Academic literature on the topic 'Health facilities Australia Data processing'
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Journal articles on the topic "Health facilities Australia Data processing"
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Courtney, Mary, Maria T. O'Reilly, Helen Edwards, and Stacey Hassall. "Benchmarking clinical indicators of quality for Australian residential aged care facilities." Australian Health Review 34, no. 1 (2010): 93. http://dx.doi.org/10.1071/ah09663.
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To undertake exploratory benchmarking of a set of clinical indicators of quality care in residential care in Australia, data were collected from 107 residents within four medium-sized facilities (40–80 beds) in Brisbane, Australia. The proportion of residents in each sample facility with a particular clinical problem was compared with US Minimum Data Set quality indicator thresholds. Results demonstrated variability within and between clinical indicators, suggesting breadth of assessment using various clinical indicators of quality is an important factor when monitoring quality of care. More comprehensive and objective measures of quality of care would be of great assistance in determining and monitoring the effectiveness of residential aged care provision in Australia, particularly as demands for accountability by consumers and their families increase. What is known about the topic?The key to quality improvement is effective quality assessment, and one means of evaluating quality of care is through clinical outcomes. The Minimum Data Set quality indicators have been credited with improving quality in United States nursing homes. What does this paper add?The Clinical Care Indicators Tool was used to collect data on clinical outcomes, enabling comparison of data from a small Australian sample with American quality benchmarks to illustrate the utility of providing guidelines for interpretation. What are the implications for practitioners?Collecting and comparing clinical outcome data would enable practitioners to better understand the quality of care being provided and whether practices required review. The Clinical Care Indicator Tool could provide a comprehensive and systematic means of doing this, thus filling a gap in quality monitoring within Australian residential aged care.
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Kusuma, Aniek Suryanti, Welda Welda, and I. Komang Juliana. "Penentuan Lokasi Fasilitas Kesehatan Strategis Menggunakan Metode Naive Bayes pada RSU Bintang." INFORMAL: Informatics Journal 6, no. 2 (August 30, 2021): 52. http://dx.doi.org/10.19184/isj.v6i2.23798.
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At present the selection of strategic health facility locations is not easy, to determine the right location and in accordance with the needs of patients must use the right calculation. Bintang General Hospital (RSU Bintang) has difficulties in determining the strategic location of new health facilities. The difficulty is due to the absence of data processing from the current system so that in determining the location of strategic health facilities is not based on data that has been analyzed. Based on the problems experienced by RSU Bintang and to assist in making a decision in establishing a strategic health facility location, a study was made to design a decision support system that can perform calculations to determine the location of the most strategic health facility with the title "Decision Support System. Determining the Location of Strategic Health Facilities Using the Naive Bayes Method at RSU Bintang”. Decision support system that is built will have several functions, such as processing patient register data, user data processing, alternative location data processing, criteria data processing, data processing rules, Naive Bayes calculations and managing several reports that can be used as decision support for the RSU Bintang. in determining the location of the most strategic health facilities. In this system, testing has been done by using blackbox testing which gets the test results in accordance with the system design.
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Abekah-Nkrumah, Gordon, Maxwell Antwi, Alex Yao Attachey, Wendy Janssens, and Tobias F. Rinke de Wit. "Readiness of Ghanaian health facilities to deploy a health insurance claims management software (CLAIM-it)." PLOS ONE 17, no. 10 (October 5, 2022): e0275493. http://dx.doi.org/10.1371/journal.pone.0275493.
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Introduction Inadequate, inefficient and slow processing of claims are major contributors to the cost of health insurance schemes, and therefore undermining their sustainability. This study uses the Technology, Organisation and Environment (TOE) framework to examine the preparedness of health facilities of the Christian Health Association of Ghana (CHAG) to implement a digital mobile health insurance claims processing software (CLAIM-it), which aims to increase efficiency. Methods The study used a cross-sectional mixed method design to collect data (technology and human capital capacity and baseline operational performance of claims management) from a sample of 20 CHAG health facilities across Ghana. While quantitative data was analysed using simple descriptive statistics statistics (frequencies, mean, minimum and maximum values), qualitative interviews were recorded, transcribed and abstracted into two major themes that were reported to re-enforce the quantitative findings. Results The quantitative results revealed challenges including inadequate computers and accessories, adequate numbers and skills for claims processing, poor intranets and internet access, absence of a robust post-implementation support system and inadequate standard operating procedures (SOPs) for seamless automation of claims processing. In addition to the above, the qualitative results emphasised the need to make CLAIM-it more flexible and capable of being integrated into third-party softwares. Notwithstanding the challenges, decision-makers in CHAG health facilities see the CLAIM-it software as having better functionality and superior capabilities compared to existing claims processing systems in Ghana. Conclusion Notwithstanding the challenges, the CLAIM-it software is more likely to be adopted by decision-makers, given the positive perception in terms of superior functionality. It is important that key actors in claims management at the National Health Insurance collaborate with relevant stakeholders to adopt the CLAIM-it software for claims processing and management in Ghana.
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Simmonds, Frances, and Tara Stevermuer. "The AROC Annual Report: the state of rehabilitation in Australia 2006." Australian Health Review 32, no. 1 (2008): 85. http://dx.doi.org/10.1071/ah080085.
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This is the second comprehensive annual report that describes patients discharged from subacute inpatient rehabilitation programs provided by facilities that are members of the Australasian Rehabilitation Outcomes Centre (AROC). The inaugural annual report was published in April 2007 and described the 2005 data. (Aust Health Rev 2007: 31 Suppl 1: s31-s53.)
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Miningwa, Alex. "INFLUENCE OF SOURCE OF DATA, INFORMATION FLOWS AND EXCHANGE PLATFORMS ON LEVEL OF HIS FEEDBACK IN PUBLIC HEALTH FACILITIES." American Journal of Data, Information and Knowledge Management 2, no. 1 (August 5, 2021): 43–53. http://dx.doi.org/10.47672/ajdikm.763.
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Purpose: Data collection is the first step of the information process within the health information system, so health information systems are often classified according to data collection method. The general objective of the study was to evaluate influence of source of data, information flows and exchange platforms on level of HIS feedback in public health facilities
Methodology: The paper used a desk study review methodology where relevant empirical literature was reviewed to identify main themes and to extract knowledge gaps.
Findings: The study concludes that there was feedback at all levels in the HIS. The feedback was on referrals, disease prevalence rates and policy implementation. The feedback was beneficial in terms of helping the health facilities improve data collection, information processing and general implementation of the Health policies. Feedback provided was relevant especially from the Ministry of Health.
Recommendations: There is need for Ministry of Health should to increase interaction (feedback) with the lower level health facilities. Ministry of Health should give priority to all health facilities in terms of processing information obtained and feedback given on timely basis. This will improve decision making in all facilities that share information through HIS. Moreover ministry of Health and Administrators of Health facilities should strengthen HIS for the benefit of improving service delivery in the Health Sector. This can be through increasing capacity of the HIS to satisfy needs of all stakeholders
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Hendri, Ridar, Eni Yulinda, and Clara Yolandika. "Halal Practices on the Shrimp Paste Processing Industries for Business Development in Rokan Hilir, Riau Indonesia." International Journal of Halal Research 4, no. 1 (April 25, 2022): 14–18. http://dx.doi.org/10.18517/ijhr.4.1.14-19.2022.
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This survey research aims to analyse the application of halal practices on the terasi (shrimp paste) processing industry in Rokan Hilir Regency, Riau Province, Indonesia. The location was determined purposively because it is the centre of the largest shrimp paste processing industry in the province. There’re 10 of 54 the total shrimp paste processing companies were sampled: two large companies, two medium companies, and six small companies. Data was collected by interviewing the owner of the company as a respondent, using a questionnaire guide. Data of halal practices refer to the Halal Fatwa Standardization of the Indonesian Ulema Council, include: manufacturer management, physical facilities, production equipment facilities, processing procedure, and storage procedures. Data processing used descriptive statistical methods with SPSS version 25. The results showed that the halal practices application level on the shrimp paste processing industries in Rokan Hilir was still low, the average is only 67.10%. The application rate showed that large companies (69.66%), small companies (50.66%), and medium (94.98%). The low application of halal practices in shrimp processing large-companies, because the owner come from non-Muslim circles so they don't understand well the principles of halal. Meanwhile in small companies, it’s caused by limited capital, especially to build processing facilities whose quality’s standard and could be well controlled. This phenomenon’s worried because it could threaten the sustainability of the shrimp paste processing industry in Rokan Hilir in the future. The last, the products’re marketed to Java Island, Indonesia and Malaysia, which are Muslim dominantly.
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Richards, John, and Todd Brozell. "Compilation and Evaluation of Ambient Respirable Crystalline Silica Air Quality Data near Sand Quarries and Processing Facilities." Atmosphere 12, no. 7 (July 13, 2021): 903. http://dx.doi.org/10.3390/atmos12070903.
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Ambient respirable crystalline silica air quality is of concern to many communities near mineral processing facilities and to regulatory agencies serving these communities. Accurate air quality data are needed to compare measured respirable crystalline silica concentrations at the fencelines of mineral processing facilities with the published health effect guideline published by the California Office of Health Hazard Assessment (OEHHA). This article is a compilation and evaluation of air quality studies around a diverse set of nineteen sand producing facilities. The respirable crystalline silica air quality data compiled by Air Control Techniques, P.C. and most of the data compiled by other researchers cited in this article have been measured using EPA Reference Method samplers adjusted for respirable crystalline silica sampling and NIOSH Method 7500 X-ray diffraction analyses. The authors conclude that (1) the ambient concentrations in the diverse set of mineral processing facilities were consistently lower than the 3.0 microgram per cubic meter chronic reference exposure level (REL) adopted by OEHHA, (2) upwind-to-downwind fenceline concentration differences were small, and (3) the fenceline t concentrations were often at background concentration levels. The authors recommend additional sampling studies to better characterize background concentrations of ambient respirable crystalline silica.
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Frieyadie, Frieyadie, Anggie Andriansyah, and Tyas Setiyorini. "VILLAGE GROUPING BASED ON THE NUMBER OF HEALTH FACILITIES IN WEST JAVA USING K-MEANS CLUSTERING ALGORITHM." Jurnal Riset Informatika 4, no. 1 (December 12, 2021): 71–78. http://dx.doi.org/10.34288/jri.v4i1.300.
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Health is very important for the welfare and development of the Indonesian nation because as a capital for the implementation of national development, it is essentially the development of all Indonesian people and the development of all Indonesian people. Due to the outbreak of the Covid-19 virus, many health facilities must be provided for patients. Of course, the government must pay attention to the health facilities that can be used in every district/city in West Java in the future. Therefore, to determine the level of availability of sanitation facilities in each district/city in West Java, we need a technology that can classify data correctly. One method of data processing in data mining is clustering. The application of clustering to this problem can use the K-Means algorithm method to group the most frequently used data. The purpose of this study is to classify sanitation data on the highest sanitation facilities, medium sanitation facilities, and low sanitation facilities, so that areas/cities that are included in the low cluster will receive more attention from the government to improve/provide sanitation facilities.
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Lysaniuk, Benjamin, María Fernanda Cely-García, Margarita Giraldo, Joan M. Larrahondo, Laura Marcela Serrano-Calderón, Juan Carlos Guerrero-Bernal, Leonardo Briceno-Ayala, Esteban Cruz Rodriguez, and Juan Pablo Ramos-Bonilla. "Using GIS to Estimate Population at Risk Because of Residence Proximity to Asbestos Processing Facilities in Colombia." International Journal of Environmental Research and Public Health 18, no. 24 (December 17, 2021): 13297. http://dx.doi.org/10.3390/ijerph182413297.
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The recent enactment of the law banning asbestos in Colombia raises a significant number of challenges. The largest factories that have historically processed asbestos include five asbestos-cement facilities located in the cities of Sibaté (Cundinamarca), Cali (Valle del Cauca), and Barranquilla (Atlántico), and Manizales (Caldas), which has two, as well as a friction products facility in Bogotá D.C. An asbestos chrysotile mine has also operated in Colombia since 1980 in Campamento (Antioquia). In the framework of developing the National Asbestos Profile for Colombia, in this study, we estimated the population residing in the vicinity of asbestos processing plants or the mine and, therefore, potentially at risk of disease. Using a geographic information system, demographic data obtained from the last two general population censuses were processed to determine the number of people living within the concentric circles surrounding the asbestos facilities and the mine. In previous studies conducted in different countries of the world, an increased risk of asbestos-related diseases has been reported for people living at different distance bands from asbestos processing facilities. Based on these studies, circles of 500, 1000, 2000, 5000, and 10,000 m radii, centered on the asbestos processing facilities and the mine that operated in Colombia, were combined with the census data to estimate the number of people living within these radii. Large numbers of people were identified. It is estimated that in 2005, at the country level, 10,489 people lived within 500 m of an asbestos processing facility or mine. In 2018, and within a distance of 10,000 m, the number of people was 6,724,677. This information can aid public health surveillance strategies.
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O C, Odeyale, Abegunrin O O, Olayemi O O, Ogunsola J O, Adelusi F T, and Ajanaku A O. "Utilization of modern animal processing facilities among butchers in amosun abattoir, akinyele local government area of oyo state." Global Journal of Agricultural Sciences 21, no. 2 (December 19, 2022): 111–18. http://dx.doi.org/10.4314/gjass.v21i2.2.
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To ensure good public health standard, the quality of management of abattoirs in the aspect of compliance to standard practice of meat inspection, sanitation and utilisation of modern facilities is fundamental. This study therefore examined utilization of modern animal processing facilities among butchers at Amosun abattoir in Akinyele Local Government Area of Oyo State. Simple random sampling was used to select 53% of the butchers out of 212 who use modern processing facilities to give total number of 112 respondents. Data were analysed using descriptive and inferential statistics such as frequency, percentage and Pearson Product Moment Correlation (PPMC). The result showed that all the respondents were male (100%) and married (90.1%). Also, 81.98% were below 50 years, 45% of them had primary school education and practiced Islamic religion (75.70%). The result further revealed that majority (70.3%) had low utilisation of modern processing facilities as well as unfavourable attitude (55.0%). Majority (64.0%) of the respondents identified some of the constraints to utilisation of modern processing facilities to be high. PPMC showed that there is significant relationship between utilisation of modern processing facilities and attitude (r= 0.221, p = 0.02). Also, constraints and respondents attitude toward utilisation of modern processing facilities was significantly related (r = -0.257, p= 0.007). It is therefore recommended that government should organize seminar and programmes to create awareness on the importance of utilizing modern animal processing facilities.
Dissertations / Theses on the topic "Health facilities Australia Data processing"
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Ling, Meng-Chun. "Senior health care system." CSUSB ScholarWorks, 2005. https://scholarworks.lib.csusb.edu/etd-project/2785.
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Senior Health Care System (SHCS) is created for users to enter participants' conditions and store information in a central database. When users are ready for quarterly assessments the system generates a simple summary that can be reviewed, modified, and saved as part of the summary assessments, which are required by Federal and California law.
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Stettheimer, Timothy Dwight. "Modeling Utilization of Planned Information Technology." Thesis, University of North Texas, 2000. https://digital.library.unt.edu/ark:/67531/metadc2496/.
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Implementations of information technology solutions to address specific information problems are only successful when the technology is utilized. The antecedents of technology use involve user, system, task and organization characteristics as well as externalities which can affect all of these entities. However, measurement of the interaction effects between these entities can act as a proxy for individual attribute values. A model is proposed which based upon evaluation of these interaction effects can predict technology utilization. This model was tested with systems being implemented at a pediatric health care facility. Results from this study provide insight into the relationship between the antecedents of technology utilization. Specifically, task time provided significant direct causal effects on utilization. Indirect causal effects were identified in task value and perceived utility constructs. Perceived utility, along with organizational support also provided direct causal effects on user satisfaction. Task value also impacted user satisfaction in an indirect fashion. Also, results provide a predictive model and taxonomy of variables which can be applied to predict or manipulate the likelihood of utilization for planned technology.
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Forsyth, Rowena Public Health & Community Medicine Faculty of Medicine UNSW. "Tricky technology, troubled tribes: a video ethnographic study of the impact of information technology on health care professionals??? practices and relationships." Awarded by:University of New South Wales. School of Public Health and Community Medicine, 2006. http://handle.unsw.edu.au/1959.4/30175.
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Whilst technology use has always been a part of the practice of health care delivery, more recently, information technology has been applied to aspects of clinical work concerned with documentation. This thesis presents an analysis of the ways that two professional groups, one clinical and one ancillary, at a single hospital cooperatively engage in a work practice that has recently been computerised. It investigates the way that a clinical group???s approach to and actual use of the system creates problems for the ancillary group. It understands these problems to arise from the contrasting ways that the groups position their use of documentation technology in their local definitions of professional status. The data on which analysis of these practices is based includes 16 hours of video recordings of the work practices of the two groups as they engage with the technology in their local work settings as well as video recordings of a reflexive viewing session conducted with participants from the ancillary group. Also included in the analysis are observational field notes, interviews and documentary analysis. The analysis aimed to produce a set of themes grounded in the specifics of the data, and drew on TLSTranscription?? software for the management and classification of video data. This thesis seeks to contribute to three research fields: health informatics, sociology of professions and social science research methodology. In terms of health informatics, this thesis argues for the necessity for health care information technology design to understand and incorporate the work practices of all professional groups who will be involved in using the technology system or whose work will be affected by its introduction. In terms of the sociology of professions, this thesis finds doctors and scientists to belong to two distinct occupational communities that each utilise documentation technology to different extents in their displays of professional competence. Thirdly, in terms of social science research methodology, this thesis speculates about the possibility for viewing the engagement of the groups with the research process as indicative of their reactions to future sources of outside perturbance to their work.
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Serobatse, Moilwa Denton. "The challenge of implementing health information systems : a case study in Charlotte Maxeke Johannesburg Academic Hospital." Thesis, Stellenbosch : Stellenbosch University, 2013. http://hdl.handle.net/10019.1/80058.
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Thesis (MPhil)--Stellenbosch University, 2013.ENGLISH ABSTRACT: This thesis investigates the complexities involved in Health Information Systems. The focus is on the factors of a) efficiency and b) usability. A case study is made of a recently implemented system in Charlotte Maxeke Johannesburg Academic hospital. The first objective of the research was to gain a deeper understanding of the complexities of Health Information Systems, and secondly to evaluate the situation at Charlotte Maxeke Johannesburg Academic Hospital. In Chapter 1 a detailed introduction of the thesis is offered. This includes, explaining what triggered the research, the objective of the research and the methodology used to conduct the research. In Chapter 2 the focus is on a literature review of Health Information Systems, system fundamentals and planning and implementation. It is clear that without a methodology, systems development becomes haphazard and subsequently a risky and expensive undertaking. While change is pervasive, introducing operational efficiencies sometimes may necessitate reviewing of information systems and business strategy, knowledge management and process orientation. In Chapter 3 the issue of usability is investigated. Several healthcare institutions have implemented information systems but evaluations of the usability of these systems are still under debate. For purposes of this research an evaluation method for system usability and survey questionnaires were developed. In Chapter 4 the case study of Charlotte Maxeke Johannesburg Academic Hospital is reported. The chapter also describes the data collection design, research limitations and delimitations, survey findings and interpretations. In Chapter 5 the implications and applications of Health Information Systems are discussed. After analysis of the survey results, it appears that the impact and benefits of the new Health Information System are only positive or realized in the patient administration division. The rest of the health professionals continue to manually capture clinical notes and other management information on pieces of papers, spread sheets and word documents. The thesis comes to the conclusion that despite widespread use of technology in other sectors, clinicians in hospitals do not use implemented automated systems. Implementation of systems is complex and problems associated with usability are not resolved and that traditional systems implementation methodologies may not apply.
AFRIKAANSE OPSOMMING: Die tesis ondersoek die faktore wat Gesondheidstelsels (HIC) ingewikkeld maak. Die fokus is op a) doeltreffendheid, en b) bruikbaarheid (uit gebruikersoogpunt). ‘n Gevallestudie word gemaak van ‘n stelsel wat onlangs by Chalotte Maxeke Johannesburg Akakdemiese Hospitaal in gebruik geneem is. Die eerste doelwit van die ondersoek was om die ingewikkeldheidsgraad van sodanige stelsels te probeer bepaal, en tweedens om die situasie in die hospitaal self te evalueer. In hoofstauk 1 word die agtergond en aanleiding tot die ondersoek uiteengesite, woel as die metodologiese keuses wat gemaak is. Hoofstuk 2 bied ‘n oorsig oor relevante literatuur ten ospigte van HIC. Dit is duidelik stlselontwikkeling riskant, onnodig duur en koersloos is as dit sonder ‘n duidelike metodologie geïmplementeer word. Verandering vind voortdurend plaas en die implementering van oprasionele doeltreffendheid mag vernadering in besigheidstrategie, informasiestelsels, kennisbestuur en processoriëntasie noodsaaklik maak. In hoofstuk 3 word bruikbaarheid ondersoek. Verskeie mediese instellings het soortgelyke stelsels in gebruik geneem, maar die bruikbaarheid daarvan is steeds onseker. Vir die doeleindes van hierdie tesis is ‘n eie evaluasiemetode ontwikkel en ‘n vraelys op grond daarvan opgestel. Hoofstuk 4 rapporteer die gevallestudie in Charlotte Maxeke Johannesburg Akademiese Horspitaal hospital. Datakolleksie, navorsingsafbakening en – beperkinge, sowel as vraelysresultate word aangebied. Hoofstuk 5 bespreek die implikasies en toepassings van HIC. Dit blyk dat die voordele van die stelsel slegs deur die pasiëntadministrasieafdeling geniet word. Alle ander afdeling gaan steeds voort met papiergebaseerde inligtingstelsels, aangevaul deur ad hoc gebruik van Excel en woordprossering. Die tesis kom tot die gevolgtrekking dat kliniese personeel avers is teen die gebruik van geoutomatiseerde informasiestelsels.
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Wilmot, Peter Nicholas. "Modelling cooling tower risk for Legionnaires' Disease using Bayesian Networks and Geographic Information Systems." Title page, contents and conclusion only, 1999. http://web4.library.adelaide.edu.au/theses/09SIS.M/09sismw744.pdf.
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Includes bibliographical references (leaves 115-120) Establishes a Bayesian Belief Network (BBN) to model uncertainty of aerosols released from cooling towers and Geographic Information Systems (GIS) to create a wind dispersal model and identify potential cooling towers as the source of infection. Demonstrates the use of GIS and BBN in environmental epidemiology and the power of spatial information in the area of health.
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Ngwenya, Mandlenkosi. "Health systems data interoperability and implementation." Diss., 2018. http://hdl.handle.net/10500/24862.
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Objective The objective of this study was to use machine learning and health standards to address the problem of clinical data interoperability across healthcare institutions. Addressing this problem has the potential to make clinical data comparable, searchable and exchangeable between healthcare providers.
Data sources Structured and unstructured data has been used to conduct the experiments in this study. The data was collected from two disparate data sources namely MIMIC-III and NHanes. The MIMIC-III database stored data from two electronic health record systems which are CareVue and MetaVision. The data stored in these systems was not recorded with the same standards; therefore, it was not comparable because some values were conflicting, while one system would store an abbreviation of a clinical concept, the other would store the full concept name and some of the attributes contained missing information. These few issues that have been identified make this form of data a good candidate for this study. From the identified data sources, laboratory, physical examination, vital signs, and behavioural data were used for this study.
Methods This research employed a CRISP-DM framework as a guideline for all the stages of data mining. Two sets of classification experiments were conducted, one for the classification of structured data, and the other for unstructured data. For the first experiment, Edit distance, TFIDF and JaroWinkler were used to calculate the similarity weights between two datasets, one coded with the LOINC terminology standard and another not coded. Similar sets of data were classified as matches while dissimilar sets were classified as non-matching. Then soundex indexing method was used to reduce the number of potential comparisons. Thereafter, three classification algorithms were trained and tested, and the performance of each was evaluated through the ROC curve. Alternatively the second experiment was aimed at extracting patient’s smoking status information from a clinical corpus. A sequence-oriented classification algorithm called CRF was used for learning related concepts from the given clinical corpus. Hence, word embedding, random indexing, and word shape features were used for understanding the meaning in the corpus.
Results Having optimized all the model’s parameters through the v-fold cross validation on a sampled training set of structured data ( ), out of 24 features, only ( 8) were selected for a classification task. RapidMiner was used to train and test all the classification algorithms. On the final run of classification process, the last contenders were SVM and the decision tree classifier. SVM yielded an accuracy of 92.5% when the and parameters were set to and . These results were obtained after more relevant features were identified, having observed that the classifiers were biased on the initial data. On the other side, unstructured data was annotated via the UIMA Ruta scripting language, then trained through the CRFSuite which comes with the CLAMP toolkit. The CRF classifier obtained an F-measure of 94.8% for “nonsmoker” class, 83.0% for “currentsmoker”, and 65.7% for “pastsmoker”. It was observed that as more relevant data was added, the performance of the classifier improved. The results show that there is a need for the use of FHIR resources for exchanging clinical data between healthcare institutions. FHIR is free, it uses: profiles to extend coding standards; RESTFul API to exchange messages; and JSON, XML and turtle for representing messages. Data could be stored as JSON format on a NoSQL database such as CouchDB, which makes it available for further post extraction exploration.
Conclusion This study has provided a method for learning a clinical coding standard by a computer algorithm, then applying that learned standard to unstandardized data so that unstandardized data could be easily exchangeable, comparable and searchable and ultimately achieve data interoperability. Even though this study was applied on a limited scale, in future, the study would explore the standardization of patient’s long-lived data from multiple sources using the SHARPn open-sourced tools and data scaling platformsInformation Science
M. Sc. (Computing)
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Zhang, Jingyuan. "Web geospatial visualisation for clustering analysis of epidemiological data." Thesis, 2014. https://vuir.vu.edu.au/25917/.
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Public health is a major factor that in reducing of disease round the world. Today, most governments recognise the importance of public health surveillance in monitoring and clarifying the epidemiology of health problems. As part of public health surveillance, public health professionals utilise the results of epidemiological analysis to reform health care policy and health service plans. There are many health reports on epidemiological analysis within government departments, but the public are not authorised to access these reports because of commercial software restrictions. Although governments publish many reports of epidemiological analysis, the reports are coded in epidemiology terminology and are almost impossible for the public to fully understand.
In order to improve public awareness, there is an urgent need for government to produce a more easily understandable epidemiological analysis and to provide an open access reporting system with minimum cost. Inevitably, it poses challenges to IT professionals to develop a simple, easily understandable and freely accessible system for public use. It is not only required to identify a data analysis algorithm which can make epidemiological analysis reports easily understood but also to choose a platform which can facilitate the visualisation of epidemiological analysis reports with minimum cost. In this thesis, there were two major research objectives: the clustering analysis of epidemiological data and the geospatial visualisation of the results of the clustering analysis. SOM, FCM and k-means, the three commonly used clustering algorithms for health data analysis, were investigated. After a number of experiments, k-means has been identified, based on Davies-Bouldin index validation, as the best clustering algorithm for epidemiological data. The geospatial visualisation requires a Geo-Mashups engine and geospatial layer customisation. Because of the capacity and many successful applications of free geospatial web services, Google Maps has been chosen as the geospatial visualisation platform for epidemiological reporting.
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Carney, Timothy Jay. "An Organizational Informatics Analysis of Colorectal, Breast, and Cervical Cancer Screening Clinical Decision Support and Information Systems within Community Health Centers." Thesis, 2013. http://hdl.handle.net/1805/3243.
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Indiana University-Purdue University Indianapolis (IUPUI)A study design has been developed that employs a dual modeling approach to identify factors associated with facility-level cancer screening improvement and how this is mediated by the use of clinical decision support. This dual modeling approach combines principles of (1) Health Informatics, (2) Cancer Prevention and Control, (3) Health Services Research, and (4) Organizational Change/Theory. The study design builds upon the constructs of a conceptual framework developed by Jane Zapka, namely, (1) organizational and/or practice settings, (2) provider characteristics, and (3) patient population characteristics. These constructs have been operationalized as measures in a 2005 HRSA/NCI Health Disparities Cancer Collaborative inventory of 44 community health centers. The first, statistical models will use: sequential, multivariable regression models to test for the organizational determinants that may account for the presence and intensity-of-use of clinical decision support (CDS) and information systems (IS) within community health centers for use in colorectal, breast, and cervical cancer screening. A subsequent test will assess the impact of CDS/IS on provider reported cancer screening improvement rates. The second, computational models will use a multi-agent model of network evolution called CONSTRUCT® to identify the agents, tasks, knowledge, groups, and beliefs associated with cancer screening practices and CDS/IS use to inform both CDS/IS implementation and cancer screening intervention strategies. This virtual experiment will facilitate hypothesis-generation through computer simulation exercises. The outcome of this research will be to identify barriers and facilitators to improving community health center facility-level cancer screening performance using CDS/IS as an agent of change. Stakeholders for this work include both national and local community health center IT leadership, as well as clinical managers deploying IT strategies to improve cancer screening among vulnerable patient populations.
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Reimer, Nila B. "Things that matter to residents in nursing homes and the nursing care implications." Thesis, 2014. http://hdl.handle.net/1805/6054.
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Indiana University-Purdue University Indianapolis (IUPUI)A move toward care of residents in nursing homes where they are respected and heard is finally emerging. Common strategies used in nursing homes to improve quality of care for residents are integration of person-centered care and assessing care using satisfaction surveys. Although approaches of integrating person-centered care and satisfaction surveys have been valuable in improving nursing home quality, strategies of care that include things that matter from residents’ perspectives while living in nursing homes need investigation. The purpose of this qualitative descriptive study was to describe things that residents age 65 and older state matter to them while living in the long-term care sections of nursing homes. A qualitative mode of inquiry using purposeful sampling led to a natural unfolding of data that revealed things that mattered to residents. Content analysis was used to reduce the data in a manner that kept the data close to the context yet moved the data toward new ideas about including things that mattered to residents in nursing care. The findings revealed residents’ positive and negative experiences and addressed the question: How can nurses manage residents’ positive and negative aspects of care in nursing homes? This study substantiated the importance of developing nursing care strategies derived from residents’ descriptions of care. Finding ways to promote nurses’ investment in attitudes about a person-centered care philosophy is essential for successful person-centered care implementation. Enhancing nurses’ knowledge, skills, and attitudes with an investment in person centeredness will be more likely to put nurses in a position to role-model care that is person-centered from residents’ perspectives.
Books on the topic "Health facilities Australia Data processing"
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Audit, United States Dept of Health and Human Services Office of Inspector General Office of. Better security needed at Medicare intermediaries' and carriers' computer facilities. [Washington, D.C.?]: Office of Inspector General, Office of Audit, 1986.
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Health care computer systems for the 1990s: Critical executive decisions. Ann Arbor, Mich: Health Administration Press, 1991.
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Rawlinson, Carole. The impact of information technology on the design of future health buildings: Progress report. (London): Medical Architecture Research Unit, Polytechnic of North London, 1985.
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Using data management techniques to modernize healthcare. Boca Raton: CRC Press, Taylor & Francis Group, 2016.
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Understanding computer resources: A healthcare perspective. Owings Mills, Md: National Health Pub., 1989.
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Service excellence in health care through the use of computers. Ann Arbor, Mich: Health Administration Press, 1990.
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Takeda, Hiroshi. E-Health: First IMIA/IFIP Joint Symposium, E-Health 2010, Held as Part of WCC 2010, Brisbane, Australia, September 20-23, 2010. Proceedings. Berlin, Heidelberg: IFIP International Federation for Information Processing, 2010.
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Melbourne, Vic ). National Health Informatics Conference (10th 2002. Improving quality by lowering barriers: HIC 2002 handbook of abstracts : Tenth National Health Informatics Conference, Melbourne, Victoria, Australia, 4-6 August 2002. Victoria, Australia: Health Informatics Society of Australia Ltd., 2002.
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Victoria. Office of the Auditor-General. Clinical ICT systems in the Victorian public health sector. Melbourne, Vic: Victorian Government Printer, 2013.
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1936-, Anderson James G., Aydin Carolyn E, and Jay Stephen J, eds. Evaluating health care information systems: Methods and applications. Thousand Oaks, Calif: Sage Publications, 1994.
Find full textBook chapters on the topic "Health facilities Australia Data processing"
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Mendelson, Danuta. "National Electronic Health Record Systems and Consent to Processing of Health Data in the European Union and Australia." In Legal Tech and the New Sharing Economy, 83–99. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-15-1350-3_6.
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Massaro, Alessandro, and Angelo Galiano. "Image Processing and Post-Data Mining Processing for Security in Industrial Applications." In Handbook of Research on Intelligent Data Processing and Information Security Systems, 117–46. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-1290-6.ch006.
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The chapter analyzes scientific approaches suitable for industrial security involving environment health monitoring and safety production control. In particular, it discusses data mining algorithms able to add hidden information important for security improvement. In particular k-means and artificial intelligence algorithms are applied in different cases of study by discussing the procedures useful to set the model including image processing and post clustering processing facilities. The chapter is focused on the discussion of information provided by data mining results. The proposed model is matched with different architectures involving different industrial applications such as biometric classification and transport security, railway inspections, video surveillance image processing, and quarry risk evaluation. These architectures refer to specific industry projects. As advanced applications, a clustering analysis approach applied on thermal radiometric images and a dynamic contour extraction process suitable for oil spill monitoring are proposed.
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Pouliakis, Abraham, Stavros Archondakis, Efrossyni Karakitsou, and Petros Karakitsos. "Cloud Computing for Cytopathologists." In Cloud Computing Applications for Quality Health Care Delivery, 250–71. IGI Global, 2014. http://dx.doi.org/10.4018/978-1-4666-6118-9.ch013.
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Cloud computing is changing the way enterprises, institutions, and people understand, perceive, and use current software systems. Cloud computing is an innovative concept of creating a computer grid using the Internet facilities aiming at the shared use of resources such as computer software and hardware. Cloud-based system architectures provide many advantages in terms of scalability, maintainability, and massive data processing. By means of cloud computing technology, cytopathologists can efficiently manage imaging units by using the latest software and hardware available without having to pay for it at non-affordable prices. Cloud computing systems used by cytopathology departments can function on public, private, hybrid, or community models. Using cloud applications, infrastructure, storage services, and processing power, cytopathology laboratories can avoid huge spending on maintenance of costly applications and on image storage and sharing. Cloud computing allows imaging flexibility and may be used for creating a virtual mobile office. Security and privacy issues have to be addressed in order to ensure Cloud computing wide implementation in the near future. Nowadays, cloud computing is not widely used for the various tasks related to cytopathology; however, there are numerous fields for which it can be applied. The envisioned advantages for the everyday practice in laboratories' workflow and eventually for the patients are significant. This is explored in this chapter.
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Mohammadian, Masoud, and Ric Jentzsch. "A Mobile Computing Framework for Passive RFID Detection System in Health Care." In Mobile Computing, 3368–86. IGI Global, 2009. http://dx.doi.org/10.4018/978-1-60566-054-7.ch248.
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The cost of health care continues to be a world wide issue. Research continues into ways and how the utilization of evolving technologies can be applied to reduce costs and improve patient care, while maintaining patient’s lives. To achieve these needs requires accurate, near real time data acquisition and analysis. At the same time there exists a need to acquire a profile on a patient and update that profile as fast and as possible. All types of confidentiality need to be addressed no matter which technology and application is used. One possible way to achieve this is to use a passive detection system that employs wireless radio frequency identification (RFID) technology. This detection system can integrate wireless networks for fast data acquisition and transmission, while maintaining the privacy issue. Once this data is obtained, then up to date profiling can be integrated into the patient care system. This article discussed the use and need for a passive RFID system for patient data acquisition in health care facilities such as a hospital. The development of profile data is assisted by a profiling intelligent software agent that is responsible for processing the raw data obtained through RFID and database and invoking the creation and update of the patient profile.
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Mohammadian, Masoud, and Ric Jentzsch. "A Mobile Computing Framework for Passive RFID Detection System in Health Care." In Encyclopedia of Healthcare Information Systems, 890–905. IGI Global, 2008. http://dx.doi.org/10.4018/978-1-59904-889-5.ch111.
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The cost of health care continues to be a world wide issue. Research continues into ways and how the utilization of evolving technologies can be applied to reduce costs and improve patient care, while maintaining patient’s lives. To achieve these needs requires accurate, near real time data acquisition and analysis. At the same time there exists a need to acquire a profile on a patient and update that profile as fast and as possible. All types of confidentiality need to be addressed no matter which technology and application is used. One possible way to achieve this is to use a passive detection system that employs wireless radio frequency identification (RFID) technology. This detection system can integrate wireless networks for fast data acquisition and transmission, while maintaining the privacy issue. Once this data is obtained, then up to date profiling can be integrated into the patient care system. This article discussed the use and need for a passive RFID system for patient data acquisition in health care facilities such as a hospital. The development of profile data is assisted by a profiling intelligent software agent that is responsible for processing the raw data obtained through RFID and database and invoking the creation and update of the patient profile.
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Abirami, K., P. Deepalakshmi, and Shanmuk Srinivas Amiripalli. "Personalized Smart Diabetic System Using Hybrid Models of Neural Network Algorithms." In Computational Intelligence and Machine Learning Approaches in Biomedical Engineering and Health Care Systems, 141–59. BENTHAM SCIENCE PUBLISHERS, 2022. http://dx.doi.org/10.2174/9781681089553122010011.
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The healthcare sector is rapidly evolving due to the exponential growth of the digital space and emerging technologies. Maintaining and effectively handling large quantities of data has become difficult in all industries. Furthermore, collecting helpful knowledge from extensive data collection is a daunting challenge. There would be an immense amount of data that continues to grow, making it harder and harder to find some helpful information. In the healthcare industry, big data analytics offers a variety of tools and strategies for detecting or predicting illnesses faster and delivering better healthcare facilities to the right patient at the right time to increase the quality of life. It is not as simple as one would imagine, given the myriad functional challenges that need to be addressed within current health data analytics systems that offer procedural frameworks for data collection, aggregation, processing, review, simulation, and interpretation. This chapter aims to design a long-term, commercially viable, and intelligent diabetes diagnosis approach with tailored care. Due to a lack of systematic studies in the previous literature, this chapter describes the different computational methods used in big data analytical techniques and the various phases and modules that transform the healthcare economy from data collection to knowledge distribution. The investigation findings indicate that the suggested framework will effectively offer adapted evaluation and care advice to patients, emphasizing a knowledge exchange approach and adapted data processing model for the smart diabetic system.
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Ramsey, Gregory W., and Sanjay Bapna. "Predicting Patient Turnover." In Computational Methods and Algorithms for Medicine and Optimized Clinical Practice, 108–32. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-8244-1.ch006.
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Predicting patient turnover within health services is beneficial for resource planning. In this chapter, patient turnover is viewed as a form of customer churn. As such, the authors examine whether free-form notes are useful for solving the classification problem typically associated with customer churn. The authors show that classifiers which incorporate free-form notes, using natural language processing techniques, are up to 11% more accurate than classifiers that are solely developed using structured data. In addition, the authors show that free-form notes aggregated for each account perform better than treating each note separately. It is suggested that hospitals and chronic disease management clinics can use structured data and free-form notes from electronic health records to predict which patients are likely to cease receiving care from their facilities. Classification tools for predicting patient churn are of interest to hospital administrators; such information can aid in resource planning and facilitates smoother handoffs between care providers.
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Nair, T. R. Gopalakrishnan. "Advances in Electrocardiogram Information Management." In Encyclopedia of Information Science and Technology, Third Edition, 3296–304. IGI Global, 2015. http://dx.doi.org/10.4018/978-1-4666-5888-2.ch324.
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One of the interesting challenges in health care field is the intelligent interpretation of signals from human being duly measured by various instruments like ECG, EEG etc. Automated ECG Analysis is expected to provide a good guidance in interpreting anomalies of the human heart. Computerized ECG analysis has been found to be specially useful in primary care facilities where specialists are not available to do that very easily. At the same time, surveys indicate that use of computer based ECG interpretation has not resulted in a very significant augmentation of diagnostic accuracy of physicians yet. Study of those probable incoherence appearing in interpretations are related to various aspects of handling ECG like data acquisition, noise removal, feature extraction, logical processing and pattern recognition. There exists several opportunities to improve the automated solution in each of these areas. This paper presents the work done till now on analysis and subsequent interpretation of fiducial points. There are various types of faulty heart conditions existing, and often they get manifested through ECG. There exist various technological approaches which can enable the automated interpretation of ECG.
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Maiti, Prasenjit, Sourav Kanti Addya, Bibhudatta Sahoo, and Ashok Kumar Turuk. "Energy Efficient Wireless Body Area Network (WBAN)." In Advances in Wireless Technologies and Telecommunication, 413–32. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-0486-3.ch017.
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Healthcare expenses are a growing concern in most countries. This has forced medical researchers to look for trusted and ambulatory health monitoring of patient's vital signs. The objective is to reduce patient visits and the use of medical and support staff for frequent examinations. Wireless Body Area Networks (WBAN) consist of implanted, or worn, tiny health monitoring sensor nodes so that the vital body parameters and the movements of the patient can be recorded and communicated to the medical facilities for processing, diagnosis and prescription. WBAN is required to have small form and low power consumption. Reducing energy consumption of the sensor and communication equipment is one of the key research areas. It is also important for WBAN be secure, protected and reliable. Failure to acquire authentic and correct medical data may prevent a patient from being treated effectively, or even lead to wrong treatments. As patient identity can be obtained by correlating physiological information, privacy concerns must be addressed for wide acceptance of the technology. While security is paramount, the cost of implementing security techniques in WBAN may be prohibitive. It, therefore, becomes necessary to find cryptographic solutions that consume less energy. Research efforts are being made to reduce the cost of cryptography used in WBAN. In this paper authors discuss the current and future security solutions for low energy WBAN.
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Maiti, Prasenjit, Sourav Kanti Addya, Bibhudatta Sahoo, and Ashok Kumar Turuk. "Energy Efficient Wireless Body Area Network (WBAN)." In Renewable and Alternative Energy, 1093–112. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-1671-2.ch035.
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Healthcare expenses are a growing concern in most countries. This has forced medical researchers to look for trusted and ambulatory health monitoring of patient's vital signs. The objective is to reduce patient visits and the use of medical and support staff for frequent examinations. Wireless Body Area Networks (WBAN) consist of implanted, or worn, tiny health monitoring sensor nodes so that the vital body parameters and the movements of the patient can be recorded and communicated to the medical facilities for processing, diagnosis and prescription. WBAN is required to have small form and low power consumption. Reducing energy consumption of the sensor and communication equipment is one of the key research areas. It is also important for WBAN be secure, protected and reliable. Failure to acquire authentic and correct medical data may prevent a patient from being treated effectively, or even lead to wrong treatments. As patient identity can be obtained by correlating physiological information, privacy concerns must be addressed for wide acceptance of the technology. While security is paramount, the cost of implementing security techniques in WBAN may be prohibitive. It, therefore, becomes necessary to find cryptographic solutions that consume less energy. Research efforts are being made to reduce the cost of cryptography used in WBAN. In this paper authors discuss the current and future security solutions for low energy WBAN.
Conference papers on the topic "Health facilities Australia Data processing"
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Penman, Joy, and Kerre A Willsher. "New Horizons for Immigrant Nurses Through a Mental Health Self-Management Program: A Pre- and Post-Test Mixed-Method Approach." In InSITE 2021: Informing Science + IT Education Conferences. Informing Science Institute, 2021. http://dx.doi.org/10.28945/4759.
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Aim/Purpose: This research paper reports on the evaluation of a mental health self-management program provided to immigrant nurses working at various rural South Australian aged care services. Background: The residential aged care staffing crisis is severe in rural areas. To improve immigrant nurses’ employment experiences, a mental health self-management program was developed and conducted in rural and regional health care services in South Australia. Methodology: A mixed approach of pre- and post-surveys and post workshop focus groups was utilized with the objectives of exploring the experiences of 25 immigrant nurses and the impact of the mental health program. Feminist standpoint theory was used to interpret the qualitative data. Contribution: A new learning environment was created for immigrant nurses to learn about the theory and practice of maintaining and promoting mental health. Findings: Statistical tests showed a marked difference in responses before and after the intervention, especially regarding knowledge of mental health. The results of this study indicated that a change in thinking was triggered, followed by a change in behaviour enabling participants to undertake self-management strategies. Recommendations for Practitioners: Include expanding the workshops to cover more health care practitioners. Recommendations for Researchers: Feminist researchers must actively listen and examine their own beliefs and those of others to create knowledge. Extending the program to metropolitan areas and examining differences in data. E technology such as zoom, skype or virtual classrooms could be used. Impact on Society: The new awareness and knowledge would be beneficial in the family and community because issues at work can impact on the ability to care for the family, and there are often problems around family separation. Future Research: Extending the research to include men and staff of metropolitan aged care facilities.
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Brown, S. H. "Design Improvements and ALARA at U.S. Uranium In Situ Recovery Facilities." In ASME 2009 12th International Conference on Environmental Remediation and Radioactive Waste Management. ASMEDC, 2009. http://dx.doi.org/10.1115/icem2009-16415.
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In the last few years, there has been a significant increase in the demand for Uranium as historical inventories have been consumed and new reactor orders are being placed. Numerous mineralized properties around the world are being evaluated for Uranium recovery and new mining / milling projects are being evaluated and developed. Ore bodies which are considered uneconomical to mine by conventional methods such as tunneling or open pits, can be candidates for non-conventional recovery techniques, involving considerably less capital expenditure. Technologies such as Uranium In Situ Leaching / In Situ Recovery (ISL / ISR - also refered to as “solution mining”), have enabled commercial scale mining and milling of relatively small ore pockets of lower grade, and are expected to make a significant contribution to overall world wide uranium supplies over the next ten years. Commercial size solution mining production facilities have operated in the US since the mid 1970’s. However, current designs are expected to result in less radiological wastes and emissions relative to these “first” generation plants (which were designed, constructed and operated through the 1980s). These early designs typically used alkaline leach chemistries in situ including use of ammonium carbonate which resulted in groundwater restoration challenges, open to air recovery vessels and high temperature calcining systems for final product drying vs the “zero emmisions” vaccum dryers as typically used today. Improved containment, automation and instrumentation control and use of vacuum dryers in the design of current generation plants are expected to reduce production of secondary waste byproduct material, reduce Radon emisions and reduce potential for employee exposure to uranium concentrate aerosols at the back end of the milling process. In Situ Recovery in the U.S. typically involves the circulation of groundwater, fortified with oxidizing (gaseous oxygen e.g) and complexing agents (carbon dioxide, e.g) into an ore body, solubilizing the uranium in situ, and then pumping the solutions to the surface where they are fed to a processing plant (mill). Processing involves ion exchange and may also include precipitation, drying or calcining and packaging operations depending on facility specifics. This paper presents an overview of the ISR process and the health physics monitoring programs developed at a number of commercial scale ISL / ISR Uranium recovery and production facillities as a result of the radiological character of these processes. Although many radiological aspects of the process are similar to that of conventional mills, conventional-type tailings as such are not generated. However, liquid and solid byproduct materials may be generated and impounded. The quantity and radiological character of these by products are related to facility specifics. Some special monitoring considerations are presented which are required due to the manner in which radon gas is evolved in the process and the unique aspects of controlling solution flow patterns underground. The radiological character of these procesess are described using empirical data collected from many operating facilities. Additionally, the major aspects of the health physics and radiation protection programs that were developed at these first generation facilities are discussed and contrasted to circumstances of the current generation and state of the art of uranium ISR technologies and facilities.
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Schmidt, Daniel S., Derek W. Staal, Jeffery W. McClung, Mark V. Behl, and Mayank Tyagi. "Bench Scale Experimental Study of Slug Flow Phenomena Using PID Control." In ASME 2018 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/imece2018-88564.
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Offshore petroleum production operations pose a unique set of challenges. A common undesirable phenomenon that occurs in these multiphase flow systems is known as slug flow. Slug flow is an oscillatory flow regime that creates large bullet shaped bubbles (also known as Taylor Bubbles) followed by large slugs of liquid. This high-rate alternation of liquid and gas production volumes in the surface facilities causes severe pressure oscillations. These oscillations adversely affect the structural health and individual components. A bench-scale closed flow loop was built with capabilities of measuring pressure and flow rates at different relevant sections. PID control strategy to mitigate the harmful effects of slug flow regime showed promise, although the tests were performed in the low pressure conditions of bench scale setup. The sensors and valve were programmed with MATLAB® to provide real time analysis, and a PID controller was utilized to adjust the back pressure. Initial experimental data and visual observation provided better understanding of slug flow regime and some quantitative data was obtained through image processing. Theoretical estimates of Taylor bubble velocities were found to be in agreement with presented observations. Further experiments are being carried out to gather data and showcase this model to develop better multiphase flow control strategies.
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Rashdi, Khalil Al, and David Spain. "Barik Reservoir Description- An Evolving Concept." In SPE Middle East Unconventional Resources Conference and Exhibition. SPE, 2015. http://dx.doi.org/10.2118/spe-172912-ms.
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Abstract Khazzan field, situated in Block 61 in northern Oman, contains hydrocarbons at several deep levels, including the Barik, Miqrat, Amin and Buah formations. The Barik and Amin reservoirs are being developed in the southern portion of the block to produce 1 bcf/d of gas by end 2017. The development, jointly owned by Oman Oil Company (40%) and BP (60% and operator), will cost over 16 billion US$ and will include a central processing facility and surface facilities for about 300 wells. Most of the wells will be 1000m long horizontal wells, completed using multiple hydraulic fracturing techniques. The two other reservoirs, Miqrat and Buah, contain high H2S levels; these will not be developed at this phase due to high subsurface uncertainties and the cost to process the sour development. This paper presents a case study of an evolving reservoir description of a large, tight gas reservoir, the Barik Formation. It is rare to embark on a major “greenfield” reservoir development of a tight gas reservoir with limited static and almost no dynamic data. The reservoir description is essential to the successful evaluation and management of the inherent subsurface uncertainty at this stage in the field development. Building an associated appraisal plan and being flexible to new understanding is required to make the development a success. The reservoir description is guiding the ongoing appraisal activities in an attempt to reduce the risk and increase the overall project value. This paper presents the evolution of the reservoir description over the last 6 years of BP activity in Block 61 in the Sultanate of Oman. It reviews three stages of reservoir description: Pre-Appraisal, Mid-Appraisal, and Development. The pre-appraisal description was built using the pre-bid data package and published literature to support the commercial access decisions. The Mid Appraisal description provided a health-check for development readiness and appraisal plan revision. Finally, the Development description is presented in a 3D geo-cellular model which is based on the summary of the appraisal activities and supporting field development learnings. The paper discusses these descriptions and the benefits of the changing description, explanation of the advantages of front end loading at the early appraisal stage and how this has led us to our current state
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Sinha, Ankaj Kumar, and Hue Teng Lim. "Application of Due Diligence Audit for Value Creation: Case Study from Gas PSC of Malaysia." In SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition. SPE, 2021. http://dx.doi.org/10.2118/205714-ms.
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Abstract As resource owner of all hydrocarbon assets of Malaysia, Petroliam Nasional Berhad (PETRONAS) through Malaysia Petroleum Management (MPM) is responsible for providing asset integrity assurance, maintaining producing assets in safe and operable conditions and ensuring compliance to data management by Petroleum Agreement Contractors (PACs). For mature fields nearing expiry of production sharing contracts (PSCs), it is even more critical to safeguard the integrity of petroleum facilities and to conduct an inventory check of acquired data during transition from existing to new PACs. A Due Diligence Audit (DDA) provides an important milestone to benchmark the health of existing assets (subsurface and surface) and outlining roadmap for future development opportunities for the PSC fields. This paper presents key technical results and value creation areas from the DDA conducted for one of the largest gas field PSC in Malaysia. This gas PSC consisted of multiple gas fields and production hubs catering to a majority of gas production in the region. Although the fields had been in production for more than 20 years, maintaining production plateau rate and optimizing operating cost were identified as key concerns for long term sustainability. New development opportunities were also needed to mitigate the same. For existing fields, incremental recovery projects focused on lowering the abandonment pressure are planned. To maximize the utilization of gas processing capacity in production hubs, nearby gas fields have also been identified for cluster development and evacuation. Assurance on long-term gas supply is targeted through fast pace exploration in the early years of new PSCs to discover new gas development areas and to further increase the operating life of these hubs. As ageing assets, each of the fields also faced unique challenges such as liquid handling, subsidence issues and increasing inventory of idle wells. Through successful application of the DDA framework, a detailed technical assessment of deliverables was conducted along with liability management to address these asset integrity risks. With the successful completion of DDA for these fields, the technical assessment deliverables have created significant PSC value by securing identified opportunities under minimum work commitments. In addition, it facilitated a roadmap for idle wells management plan and new technology in "Implement Replicate" phasing. This has helped PETRONAS to further monetize opportunities in ageing assets, and safeguard producing hubs for long-term gas supply. This paper presents an efficient Due Diligence Audit workflow for long term value creation in mature fields and assets.