Academic literature on the topic 'Electronic records Victoria'
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Journal articles on the topic "Electronic records Victoria"
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Cox, Shelley, Rohan Martin, Piyali Somaia, and Karen Smith. "The development of a data-matching algorithm to define the ‘case patient’." Australian Health Review 37, no. 1 (2013): 54. http://dx.doi.org/10.1071/ah11161.
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Objectives. To describe a model that matches electronic patient care records within a given case to one or more patients within that case. Method. This retrospective study included data from all metropolitan Ambulance Victoria electronic patient care records (n = 445 576) for the time period 1 January 2009–31 May 2010. Data were captured via VACIS (Ambulance Victoria, Melbourne, Vic., Australia), an in-field electronic data capture system linked to an integrated data warehouse database. The case patient algorithm included ‘Jaro–Winkler’, ‘Soundex’ and ‘weight matching’ conditions. Results. The case patient matching algorithm has a sensitivity of 99.98%, a specificity of 99.91% and an overall accuracy of 99.98%. Conclusions. The case patient algorithm provides Ambulance Victoria with a sophisticated, efficient and highly accurate method of matching patient records within a given case. This method has applicability to other emergency services where unique identifiers are case based rather than patient based. What is known about the topic? Accurate pre-hospital data that can be linked to patient outcomes is widely accepted as critical to support pre-hospital patient care and system performance. What does this paper add? There is a paucity of literature describing electronic matching of patient care records at the patient level rather than the case level. Ambulance Victoria has developed a complex yet efficient and highly accurate method for electronically matching patient records, in the absence of a patient-specific unique identifier. Linkage of patient information from multiple patient care records to determine if the records are for the same individual defines the ‘case patient’. What are the implications for practitioners? This paper describes a model of record linkage where patients are matched within a given case at the patient level as opposed to the case level. This methodology is applicable to other emergency services where unique identifiers are case based.
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Allen-Graham, Judith, Lauren Mitchell, Natalie Heriot, Roksana Armani, David Langton, Michele Levinson, Alan Young, Julian A. Smith, Tom Kotsimbos, and John W. Wilson. "Electronic health records and online medical records: an asset or a liability under current conditions?" Australian Health Review 42, no. 1 (2018): 59. http://dx.doi.org/10.1071/ah16095.
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Objective The aim of the present study was to audit the current use of medical records to determine completeness and concordance with other sources of medical information. Methods Medical records for 40 patients from each of five Melbourne major metropolitan hospitals were randomly selected (n=200). A quantitative audit was performed for detailed patient information and medical record keeping, as well as data collection, storage and utilisation. Using each hospital’s current online clinical database, scanned files and paperwork available for each patient audited, the reviewers sourced as much relevant information as possible within a 30-min time allocation from both the record and the discharge summary. Results Of all medical records audited, 82% contained medical and surgical history, allergy information and patient demographics. All audited discharge summaries lacked at least one of the following: demographics, medication allergies, medical and surgical history, medications and adverse drug event information. Only 49% of records audited showed evidence the discharge summary was sent outside the institution. Conclusions The quality of medical data captured and information management is variable across hospitals. It is recommended that medical history documentation guidelines and standardised discharge summaries be implemented in Australian healthcare services. What is known about this topic? Australia has a complex health system, the government has approved funding to develop a universal online electronic medical record system and is currently trialling this in an opt-out style in the Napean Blue Mountains (NSW) and in Northern Queensland. The system was originally named the personally controlled electronic health record but has since been changed to MyHealth Record (2016). In Victoria, there exists a wide range of electronic health records used to varying degrees, with some hospitals still relying on paper-based records and many using scanned medical records. This causes inefficiencies in the recall of patient information and can potentially lead to incidences of adverse drug events. What does this paper add? This paper supports the concept of a shared medical record system using 200 audited patient records across five Victorian metropolitan hospitals, comparing the current information systems in place for healthcare practitioners to retrieve data. This research identifies the degree of concordance between these sources of information and in doing so, areas for improvement. What are the implications for practitioners? Implications of this research are the improvements in the quality, storage and accessibility of medical data in Australian healthcare systems. This is a relevant issue in the current Australian environment where no guidelines exist across the board in medical history documentation or in the distribution of discharge summaries to other healthcare providers (general practitioners, etc).
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A Jones, Judith, and Bruce Farnell. "Missing and Incomplete Data Reduces the Value of General Practice Electronic Medical Records as Data Sources in Research." Australian Journal of Primary Health 13, no. 1 (2007): 74. http://dx.doi.org/10.1071/py07010.
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The objective of this study was to identify limitations to the use of electronic medical records (EMRs) in general practice and to identify consequent limitations to the value of EMRs as data sources for research or case finding. Patient demographic, diagnostic, therapeutic and administrative data pertaining to osteoporosis management during 2003 were extracted from the EMRs of participating general practitioners (GPs) in Bendigo, Victoria. Data quality was measured primarily by the absence of data from fields. Twenty-three of 60 eligible GPs participated; 29, 356 patient records were searched. Patient age or sex was missing from 1.2 per cent of records. For those with a diagnosis of osteoporosis on the record, reason for prescription was missing for 54 per cent of patients receiving osteoporosis medications, recording of Authority numbers was inconsistent and only 31 per cent of records noted fracture site in the prescription free-text detail field. The study concluded that missing data compromises the value of general practice EMRs as data sources. Researchers wishing to use EMR data will benefit from assisting GPs to appreciate and use EMR capabilities and to appreciate the value of maintaining accurate and complete datasets.
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Reid, C. L., and A. M. Ridley. "Environmental motivation and monitoring by landholders in north-east Victoria: fact, fantasy and future implications for catchment management." Australian Journal of Experimental Agriculture 47, no. 3 (2007): 346. http://dx.doi.org/10.1071/ea06021.
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This paper reports on the social and business profiles of 39 landholders (in three groups) in north-east Victoria, participating in an Environmental Management Systems (EMS) project, and their motivations for participating in EMS. The level and type of record keeping, formal monitoring, use of electronic technology, and interest or capacity to monitor their environmental performance were also assessed because this is a crucial part of the EMS process and one that research has not reported on to date. Landholder participation in EMS was mostly for reasons of wanting to better account for sustainability issues in farm management. Most participants recorded rainfall, soil test results, production measures and chemical use (in total 69–97%); however, 31% kept no chemical records. Few kept records of remnant native vegetation, pasture management, weeds, pest animals or native fauna. Electronic record keeping systems were used by 26% of participants. Almost all owned a computer and over 70% used the internet and email. To assess interest and capacity to monitor environmental performance, participants were introduced to a water balance calculation tool (this being a locally relevant issue) and asked to calculate their own values. Most participants needed two to three visits to gain confidence to perform the calculations and most did not view the tools as being of much relevance. This was in strong contrast to previous work carried out in the southern Riverina of New South Wales. We conclude that environmental monitoring is more important for catchment management authorities (CMAs) and state agencies than for landholders. If CMAs are to assess how on-farm actions lead to improved environmental performance, there is a need to collect information remotely, invest in monitoring or provide incentives for farmers. There appears to be insufficient record keeping and monitoring by landholders to trace chemical residue problems. This, in addition to a lack of environmental monitoring, means that farmers in north-east Victoria cannot substantiate either ‘clean’ or ‘green’ claims. Future work should focus on awareness and education in natural resource management, as well as improved record keeping and monitoring. Some form of recognition will be needed if the majority of farmers are to participate in environmental programs. Introductory EMS training provides a means of improving business outcomes, documentation and improving environmental management.
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Haas, Romi, Ljoudmila Busija, Alexandra Gorelik, Denise A. O'Connor, Christopher Pearce, Danielle Mazza, and Rachelle Buchbinder. "Patterns of care for people presenting to Australian general practice with musculoskeletal complaints based on routinely collected data: protocol for an observational cohort study using the Population Level Analysis and Reporting (POLAR) database." BMJ Open 11, no. 9 (September 2021): e055528. http://dx.doi.org/10.1136/bmjopen-2021-055528.
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IntroductionGeneral practice is integral to the Australian healthcare system. Outcome Health’s POpulation Level Analysis and Reporting (POLAR) database uses de-identified electronic health records to analyse general practice data in Australia. Previous studies using routinely collected health data for research have not consistently reported the codes and algorithms used to describe the population, exposures, interventions and outcomes in sufficient detail to allow replication. This paper reports a study protocol investigating patterns of care for people presenting with musculoskeletal conditions to general practice in Victoria, Australia. Its focus is on the systematic approach used to classify and select eligible records from the POLAR database to facilitate replication. This will be useful for other researchers using routinely collected health data for research.Methods and analysisThis is a retrospective cohort study. Patient-related data will be obtained through electronic health records from a subset of general practices across three primary health networks (PHN) in southeastern Victoria. Data for patients with a low back, neck, shoulder and/or knee condition and who received at least one general practitioner (GP) face-to-face consultation between 1 January 2014 and 31 December 2018 will be included. Data quality checks will be conducted to exclude patients with poor data recording and/or non-continuous follow-up. Relational data files with eligible and valid records will be merged to select the study cohort and the GP care received (consultations, imaging requests, prescriptions and referrals) between diagnosis and 31 December 2018. Number and characteristics of patients and GPs, and number, type and timing of imaging requests, prescriptions for pain relief and referrals to other health providers will be investigated.Ethics and disseminationEthics approval was obtained from the Cabrini and Monash University Human Research Ethics Committees (Reference Numbers 02-21-01-19 and 16975, respectively). Study findings will be reported to Outcome Health, participating PHNs, disseminated in academic journals and presented in conferences.
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Diepeveen, Lara Clare, Elise Fraser, Anna Jane Elizabeth Croft, Angela Jacques, Adelle M. McArdle, Kathy Briffa, and Leanda McKenna. "Regional and Facility Differences in Interventions for Mastitis by Australian Physiotherapists." Journal of Human Lactation 35, no. 4 (November 27, 2018): 695–705. http://dx.doi.org/10.1177/0890334418812041.
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Background: Little information has been documented regarding interventions for mastitis by Australian physiotherapists. It is currently not known if physiotherapy interventions vary across Australian regions and types of healthcare facilities. Research aims: (1) To identify the interventions used by Australian physiotherapists treating mothers with mastitis and (2) to determine the variability in interventions used across regions and facilities. Methods: A retrospective observational design was used. A sample of case records of mothers with mastitis was identified ( N = 192). These case records documented physiotherapy interventions for mastitis in hospitals and private physiotherapy practices in Western Australia ( n = 77; 40.1%), Victoria ( n = 76; 39.6%), and New South Wales ( n = 39; 20.3%). An electronic data collection tool was designed to examine intervention variables. Results: The physiotherapy interventions received by mothers included therapeutic ultrasound (n=175; 91.1%), education and advice ( n = 160; 83.3%), and massage ( n = 103; 53.6%). Therapeutic ultrasound parameters varied across regions and types of healthcare facilities. Mean documented therapeutic ultrasound intensity was approximately twice as high in New South Wales and Victoria than in Western Australia. Conclusions: Regional and facility differences exist in physiotherapy interventions for mastitis in Australia. Healthcare professionals who refer to physiotherapists for mastitis should be aware that interventions received may differ across regions and facility types.
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McGreevy, Paul, Sophie Masters, Leonie Richards, Ricardo J. Soares Magalhaes, Anne Peaston, Martin Combs, Peter J. Irwin, et al. "Identification of Microchip Implantation Events for Dogs and Cats in the VetCompass Australia Database." Animals 9, no. 7 (July 5, 2019): 423. http://dx.doi.org/10.3390/ani9070423.
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In Australia, compulsory microchipping legislation requires that animals are microchipped before sale or prior to 3 months in the Australian Capital Territory, New South Wales, Queensland and Victoria, and by 6 months in Western Australia and Tasmania. Describing the implementation of microchipping in animals allows the data guardians to identify individual animals presenting to differing veterinary practices over their lifetimes, and to evaluate compliance with legislation. VetCompass Australia (VCA) collates electronic patient records from primary care veterinary practices into a database for epidemiological studies. VCA is the largest companion animal clinical data repository of its kind in Australia, and is therefore the ideal resource to analyse microchip data as a permanent unique identifier of an animal. The current study examined the free-text ‘examination record’ field in the electronic patient records of 1000 randomly selected dogs and cats in the VCA database. This field may allow identification of the date of microchip implantation, enabling comparison with other date fields in the database, such as date of birth. The study revealed that the median age at implantation for dogs presented as individual patients, rather than among litters, was 74.4 days, significantly lower than for cats (127.0 days, p = 0.003). Further exploration into reasons for later microchipping in cats may be useful in aligning common practice with legislative requirements.
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Monaghan, Timothy, Jo-Anne Manski-Nankervis, and Rachel Canaway. "Big data or big risk: general practitioner, practice nurse and practice manager attitudes to providing de-identified patient health data from electronic medical records to researchers." Australian Journal of Primary Health 26, no. 6 (2020): 466. http://dx.doi.org/10.1071/py20153.
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Research utilising de-identified patient health information extracted from electronic medical records (EMRs) from general practices has steadily grown in recent years in response to calls to increase use of health data for research and other secondary purposes in Australia. Little is known about the views of key primary care personnel on this issue, which are important, as they may influence whether practices agree to provide EMR data for research. This exploratory qualitative study investigated the attitudes and beliefs of general practitioners (GPs), practice managers (PMs) and practice nurses (PNs) around sharing de-identified EMR patient health information with researchers. Semi-structured interviews were conducted with 11 participants (6 GPs, 3 PMs and 2 PNs) recruited via purposive sampling from general practices in Victoria, Australia. Transcripts were coded and thematically analysed. Participants were generally enthusiastic about research utilising de-identified health information extracted from EMRs for altruistic reasons, including: positive effects on primary care research, clinical practice and population health outcomes. Concerns raised included patient privacy and data breaches, third-party use of extracted data and patient consent. These findings can provide guidance to researchers and policymakers in designing and implementing projects involving de-identified health information extracted from EMRs.
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Biezen, Ruby, Cassandra Roberts, Kirsty Buising, Karin Thursky, Douglas Boyle, Phyllis Lau, Malcolm Clark, and Jo-Anne Manski-Nankervis. "How do general practitioners access guidelines and utilise electronic medical records to make clinical decisions on antibiotic use? Results from an Australian qualitative study." BMJ Open 9, no. 8 (August 2019): e028329. http://dx.doi.org/10.1136/bmjopen-2018-028329.
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ObjectiveThis study aimed to explore how general practitioners (GPs) access and use both guidelines and electronic medical records (EMRs) to assist in clinical decision-making when prescribing antibiotics in Australia.DesignThis is an exploratory qualitative study with thematic analysis interpreted using the Theory of Planned Behaviour (TPB) framework.SettingThis study was conducted in general practice in Victoria, Australia.ParticipantsTwenty-six GPs from five general practices were recruited to participate in five focus groups between February and April 2018.ResultsGPs expressed that current EMR systems do not provide clinical decision support to assist with antibiotic prescribing. Access and use of guidelines were variable. GPs who had more clinical experience were less likely to access guidelines than younger and less experienced GPs. Guideline use and guideline-concordant prescribing was facilitated if there was a practice culture encouraging evidence-based practice. However, a lack of access to guidelines and perceived patients’ expectation and demand for antibiotics were barriers to guideline-concordant prescribing. Furthermore, guidelines that were easy to access and navigate, free, embedded within EMRs and fit into the clinical workflow were seen as likely to enhance guideline use.ConclusionsCurrent barriers to the use of antibiotic guidelines include GPs’ experience, patient factors, practice culture, and ease of access and cost of guidelines. To reduce inappropriate antibiotic prescribing and to promote more rational use of antibiotic in the community, guidelines should be made available, accessible and easy to use, with minimal cost to practicing GPs. Integration of evidence-based antibiotic guidelines within the EMR in the form of a clinical decision support tool could optimise guideline use and increase guideline-concordant prescribing.
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Sezgin, Gorkem, Andrew Georgiou, Rae-Anne Hardie, Ling Li, Lisa G. Pont, Tony Badrick, Guilherme S. Franco, et al. "Compliance with pathology testing guidelines in Australian general practice: protocol for a secondary analysis of electronic health record data." BMJ Open 8, no. 11 (November 2018): e024223. http://dx.doi.org/10.1136/bmjopen-2018-024223.
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IntroductionIn Australia, general practitioners usually are the first point of contact for patients with non-urgent medical conditions. Appropriate and efficient utilisation of pathology tests by general practitioners forms a key part of diagnosis and monitoring. However overutilisationand underutilisation of pathology tests have been reported across several tests and conditions, despite evidence-based guidelines outlining best practice in pathology testing. There are a limited number of studies evaluating the impact of these guidelines on pathology testing in general practice. The aim of our quantitative observational study is to define how pathology tests are used in general practice and investigate how test ordering practices align with evidence-based pathology guidelines.Methods and analysisAccess to non-identifiable patient data will be obtained through electronic health records from general practices across three primary health networks in Victoria, Australia. Numbers and characteristics of patients, general practices, encounters, pathology tests and problems managed over time will be described. Overall rates of encounters and tests, alongside more detailed investigation between subcategories (encounter year, patient’s age, gender, and location and general practice size), will also be undertaken. To evaluate how general practitioner test ordering coincides with evidence-based guidelines, five key candidate indicators will be investigated: full blood counts for patients on clozapine medication; international normalised ratio measurements for patients on warfarin medication; glycated haemoglobin testing for monitoring patients with diabetes; vitamin D testing; and thyroid function testing.Ethics and disseminationEthics clearance to collect data from general practice facilities has been obtained by the data provider from the RACGP National Research and Evaluation Ethics Committee (NREEC 17–008). Approval for the research group to use these data has been obtained from Macquarie University (5201700872). This study is funded by the Australian Government Department of Health Quality Use of Pathology Program (Agreement ID: 4-2QFVW4M). Findings will be reported to the Department of Health and disseminated in peer-reviewed academic journals and presentations (national and international conferences, industry forums).
Books on the topic "Electronic records Victoria"
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Auditor-General, Victoria Office of the. Records management in the Victorian public sector. Melbourne, Vic: Victorian Government Printer, 2008.
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Victoria. Office of the Victorian Privacy Commissioner. Mr C's case: Report of an investigation pursuant to Part 6 of the Information Privacy Act 2000 into Victoria Police and Department of Justice in relation to the security of personal information in the Law Enforcement Assistance Program (LEAP) and E* Justice databases. Melbourne: Office of the Victorian Privacy Commissioner, 2006.
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