Relevant bibliographies by topics / Health informatics and information systems

Academic literature on the topic 'Health informatics and information systems'

Author: Grafiati
Published: 10 December 2022
Last updated: 19 February 2023

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Journal articles on the topic "Health informatics and information systems"

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Wiese, William H. "Public Health Informatics and Information Systems." American Journal of Preventive Medicine 25, no. 1 (July 2003): 78. http://dx.doi.org/10.1016/s0749-3797(03)00088-6.

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Haux, Reinhold. "Health Information Systems – from Present to Future?" Methods of Information in Medicine 57, S 01 (July 2018): e43-e45. http://dx.doi.org/10.3414/me18-03-0004.

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SummaryThis article is part of the Focus Theme of Methods of Information in Medicine on the German Medical Informatics Initiative. Funded by the German Federal Ministry of Education and Research with about 150 million Euro in its currently starting development and networking phase this initiative has already a significant impact on the development of health information systems in Germany. In this Focus Theme two editorials introduce this initiative, one from the viewpoint of its funding institution and one from the initiative’s accompanying institutions. Then the initiative’s four consortia DIFUTURE (Data Integration for Future Medicine), HiGHmed (Heidelberg-Göttingen-Hannover Medical Informatics), MIRACUM (Medical Informatics in Research and Care in University Medicine), and SMITH (Smart Medical Information Technology for Healthcare) present their concepts and plans. For better readability their manuscripts all contain three major sections on governance and policies, on architectural framework and methodology, and on use cases. As the German Medical Informatics Initiative is a large national experiment, we are convinced that communicating on this initiative already at this early stage to an international audience is of importance.
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Niland, J. C., L. Rouse, and D. C. Stahl. "An Informatics Blueprint for Healthcare Quality Information Systems." Journal of the American Medical Informatics Association 13, no. 4 (July 1, 2006): 402–17. http://dx.doi.org/10.1197/jamia.m2050.

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Maojo, V., G. Lopez-Campos, and F. Martin-Sanchez. "Integrating Genomics into Health Information Systems." Methods of Information in Medicine 41, no. 01 (2002): 25–30. http://dx.doi.org/10.1055/s-0038-1634309.

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Summary Objective: To outline the main issues related to the impact of the data generated by the Human Genome Project on health information systems. A major challenge for medical informatics is identified, consisting of adapting traditional systems to new genetic-based diagnostic and therapeutic tools. Methods: Reviewing and analysing the different health information levels from an organisational complexity point of view. A model is proposed to explain the interactions between health informatics, bioinformatics and molecular medicine. Results: We suggest a new framework that integrates genetic data into health information systems. Using this model, new topics for future research and development are identified. Conclusions: We are witnessing the birth of a new era (post-genomics). In this era technological advancements in genomics offer new opportunities for clinical applications. Medical informaticians should play an important role in this new endeavour.
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Shaw, Nicola, and Suzanne McGuire. "Understanding the use of geographical information systems (GIS) in health informatics research: A review." Journal of Innovation in Health Informatics 24, no. 2 (June 23, 2017): 228. http://dx.doi.org/10.14236/jhi.v24i2.940.

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Background: The purpose of this literature review is to understand geographical information systems (GIS) and how they can be applied to public health informatics, medical informatics, and epidemiology.Method: Relevant papers that reflected the use of geographical information systems (GIS) in health research were identified from four academic databases: Academic Search Complete, BioMed Central, PubMed Central, and Scholars Portal, as well as Google Scholar. The search strategy used was to identify articles with “geographic information systems”, “GIS”, “public health”, “medical informatics”, “epidemiology”, and “health geography” as main subject headings or text words in titles and abstracts. Papers published between 1997 and 2014 were considered and a total of 39 articles were included to inform the authors on the use of GIS technologies in health informatics research.Results: The main applications of GIS in health informatics and epidemiology include disease surveillance, health risk analysis, health access and planning, and community health profiling. GIS technologies can significantly improve quality and efficiency in health research as substantial connections can be made between a population’s health and their geographical location.Conclusions: Gains in health informatics can be made when GIS are applied through research, however, improvements need to occur in the quantity and quality of data input for these systems to ensure better geographical health maps are used so that proper conclusions between public health and environmental factors may be made.
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Ammenwerth, E., A. Häber, G. Hübner-Bloder, P. Knaup-Gregori, G. Lechleitner, F. Leiner, R. Weber, A. Winter, A. C. Wolff, and R. Haux. "Medical Informatics Education Needs Information System Practicums in Health Care Settings." Methods of Information in Medicine 45, no. 03 (2006): 294–99. http://dx.doi.org/10.1055/s-0038-1634073.

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Summary Objectives: To report about the themes and about experiences with practicums in the management of information systems in health care settings (health information management) for medical informatics students. Methods: We first summarize the topics of the health information management practicums/projects that the authors organized between 1990 and 2003 for the medical informatics programs at Heidelberg/ Heilbronn, Germany, UMIT, Austria, as well as for the informatics program at the University of Leipzig, Germany. Experiences and lessons learned, obtained from the faculty that organized the practicums in the past 14 years, are reported. Results: Thirty (of 32) health information management practicums focused on the analysis of health information systems. These took place inside university medical centers. Although the practicums were time-intensive and required intensively tutoring students with regard to health information management and project management, feedback from the students and graduates was mainly positive. Discussion: It is clearly recommended that students specializing in medical informatics need to be confronted with real-world problems of health information systems during their studies.
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Carney, Timothy Jay, and Christopher Michael Shea. "Informatics Metrics and Measures for a Smart Public Health Systems Approach: Information Science Perspective." Computational and Mathematical Methods in Medicine 2017 (2017): 1–12. http://dx.doi.org/10.1155/2017/1452415.

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Public health informatics is an evolving domain in which practices constantly change to meet the demands of a highly complex public health and healthcare delivery system. Given the emergence of various concepts, such as learning health systems, smart health systems, and adaptive complex health systems, health informatics professionals would benefit from a common set of measures and capabilities to inform our modeling, measuring, and managing of health system “smartness.” Here, we introduce the concepts of organizational complexity, problem/issue complexity, and situational awareness as three codependent drivers of smart public health systems characteristics. We also propose seven smart public health systems measures and capabilities that are important in a public health informatics professional’s toolkit.
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Lee, Robert, James Hitt, Geoffrey G. Hobika, and Nader D. Nader. "The Case for the Anesthesiologist-Informaticist." JMIR Perioperative Medicine 5, no. 1 (February 28, 2022): e32738. http://dx.doi.org/10.2196/32738.

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Health care has been transformed by computerization, and the use of electronic health record systems has become widespread. Anesthesia information management systems are commonly used in the operating room to maintain records of anesthetic care delivery. The perioperative environment and the practice of anesthesia generate a large volume of data that may be reused to support clinical decision-making, research, and process improvement. Anesthesiologists trained in clinical informatics, referred to as informaticists or informaticians, may help implement and optimize anesthesia information management systems. They may also participate in clinical research, management of information systems, and quality improvement in the operating room or throughout a health care system. Here, we describe the specialty of clinical informatics, how anesthesiologists may obtain training in clinical informatics, and the considerations particular to the subspecialty of anesthesia informatics. Management of perioperative information systems, implementation of computerized clinical decision support systems in the perioperative environment, the role of virtual visits and remote monitoring, perioperative informatics research, perioperative process improvement, leadership, and change management are described from the perspective of the anesthesiologist-informaticist.
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Williams, F., A. Oke, and I. Zachary. "Public health delivery in the information age: the role of informatics and technology." Perspectives in Public Health 139, no. 5 (February 13, 2019): 236–54. http://dx.doi.org/10.1177/1757913918802308.

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Aim: Public health systems have embraced health informatics and information technology as a potential transformational tool to improve real-time surveillance systems, communication, and sharing of information among various agencies. Global pandemic outbreaks like Zika and Ebola were quickly controlled due to electronic surveillance systems enabling efficient information access and exchange. However, there is the need for a more robust technology to enhance adequate epidemic forecasting, data sharing, and effective communication. The purpose of this review was to examine the use of informatics and information technology tools and its impact on public health delivery. Method: Investigators searched six electronic databases. These were MEDLINE, Cumulative Index to Nursing and Allied Health Literature (CINAHL) Complete, Cochrane Database of Systematic Reviews, COMPENDEX, Scopus, and Academic Search Premier from January 2000 to 31 March 2016. Results: A total of 60 articles met the eligibility criteria for inclusion. These studies were organized into three areas as (1) definition of the term public health informatics; (2) type of public health surveillance systems and implications for public health; and (3) electronic surveillance systems functionality, capability, training, and challenges. Our analysis revealed that due to the growing expectations to provide real-time response and population-centered evidence-based public health in this information-driven age there has been a surge in informatics and information technology adoption. Education and training programs are now available to equip public health students and professionals with skills in public health informatics. However, obstacles including interoperability, data standardization, privacy, and technology transfer persist. Conclusion: Re-engineering the delivery of public health is necessary to meet the demands of the 21st century and beyond. To meet this expectation, public health must invest in workforce development and capacity through education and training in informatics.
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Kulikowski, C. A., and A. Geissbuhler. "Personal Health Informatics. Editorial." Yearbook of Medical Informatics 21, no. 01 (August 2012): 2–3. http://dx.doi.org/10.1055/s-0038-1639422.

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SummaryTo provide an editorial introduction to the 2012 IMIA Yearbook of Medical Informatics with an overview of its contents and contributors.A brief overview of the main theme, and an outline of the purposes, contents, format, and acknowledgment of contributions for the 2012 IMIA Yearbook.This 2012 issue of the IMIA Yearbook highlights important developments in personal health informatics, impacting the activities in research, education and practice in this interdisciplinary field.There has been steady progress towards introducing individualization or personalization into informatics systems by taking advantage of the increasing amounts of personal information that is relevant to medical decisions and application in clinical practice. At the same time, there are serious issues about the limits of existing systems being able to effectively personalize information within both practical and ethical constraints so critical to the practice of medicine. Recent literature bearing on these questions includes the selected papers published during the past 12 months, and articles reported by IMIA Working Groups on these topics.Surveys of the main research sub-fields in biomedical informatics in the Yearbook provide an overview of progress and current challenges across the spectrum of the discipline, focusing on the challenges and opportunities involved in personal health informatics.
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Dissertations / Theses on the topic "Health informatics and information systems"

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Karlsson, Johan. "Information structures and workflows in health care informatics." Doctoral thesis, Umeå universitet, Institutionen för datavetenskap, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-33829.

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Patient data in health care have traditionally been used to support direct patient care. Although there is great potential in combining such data with genetic information from patients to improve diagnosis and therapy decisions (i.e. personalized medicine) and in secondary uses such as data mining, this is complex to realize due to technical, commercial and legal issues related with combining and refining patient data. Clinical decision support systems (CDSS) are great catalysts for enabling evidence-based medicine in clinical practice. Although patient data can be the base for CDSS logic, it is often scattered among heterogenous data sources (even in different health care centers). Data integration and subsequent data mining must consider codification of patient data with terminology systems in addition to legal and ethical aspects of using such data. Although computerization of the patient record systems has been underway for a long time, some data is still unstructured. Investigation regarding the feasibility of using electronic patient records (EPR) as data sources for data mining is therefore important. Association rules can be used as a base for CDSS development. Logic representation affect the usability of the systems and the possibility of providing explanations of the generated advice. Several properties of these rules are relatively easy to explain (such as support and confidence), which in itself can improve end-user confidence in advice from CDSS. Information from information sources other than the EPR can also be important for diagnosis and/or treatment decisions. Drug prescription is a process that is particularly dependent on reliable information regarding, among other things, drug-drug interactions which can have serious effects. CDSS and other information systems are not useful unless they are available at the time and location of patient care. This motivates using mobile devices for CDSS. Information structures of interactions affect representation in informatics systems. These structures can be represented using a category theory based implementation of rough sets (rough monads). Development of guidelines and CDSS can be based on existing guidelines with connections to external information systems that validate advice given the particular patient situation (for example, previously prescribed drugs may interact with recommended drugs by CDSS). Rules for CDSS can also be generated directly from patient data but this assumes that such data is structured and representative. Although there is great potential in CDSS to improve the quality and efficiency of health care, these systems must be properly integrated with existing processes in health care (workflows) and with other information systems. Health care workflows manage physical resources such as patients and doctors and can help to standardize care processes and support management decisions through workflow simulation. Such simulations allow information bottle-necks or insufficient resources (equipment, personnel) to be identified. As personalized medicine using genetic information of patients become economically feasible, computational requirements increase. In this sense, distributing computations through web services and system-oriented workflows can complement human-oriented workflows. Issues related to dynamic service discovery, semantic annotations of data, service inputs/outputs affect the feasibility of system-oriented workflow construction and sharing. Additionally, sharing of system-oriented workflows increase the possibilities of peer-review and workflow re-usage.
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Ebenezer, Catherine. "Health informatics on the Web." Free Pint Ltd, 2002. http://hdl.handle.net/10150/106500.

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Rahimi, Bahol. "Implementation of Health Information Systems." Licentiate thesis, Linköping University, Linköping University, MDA - Human Computer Interfaces, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-15677.

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Healthcare organizations now consider increased efficiency, reduced costs, improved patient care and quality of services, and safety when they are planning to implement new information and communication technology (ICT) based applications. However, in spite of enormous investment in health information systems (HIS), no convincing evidence of the overall benefits of HISs yet exists. The publishing of studies that capture the effects of the implementation and use of ICT-based applications in healthcare may contribute to the emergence of an evidence-based health informatics which can be used as a platform for decisions made by policy makers, executives, and clinicians. Health informatics needs further studies identifying the factors affecting successful HIS implementation and capturing the effects of HIS implementation. The purpose of the work presented in this thesis is to increase the available knowledge about the impact of the implementation and use of HISs in healthcare organizations. All the studies included in this thesis used qualitative research methods. A case study design and literature review were performed to collect data.

This thesis’s results highlight an increasing need to share knowledge, find methods to evaluate the impact of investments, and formulate indicators for success. It makes suggestions for developing or extending evaluation methods that can be applied to this area with a multi-actor perspective in order to understand the effects, consequences, and prerequisites that have to be achieved for the successful implementation and use of IT in healthcare. The results also propose that HIS, particularly integrated computer-based patient records (ICPR), be introduced to fulfill a high number of organizational, individualbased, and socio-technical goals at different levels. It is therefore necessary to link the goals that HIS systems are to fulfill in relation to short-term, middle-term, and long-term strategic goals. Another suggestion is that implementers and vendors should direct more attention to what has been published in the area to avoid future failures.

This thesis’s findings outline an updated structure for implementation planning. When implementing HISs in hospital and primary-care environments, this thesis suggests that such strategic actions as management involvement and resource allocation, such tactical action as integrating HIS with healthcare workflow, and such operational actions as user involvement, establishing compatibility between software and hardware, and education and training should be taken into consideration.

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Hägglund, Maria. "Sharing is Caring : Integrating Health Information Systems to Support Patient-Centred Shared Homecare." Doctoral thesis, Uppsala universitet, Institutionen för medicinska vetenskaper, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-9527.

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In the light of an ageing society with shrinking economic resources, deinstitutionalization of elderly care is a general trend. As a result, homecare is increasing, and increasingly shared between different health and social care organizations. To provide a holistic overview about the patient care process, i.e. to be patient-centred, shared homecare needs to be integrated. This requires improved support for information sharing and cooperation between different actors, such as care professionals, patients and their relatives. The research objectives of this thesis are therefore to study information and communication needs for patient-centered shared homecare, to explore how integrated information and communication technology (ICT) can support information sharing, and to analyze how current standards for continuity of care and semantic interoperability meet requirements of patient-centered shared homecare. An action research approach, characterized by an iterative cycle, an emphasis on change and close collaboration with practitioners, patients and their relatives, was used. Studying one specific homecare setting closely, intersection points between involved actors and specific needs for information sharing were identified and described as shared information objects. An integration architecture making shared information objects available through integration of existing systems was designed and implemented. Mobile virtual health record (VHR) applications thereby enable a seamless flow of information between involved actors. These applications were tested and validated in the OLD@HOME-project. Moreover, the underlying information model for a shared care plan was mapped against current standards. Some important discrepancies were identified between these results and current standards for continuity of care, stressing the importance of evaluating standardized models against requirements of evolving healthcare contexts. In conclusion, this thesis gives important insights into the needs and requirements of shared homecare, enabling a shift towards patient-centered homecare through mobile access to aggregated information from current feeder systems and documentation at the point of need.
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Lin, Yu-Kai. "Health Analytics and Predictive Modeling: Four Essays on Health Informatics." Diss., The University of Arizona, 2015. http://hdl.handle.net/10150/555987.

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There is a marked trend of using information technologies to improve healthcare. Among all the health IT, electronic health record (EHR) systems hold great promises as they modernize the paradigm and practice of care provision. However, empirical studies in the literature found mixed evidence on whether EHRs improve quality of care. I posit two explanations for the mixed evidence. First, most prior studies failed to account for system use and only focused on EHR purchase or adoption. Second, most existing EHR systems provide inadequate clinical decision support and hence, fail to reveal the full potential of digital health. In this dissertation I address two broad research questions: a) Does meaningful use of EHRs improve quality of care? and b) How do we advance clinical decision making through innovative computational techniques of healthcare analytics? To these ends, the dissertation comprises four essays. The first essay examines whether meaningful use of EHRs improve quality of care through a natural experiment. I found that meaningful use significantly improve quality of care, and this effect is greater in historically disadvantaged hospitals such as small, non-teaching, or rural hospitals. These empirical findings present salient practical and policy implications about the role of health IT. On the other hand, in the other three essays I work with real-world EHR data sets and propose healthcare analytics frameworks and methods to better utilize clinical text (Essay II), integrate clinical guidelines and EHR data for risk prediction (Essay III), and develop a principled approach for multifaceted risk profiling (Essay IV). Models, frameworks, and design principles proposed in these essays advance not only health IT research, but also more broadly contribute to business analytics, design science, and predictive modeling research.
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Scandurra, Isabella. "Building Usability into Health Informatics : Development and Evaluation of Information Systems for Shared Homecare." Doctoral thesis, Uppsala : Acta universitatis Upsaliensis, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-8403.

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Ölvingson, Christina. "On development of information systems with GIS functionality in public health informatics : a requirements engineering approach /." Linköping : Univ, 2003. http://www.bibl.liu.se/liupubl/disp/disp2003/tek823s.pdf.

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Crain, Steven P. "Personalized search and recommendation for health information resources." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/45805.

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Consumers face several challenges using the Internet to fill health-related needs. (1) In many cases, they face a language gap as they look for information that is written in unfamiliar technical language. (2) Medical information in social media is of variable quality and may be appealing even when it is dangerous. (3) Discussion groups provide valuable social support for necessary lifestyle changes, but are variable in their levels of activity. (4) Finding less popular groups is tedious. We present solutions to these challenges. We use a novel adaptation of topic models to address the language gap. Conventional topic models discover a set of unrelated topics that together explain the combinations of words in a collection of documents. We add additional structure that provides relationships between topics corresponding to relationships between consumer and technical medical topics. This allows us to support search for technical information using informal consumer medical questions. We also analyze social media related to eating disorders. A third of these videos promote eating disorders and consumers are twice as engaged by these dangerous videos. We study the interactions of two communities in a photo-sharing site. There, a community that encourages recovery from eating disorders interacts with the pro-eating disorder community in an attempt to persuade them, but we found that this attempt entrenches the pro-eating disorder community more firmly in its position. We study the process by which consumers participate in discussion groups in an online diabetes community. We develop novel event history analysis techniques to identify the characteristics of groups in a diabetes community that are correlated with consumer activity. This analysis reveals that uniformly advertise the popular groups to all consumers impairs the diversity of the groups and limits their value to the community. To help consumers find interesting discussion groups, we develop a system for personalized recommendation for social connections. We extend matrix factorization techniques that are effective for product recommendation so that they become suitable for implicit power-law-distributed social ratings. We identify the best approaches for recommendation of a variety of social connections involving consumers, discussion groups and discussions.
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Houston, Andrea Lynn 1954. "Knowledge integration for medical informatics: An experiment on a cancer information system." Diss., The University of Arizona, 1998. http://hdl.handle.net/10150/288868.

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This research investigated the question of whether automatic or system-generated information classification methods can help humans better manage information. A series of four experiments were conducted; they investigated the usability (i.e., usefulness) of two automatic approaches to information classification, the concept space approach and a Kohonen-based SOM approach in the context of information retrieval. The concept space approach was evaluated in three different domains: Electronic Brainstorming (EBS) sessions, the Internet, and medical literature (the CancerLit collection). The Kohonen-based SOM approach was evaluated in the Internet and medical literature (CancerLit) domains only. In each case, the approach under investigation was compared with existing systems in order to demonstrate performance viability. The basic premise that information management, in particular information retrieval, can be successfully supported by system-based information classification techniques and that humans would find such techniques viable and useful was supported by the experiments. The concept space approach was more successful than the Kohonen-based SOM approach. After modifications to the algorithms based on user feedback from the EBS experiments had been made, users found the concept space approach results to be comparable (in the Internet study) or superior (in the CancerLit study) to existing information classification systems. The key future enhancement will be incorporation of better ways to identify document descriptors through syntactic and semantic front-end processing. The Kohonen-based SOM approach was considered difficult to use in all but one specialized case (the dynamic SOM created as part of the CancerLit prototype). This can probably be attributed to the fact that its associative organization does not match with the standard mental models (hierarchical and alphabetic) for information classification.
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Eivazzadeh, Shahryar. "Health Information Systems Evaluation." Licentiate thesis, Karlskrona, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-10910.

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Background Health information systems have emerged as a major component in our response to the trends of rising demands in health care. The insight being gained from the evaluation of those systems can critically influence the shaping of the response. Summative or formative evaluation of health information systems assesses their quality, acceptance, and usefulness, creates insight for improvement, discriminates between options, and refines future development strategies. But the evaluation of health information systems can be challenging due to the propagation of their impacts through multiple socio-technological layers till the ultimate recipients, their heterogeneity and fast evolvement, and the complexity of health care settings and systems. Aim This thesis tries to explain the challenges of evaluation of health information systems with a narrow down on determining evaluation aspects and to propose relevant solutions. The thesis goes for solutions that mitigate heterogeneity and incomparability, recruit or extend available evaluation models, embrace a wide context of application, and promote automation. Method The literature on health information systems evaluation, methods of dealing with heterogeneity in other disciplines of information systems, and ontology engineering were surveyed. Based on the literature survey, the UVON method, based on ontology engineering, was first developed in study 1. The method was applied in FI-STAR, a European Union project in e-Health with 7 use-cases, for summative evaluation of the individual and whole e-health applications. Study 2, extended the UVON method for a formative evaluation during the design phase. Results Application of the UVON method resulted in evaluation aspects that were delivered to the seven use-cases of the FI-STAR project in the form of questionnaires. The resulted evaluation aspects were considered sensible and with a confirming overlap with another highly used method in this field (MAST). No significant negative feedback from the FI-STAR use-case owners (n=7) or the respondents (n=87 patients and n=30 health professionals) was received or observed. Conclusion In the evaluation of health information systems --possibly also in other similarly characterized systems-- ontology engineering methods, such as the proposed UVON method, can be applied to create a flexible degree of unification across a heterogeneous set of evaluation aspects, import evaluation aspects from other evaluation methods, and prioritize between quality aspects in design phase. Ontologies, through their semantic network structures, can capture the extracted knowledge required for evaluation, facilitate computation of that knowledge, promote automation of evaluation, and accommodate further extensions of the related evaluation methods by adding new features to their network structure.
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Books on the topic "Health informatics and information systems"

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W, O'Carroll Patrick, ed. Public health informatics and information systems. New York: Springer, 2003.

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Magnuson, J. A., and Brian E. Dixon, eds. Public Health Informatics and Information Systems. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-41215-9.

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Magnuson, J. A., and Paul C. Fu,, eds. Public Health Informatics and Information Systems. London: Springer London, 2014. http://dx.doi.org/10.1007/978-1-4471-4237-9.

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O’Carroll, Patrick W., Laura H. Ripp, William A. Yasnoff, M. Elizabeth Ward, and Ernest L. Martin, eds. Public Health Informatics and Information Systems. New York, NY: Springer New York, 2003. http://dx.doi.org/10.1007/b98877.

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H, Tan Joseph K., ed. Healthcare information systems & informatics: Research and practices. Hershey PA: Medical Information Science Reference, 2008.

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Health informatics: A systems perspective. Chicago, Ill: Health Administration Press, 2012.

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Association, International Medical Informatics, ed. Health informatics and the Internet. [Rotterdam, The Netherlands]: International Medical Informatics Association, 1998.

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Barbara, Weill, ed. Information technology for the health professions. 2nd ed. Upper Saddle River, N.J: Pearson Prentice Hall, 2005.

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Hersh, William R. Information retrieval: A health and biomedical perspective. 3rd ed. New York, NY: Springer, 2009.

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Reinhold, Haux, Ammenwerth Elske, Brigl Birgit, Hellrung Nils, Jahn Franziska, and SpringerLink (Online service), eds. Health Information Systems: Architectures and Strategies. London: Springer-Verlag London Limited, 2011.

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Book chapters on the topic "Health informatics and information systems"

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Erickson, Bradley James, Ronald L. Arenson, and Robert A. Greenes. "Imaging Information Systems." In Health Informatics, 659–72. London: Springer London, 2015. http://dx.doi.org/10.1007/978-1-4471-6732-7_15.

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Harsanyi, Bennie E., David H. Wilson, Marguerite A. Daniels, Kathleen C. Allan, and John Anderson. "Healthcare Information Systems." In Health Informatics, 217–32. New York, NY: Springer New York, 1995. http://dx.doi.org/10.1007/978-1-4757-2428-8_19.

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Hanchette, Carol L. "Geographic Information Systems." In Health Informatics, 431–66. New York, NY: Springer New York, 2003. http://dx.doi.org/10.1007/0-387-22745-8_21.

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Harsanyi, Bennie E., Kathleen C. Allan, John Anderson, Carolyn R. Valo, Jeannie M. Fitzpatrick, Elizabeth A. Schofield, Susan Benjamin, and Barbara W. Simundza. "Healthcare Information Systems." In Health Informatics, 264–83. New York, NY: Springer New York, 2000. http://dx.doi.org/10.1007/978-1-4757-3252-8_20.

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Hanchette, Carol L. "Geographic Information Systems." In Health Informatics, 399–427. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-4237-9_21.

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Hanchette, Carol, and J. A. Magnuson. "Geographic Information Systems." In Health Informatics, 325–47. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-41215-9_19.

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Lumpkin, John R., and J. A. Magnuson. "History of Public Health Information Systems and Informatics." In Health Informatics, 17–29. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-41215-9_2.

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Nadkarni, Prakash M. "Clinical Research Information Systems." In Health Informatics, 171–90. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-98779-8_9.

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Mitchell, Sandra H., Michael A. Veltri, and George R. Kim. "Dispensing: Pharmacy Information Systems." In Health Informatics, 345–55. New York, NY: Springer New York, 2009. http://dx.doi.org/10.1007/978-0-387-76446-7_27.

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Collen, Morris F., and Stuart J. Nelson. "Pharmacy Information (PHARM) Systems." In Health Informatics, 611–57. London: Springer London, 2015. http://dx.doi.org/10.1007/978-1-4471-6732-7_14.

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Conference papers on the topic "Health informatics and information systems"

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"Healthcare information systems and informatics [advertisement]." In 2017 International Rural and Elderly Health Informatics Conference (IREHI). IEEE, 2017. http://dx.doi.org/10.1109/ireehi.2017.8350472.

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"Session details: Theme: Information systems: HI - Health informatics track." In the 34th ACM/SIGAPP Symposium, edited by Anu Mary Chacko and Gopakumar G. New York, New York, USA: ACM Press, 2019. http://dx.doi.org/10.1145/3297280.3329371.

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"Session details: Theme: Information systems: HI - Health informatics track." In SAC '19: The 34th ACM/SIGAPP Symposium on Applied Computing, edited by Anu Mary Chacko and Gopakumar G. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3329371.

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Chacko, Anu Mary, and Gopakumar G. "Session details: Theme: Information systems: HI - Health informatics track." In SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3462415.

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Chacko, Anu Mary, and Gopakumar G. "Session details: Theme: Information systems: HI - Health informatics track." In SAC '20: The 35th ACM/SIGAPP Symposium on Applied Computing. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3389655.

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Hassan, Noor Hafizah, Norazean Maarop, Zuraini Ismail, and Wardah Zainal Abidin. "Information security culture in health informatics environment: A qualitative approach." In 2017 5th International Conference on Research and Innovation in Information Systems (ICRIIS). IEEE, 2017. http://dx.doi.org/10.1109/icriis.2017.8002450.

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Chako, Anu Mary, and Gopakumar G. "Session details: Theme: Information systems: HIBIO - health informatics and bioinformatics track." In SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3535430.

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Reis, Thoralf, Andreas Steffl, Sebastian Bruchhaus, Florian Freund, Marco X. Bornschlegl, and Matthias L. Hemmje. "A Service-based Information System for AI-supported Health Informatics." In 2022 IEEE 5th International Conference on Big Data and Artificial Intelligence (BDAI). IEEE, 2022. http://dx.doi.org/10.1109/bdai56143.2022.9862611.

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Masero, Valentin. "Health care information systems." In the 2005 ACM symposium. New York, New York, USA: ACM Press, 2005. http://dx.doi.org/10.1145/1066677.1066731.

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"Strong and Meaningful Use of Healthcare Information Systems (HIS)." In International Conference on Health Informatics. SCITEPRESS - Science and and Technology Publications, 2014. http://dx.doi.org/10.5220/0004870303810386.

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Reports on the topic "Health informatics and information systems"

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Hendrickson, David A., and Gregory W. Bayer. Environment, safety, and health information technology systems integration. Office of Scientific and Technical Information (OSTI), February 2006. http://dx.doi.org/10.2172/877731.

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Nell, James G. The nature of heterogeneity in the context of distributed health-care information systems. Gaithersburg, MD: National Institute of Standards and Technology, 2003. http://dx.doi.org/10.6028/nist.ir.7011.

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Roback, Edward. U.S. Department of Health and Human Services' automated information systems security program handbook. Gaithersburg, MD: National Institute of Standards and Technology, 1991. http://dx.doi.org/10.6028/nist.ir.4636.

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Ibrahim, Mahad, Benjamin Bellows, and Jaspal Sandhu. Defining effective voucher management information systems: A blueprint for information systems to support scalable reproductive health voucher programs, based on system evaluations with programs in Bangladesh, Cambodia, Kenya, Uganda, and Tanzania. Population Council, 2012. http://dx.doi.org/10.31899/rh4.1230.

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Gilboa, Amir. The Implementation of a National Health Information Exchange Platform in Israel. Inter-American Development Bank, May 2022. http://dx.doi.org/10.18235/0004272.

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The Health Information Exchange (HIE) is one of the main national digital health infrastructures of Israels digital health strategy, which is led by the MOH. This document narrates the case of the construction of a Health Information Exchange in Israel and the importance of not only technology but also the health systems structure and budget constraints to generate higher HIE usage rates and, therefore, better results for patients.
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Mahapatra, Prasanta, Sonalini Khetrapal, and Shyama Nagarajan. An Assessment of the Maharashtra State Health System. Asian Development Bank, March 2022. http://dx.doi.org/10.22617/wps220063-2.

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This study provides useful information and insights on strengthening the public health infrastructure of Maharashtra, the largest state economy, second most populous, and third most urbanized state in India. The COVID-19 pandemic has highlighted the importance of strong and resilient health systems for sustainable development. The national health system in India is the conglomeration of state health systems operates within the country’s federal structure. Although focusing on Maharashtra, this study presents a state health system assessment and sources of information that may also be useful to other states in India.
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Ciapponi, Agustín. Do decision support and clinical information systems improve the healthcare process and health outcomes for people living with HIV? SUPPORT, 2016. http://dx.doi.org/10.30846/161013.

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The overall number of people living with HIV has steadily increased, as HIV treatments extend life. As HIV infection is shifting mostly to a chronic disease managed primarily in the ambulatory setting, chronic disease management interventions such as decision support and clinical information systems might be useful to this population.
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Tropeano, Anne M., and William M. Pugh. Review of the Naval Health Research Center's Development of Medical Information Systems for Far-Forward Echelons of Care: 1983-1997. Fort Belvoir, VA: Defense Technical Information Center, December 1997. http://dx.doi.org/10.21236/ada381330.

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Seale, Maria, Natàlia Garcia-Reyero, R. Salter, and Alicia Ruvinsky. An epigenetic modeling approach for adaptive prognostics of engineered systems. Engineer Research and Development Center (U.S.), July 2021. http://dx.doi.org/10.21079/11681/41282.

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Prognostics and health management (PHM) frameworks are widely used in engineered systems, such as manufacturing equipment, aircraft, and vehicles, to improve reliability, maintainability, and safety. Prognostic information for impending failures and remaining useful life is essential to inform decision-making by enabling cost versus risk estimates of maintenance actions. These estimates are generally provided by physics-based or data-driven models developed on historical information. Although current models provide some predictive capabilities, the ability to represent individualized dynamic factors that affect system health is limited. To address these shortcomings, we examine the biological phenomenon of epigenetics. Epigenetics provides insight into how environmental factors affect genetic expression in an organism, providing system health information that can be useful for predictions of future state. The means by which environmental factors influence epigenetic modifications leading to observable traits can be correlated to circumstances affecting system health. In this paper, we investigate the general parallels between the biological effects of epigenetic changes on cellular DNA to the influences leading to either system degradation and compromise, or improved system health. We also review a variety of epigenetic computational models and concepts, and present a general modeling framework to support adaptive system prognostics.
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Pantoja, Tomás. What are the effects of written information about medicines for consumers? SUPPORT, 2017. http://dx.doi.org/10.30846/170109.

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Medicines are the most common intervention used in most health systems. As with any treatment, patients need sufficient information to make informed decisions about their use. Written information, such as leaflets or online information, is the most common way of providing this information.
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