Recommendations of the International Medical Informatics Association (IMIA) on Education in Biomedical and Health Informatics: Second Revision

BACKGROUND

The purpose of educational recommendations is to assist in establishing courses and programs in a discipline, to further develop existing educational activities in the various nations, and to support international initiatives for collaboration and sharing of courseware. The International Medical Informatics Association (IMIA) has published two versions of its international recommendations in biomedical and health informatics (BMHI) education, initially in 2000 and revised in 2010. Given the recent changes to the science, technology, the needs of the healthcare systems, and the workforce of BMHI, a revision of the recommendations is necessary.

OBJECTIVE

The aim of these updated recommendations is to support educators in developing BMHI curricula at different education levels, to identify essential skills and competencies for certification of healthcare professionals and those working in the field of BMHI, to provide a tool for evaluators of academic BMHI programs to compare and accredit the quality of delivered programs, and to motivate universities, organizations, and health authorities to recognize the need for establishing and further developing BMHI educational programs.

METHOD

An IMIA taskforce, established in 2017, updated the recommendations. The taskforce included representatives from all IMIA regions, with several having been involved in the development of the previous version. Workshops were held at different IMIA conferences, and an international Delphi study was performed to collect expert input on new and revised competencies.

RESULTS

Recommendations are provided for courses/course tracks in BMHI as part of educational programs in biomedical and health sciences, health information management, and informatics/computer science, as well as for dedicated programs in BMHI (leading to bachelor's, master's, or doctoral degree). The educational needs are described for the roles of BMHI user, BMHI generalist, and BMHI specialist across six domain areas - BMHI core principles; health sciences and services; computer, data and information sciences; social and behavioral sciences; management science; and BMHI specialization. Furthermore, recommendations are provided for dedicated educational programs in BMHI at the level of bachelor's, master's, and doctoral degrees. These are the mainstream academic programs in BMHI. In addition, recommendations for continuing education, certification, and accreditation procedures are provided.

CONCLUSION

The IMIA recommendations reflect societal changes related to globalization, digitalization, and digital transformation in general and in healthcare specifically, and center on educational needs for the healthcare workforce, computer scientists, and decision makers to acquire BMHI knowledge and skills at various levels. To support education in BMHI, IMIA offers accreditation of quality BMHI education programs. It supports information exchange on programs and courses in BMHI through its Working Group on Health and Medical Informatics Education.

Donald A.B. Lindberg, pioneer in biomedical and health informatics: His involvement in creating professional organizations

Among the many contributions of Donald A.B. Lindberg was his work on behalf of a variety or professional organizations in the field of biomedical and health informatics. These began during his early days at the University of Missouri and continued throughout his 30 years at the National Library of Medicine. This chapter summarizes that work, which occurred both through his personal efforts and through the impact of the NLM under his leadership. Examples include his role in the development of organizations themselves (e.g., the International Medical Informatics Association, the American College of Medical Informatics, and the American Medical Informatics Association) and also his contributions to the professional scientific meetings that have advanced the field (e.g., the Symposium on Computer Applications in Medical Care, MEDINFO, and the AMIA Annual Symposium).

Donald A.B. Lindberg, Pioneer in Biomedical and Health Informatics: His Involvement in Creating Professional Organizations

Among the many contributions of Donald A.B. Lindberg was his work on behalf of a variety or professional organizations in the field of biomedical and health informatics. These began during his early days at the University of Missouri and continued throughout his 30 years at the National Library of Medicine. This chapter summarizes that work, which occurred both through his personal efforts and through the impact of the NLM under his leadership. Examples include his role in the development of organizations themselves (e.g., the International Medical Informatics Association, the American College of Medical Informatics, and the American Medical Informatics Association) and also his contributions to the professional scientific meetings that have advanced the field (e.g., the Symposium on Computer Applications in Medical Care, MEDINFO, and the AMIA Annual Symposium).

Computerized Clinical Decision Support: Contributions from 2015

OBJECTIVE

To summarize recent research and select the best papers published in 2015 in the field of computerized clinical decision support for the Decision Support section of the IMIA yearbook.

METHOD

A literature review was performed by searching two bibliographic databases for papers related to clinical decision support systems (CDSSs) and computerized provider order entry (CPOE) systems. The aim was to identify a list of candidate best papers from the retrieved papers that were then peer-reviewed by external reviewers. A consensus meeting between the two section editors and the IMIA editorial team was finally conducted to conclude in the best paper selection.

RESULTS

Among the 974 retrieved papers, the entire review process resulted in the selection of four best papers. One paper reports on a CDSS routinely applied in pediatrics for more than 10 years, relying on adaptations of the Arden Syntax. Another paper assessed the acceptability and feasibility of an important CPOE evaluation tool in hospitals outside the US where it was developed. The third paper is a systematic, qualitative review, concerning usability flaws of medication-related alerting functions, providing an important evidence-based, methodological contribution in the domain of CDSS design and development in general. Lastly, the fourth paper describes a study quantifying the effect of a complex, continuous-care, guideline-based CDSS on the correctness and completeness of clinicians' decisions.

CONCLUSIONS

While there are notable examples of routinely used decision support systems, this 2015 review on CDSSs and CPOE systems still shows that, despite methodological contributions, theoretical frameworks, and prototype developments, these technologies are not yet widely spread (at least with their full functionalities) in routine clinical practice. Further research, testing, evaluation, and training are still needed for these tools to be adopted in clinical practice and, ultimately, illustrate the benefits that they promise.

Some Innovative Approaches for Public Health and Epidemiology Informatics

OBJECTIVES

Summarize excellent current research published in 2015 in the field of Public Health and Epidemiology Informatics.

METHODS

The complete 2015 literature concerning public health and epidemiology informatics has been searched in PubMed and Web of Science, and the returned references were reviewed by the two section editors to select 14 candidate best papers. These papers were then peer-reviewed by external reviewers to allow the editorial team an enlightened selection of the best papers.

RESULTS

Among the 1,272 references retrieved from PubMed and Web of Science, three were finally selected as best papers. The first one presents a language agnostic approach for epidemic event detection in news articles. The second paper describes a system using big health data gathered by a statewide system to forecast emergency department visits. The last paper proposes a rather original approach that uses machine learning to solve the old issue of outbreak detection and prediction.

CONCLUSIONS

The increasing availability of data, now directly from health systems, will probably lead to a boom in public health surveillance systems and in large-scale epidemiologic studies.

Unintended Consequences: New Problems, New Solutions. Contributions From 2015

OBJECTIVE

To select the best of the 2015 published papers on unintended consequences of healthcare information technology (HIT).

METHOD

Literature searches in several areas of scholarship, including IT, human factors, evaluation studies, medical errors, medical informatics, and implementation science. Also, because the specific terms "unintended consequences" were not often included in abstracts and titles, a more nuanced search algorithm was developed.

RESULTS

We identified 754 papers that had some empirical research on unintended consequences of HIT. An initial screen of titles and abstracts reduced this to 171 papers of potential interest. We then further filtered out papers that did not meet the following criteria: 1) the paper had to report an original empirical investigation, and 2) the impact reported had to be not negligible, i.e., in quantitative studies, the results related to unintended consequences were statistically significant; and in qualitative studies the relevant themes emerged were prominent. This resulted in 33 papers of which 15 were selected as best paper candidates. Each of these 15 papers was then separately evaluated by four reviewers. The final selection of four papers was made jointly by the external reviewers and the two section editors.

CONCLUSIONS

There is a growing awareness of the importance of HIT's unintended consequences-be they generated by the HIT vendors, the implementation process, the consultants, the users, or most probably, some combination of the above. There has also been greater creativity in use of data sources, including secondary data (e.g., medical malpractice cases and surveys) and a wider acceptance of mixed methods to identify unintended consequences. Unfortunately, the complexity of causes mitigates the value of recommendations to avoid unwanted outcomes. Suggestions are often contentious rather than obvious, setting-specific, and not universally applicable. "Lessons learned" often take on generalized-and perhaps platitudinous-forms, such as: "plan extra time," "involve all of the stakeholders," "recognize the different needs of different units or disciplines." The greater awareness of these problems, and the increased desire to identify and eliminate them is clearly reflected in the area's growing literature. We are hopeful the topic will receive additional attention and the discipline will improve its ability to identify and address these unexpected and usually adverse outcomes.

New Problems - New Solutions: A Never Ending Story. Findings from the Clinical Information Systems Perspective for 2015

OBJECTIVE

To summarize recent research and to propose a selection of best papers published in 2015 in the field of Clinical Information Systems (CIS).

METHOD

The query which had been used last year to retrieve articles for the CIS section of the IMIA Yearbook of Medical Informatics 2015 was refined. It again aimed at identifying relevant publications in the field of CIS and comprised search terms from the Medical Subject Headings (MeSH) catalog as well as additional free text search terms from PubMed and Web of Science. The retrieved articles were categorized in a multi-pass review carried out separately by the two section editors. The final selection of 15 candidate papers was then peer-reviewed by Yearbook editors and external reviewers. Based on the review results the four best papers were then selected at the best papers selection meeting with the IMIA Yearbook editorial board. To get an overview on the content of the retrieved articles we applied text mining and term co-occurrence mapping techniques.

RESULTS

The query was carried out in mid-January 2016, yielding a combined result set of 1851 articles which were published in 790 different journals. The most relevant terms from abstracts and titles of these articles were assigned to six different clusters. A majority of articles dealt with two thematic blocks, problems and solutions in the CIS field. The majority of the 2016 CIS candidate papers and all four best papers could be assigned to these two thematic blocks.

CONCLUSIONS

We identified two main tracks among the CIS candidate and best papers as well as in CIS research activities in general: problems and solutions. A never ending cycle of continuous improvement.

Silver Anniversary: 25 Editions of the IMIA Yearbook

OBJECTIVES

To provide an editorial introduction into the special 25th anniversary edition of the IMIA Yearbook of Medical Informatics with discussion of the significance of the Yearbook, past and current editorial teams, and a look into the future.

METHODS

A brief overview of the 2016 anniversary edition of the Yearbook allows for a discussion of the significance and value of the Yearbook to the Biomedical Informatics community as well as a review of changes in Yearbook team and format over time.

RESULTS

The IMIA Yearbook celebrates its 25th edition bearing witness to the quality of the IMIA brand, the Yearbook content, as well as to the dedication of and the inordinate amount of labor from the authors and editors of the Yearbook. Editorial teams are to be applauded for their hard work and for their foresight in steering the Yearbook from a paperback to an open access online publication. The special edition provides reviews of past editorials with the knowledge of today.

CONCLUSIONS

The IMIA Yearbook celebrates a remarkable milestone providing a testament to the maturity of the Biomedical Informatics field. Informaticians across the world are encouraged to thank past editorial teams and celebrate with IMIA.

Findings from the Clinical Information Systems Perspective

OBJECTIVE

To summarize recent research and to propose a selection of best papers published in 2014 in the field of Clinical Information Systems (CIS).

METHOD

A query with search terms from the Medical Subject Headings (MeSH) catalog as well as additional free text search terms was designed to identify relevant publications in the field of clinical information systems from PubMed and Web of Science®. The retrieved articles were then categorized in a multi-pass review carried out separately by the section editors. The final selection of 15 candidate papers was then peerreviewed by Yearbook editors and external reviewers. Based on the review results the four best papers were then selected at the best papers selection meeting with the IMIA Yearbook editorial board.

RESULTS

The query was carried out in mid-January 2015, yielding a combined result set of 1525 articles which were published in 722 different journals. Among these articles two main thematic sections were identified: i) Interoperability from a syntactical and semantic point of view as well as from a longterm preservation and organizational/legal point of view and ii) secondary use of existing health data in all its shades. Here, patient safety was a major scope of application.

CONCLUSIONS

CIS have become mature over the last years. The focus has now moved beyond data acquisition for just supporting the local care workflows. Actual research efforts in the CIS domain comprise the breakdown of information silos, the reduction of barriers between different systems of different care providers and secondary use of accumulated health data for multiple purposes.

Computerized Clinical Decision Support: Contributions from 2014

OBJECTIVE

To summarize recent research and propose a selection of best papers published in 2014 in the field of computerized clinical decision support for the Decision Support section of the IMIA yearbook.

METHOD

A literature review was performed by searching two bibliographic databases for papers related to clinical decision support systems (CDSSs) and computerized provider order entry systems in order to select a list of candidate best papers to be then peer-reviewed by external reviewers. A consensus meeting between the two section editors and the editorial team was finally organized to conclude on the selection of best papers.

RESULTS

Among the 1,254 returned papers published in 2014, the full review process selected four best papers. The first one is an experimental contribution to a better understanding of unintended uses of CDSSs. The second paper describes the effective use of previously collected data to tailor and adapt a CDSS. The third paper presents an innovative application that uses pharmacogenomic information to support personalized medicine. The fourth paper reports on the long-term effect of the routine use of a CDSS for antibiotic therapy.

CONCLUSIONS

As health information technologies spread more and more meaningfully, CDSSs are improving to answer users' needs more accurately. The exploitation of previously collected data and the use of genomic data for decision support has started to materialize. However, more work is still needed to address issues related to the correct usage of such technologies, and to assess their effective impact in the long term.

From Dyadic Ties to Information Infrastructures: Care-Coordination between Patients, Providers, Students and Researchers. Contribution of the Health Informatics Education Working Group

OBJECTIVE

To share how an effectual merging of local and online networks in low resource regions can supplement and strengthen the local practice of patient centered care through the use of an online digital infrastructure powered by all stakeholders in healthcare. User Driven Health Care offers the dynamic integration of patient values and evidence based solutions for improved medical communication in medical care.

INTRODUCTION

This paper conceptualizes patient care-coordination through the lens of engaged stakeholders using digital infrastructures tools to integrate information technology. We distinguish this lens from the prevalent conceptualization of dyadic ties between clinician-patient, patient-nurse, clinician-nurse, and offer the holistic integration of all stakeholder inputs, in the clinic and augmented by online communication in a multi-national setting.

METHODS

We analyze an instance of the user-driven health care (UDHC), a network of providers, patients, students and researchers working together to help manage patient care. The network currently focuses on patients from LMICs, but the provider network is global in reach. We describe UDHC and its opportunities and challenges in care-coordination to reduce costs, bring equity, and improve care quality and share evidence.

CONCLUSION

UDHC has resulted in coordinated global based local care, affecting multiple facets of medical practice. Shared information resources between providers with disparate knowledge, results in better understanding by patients, unique and challenging cases for students, innovative community based research and discovery learning for all.

Big data and smart health strategies: findings from the health information systems perspective

OBJECTIVES

To summarize excellent current research in the field of Health Information Systems.

METHOD

Creation of a synopsis of the articles selected for the 2014 edition of the IMIA Yearbook.

RESULTS

Four papers from international peer reviewed journals were selected and are summarized.

CONCLUSIONS

Selected articles illustrate current research regarding the impact and the evaluation of health information technology and the latest developments in health information exchange.

A 2014 medical informatics perspective on clinical decision support systems: do we hit the ceiling of effectiveness?

OBJECTIVE

To summarize recent research and propose a selection of best papers published in 2013 in the field of computer-based decision support in health care.

METHOD

Two literature reviews were performed by the two section editors from bibliographic databases with a focus on clinical decision support systems (CDSSs) and computer provider order entry in order to select a list of candidate best papers to be peer-reviewed by external reviewers.

RESULTS

The full review process highlighted three papers, illustrating current trends in the domain of clinical decision support. The first trend is the development of theoretical approaches for CDSSs, and is exemplified by a paper proposing the integration of family histories and pedigrees in a CDSS. The second trend is illustrated by well-designed CDSSs, showing good theoretical performances and acceptance, while failing to show a clinical impact. An example is given with a paper reporting on scorecards aiming to reduce adverse drug events. The third trend is represented by research works that try to understand the limits of CDSS use, for instance by analyzing interactions between general practitioners, patients, and a CDSS.

CONCLUSIONS

CDSSs can achieve good theoretical results in terms of sensibility and specificity, as well as a good acceptance, but evaluations often fail to demonstrate a clinical impact. Future research is needed to better understand the causes of this observation and imagine new effective solutions for CDSS implementation.

Information technology for clinical, translational and comparative effectiveness research. Findings from the section clinical research informatics

OBJECTIVE

To select and summarize key contributions to current research in the field of Clinical Research Informatics (CRI).

METHOD

A bibliographic search using a combination of MeSH and free terms search over PubMed was performed followed by a blinded review.

RESULTS

The review process resulted in the selection of four papers illustrating various aspects of current research efforts in the area of CRI. The first paper tackles the challenge of extracting accurate phenotypes from Electronic Healthcare Records (EHRs). Privacy protection within shared de-identified, patient-level research databases is the focus of the second selected paper. Two other papers exemplify the growing role of formal representation of clinical data - in metadata repositories - and knowledge - in ontologies - for supporting the process of reusing data for clinical research.

CONCLUSIONS

The selected articles demonstrate how concrete platforms are currently achieving interoperability across clinical research and care domains and have reached the evaluation phase. When EHRs linked to genetic data have the potential to shift the research focus from research driven patient recruitment to phenotyping in large population, a key issue is to lower patient re-identification risks for biomedical research databases. Current research illustrates the potential of knowledge engineering to support, in the coming years, the scientific lifecycle of clinical research.

IMIA Accreditation of Health Informatics Programs

OBJECTIVES

Health informatics programs usually are evaluated by national accreditation committees. Not always are the members of these committees well informed about the international level of (education in) health informatics. Therefore, when a program is accredited by a national accreditation committee, this does not always mean that the program is of an international level. The International Medical Informatics Association (IMIA) has expertise in the field of education. The IMIA Recommendations on Education in Biomedical and Health Informatics guide curricula development. The goal of this article is to show that IMIA can also play the role of accreditation agency and to present the IMIA accreditation protocol and experiences obtained with it.

METHODS

The accreditation procedure used in the Netherlands and Belgium was taken as a template for the design of the IMIA accreditation protocol. In a trial period of one and a half year the protocol is tested out on six health informatics programs.

RESULTS

An accreditation protocol was designed. For judging the curriculum of a program the IMIA Recommendations are used. The institution has to write a self-assessment report and a site visit committee visits the program and judges its quality, supported by the self-assessment report and discussions with all stakeholders of the program.

CONCLUSIONS

After having visited three programs it appears that the IMIA accreditation procedure works well. Only a few changes had to be introduced. Writing the self-assessment report already appears to be beneficial for the management of the program to obtain a better insight in the quality of their program.