scholarly journals Informatics for Health 2017: Advancing both science and practice

2017 ◽  
Vol 24 (1) ◽  
pp. 1 ◽  
Author(s):  
Philip J. Scott ◽  
Ronald Cornet ◽  
Colin McCowan ◽  
Niels Peek ◽  
Paolo Fraccaro ◽  
...  
Keyword(s):  
Big Data ◽  
Medical Informatics ◽  
Health Informatics ◽  
Data Science ◽  
Digital Health ◽  
Health It ◽  
Special Issue ◽  
Organizational Intervention ◽  
Policy Makers ◽  
Multi Level

Introduction: The Informatics for Health congress, 24-26 April 2017, in Manchester, UK, brought together the Medical Informatics Europe (MIE) conference and the Farr Institute International Conference. This special issue of the Journal of Innovation in Health Informatics contains 113 presentation abstracts and 149 poster abstracts from the congress.Discussion: The twin programmes of “Big Data” and “Digital Health” are not always joined up by coherent policy and investment priorities. Substantial global investment in health IT and data science has led to sound progress but highly variable outcomes. Society needs an approach that brings together the science and the practice of health informatics. The goal is multi-level Learning Health Systems that consume and intelligently act upon both patient data and organizational intervention outcomes.Conclusions: Informatics for Health demonstrated the art of the possible, seen in the breadth and depth of our contributions. We call upon policy makers, research funders and programme leaders to learn from this joined-up approach.

Health and Medical Informatics Education

1994 ◽  
Vol 33 (03) ◽  
pp. 246-249 ◽  
Author(s):  
R. Haux ◽  
F. J. Leven ◽  
J. R. Moehr ◽  
D. J. Protti
Keyword(s):  
Health Care ◽  
Health Information ◽  
Medical Informatics ◽  
Health Informatics ◽  
Information Science ◽  
Management Program ◽  
Science Program ◽  
Special Issue ◽  
Academic Degree ◽  
The University

Abstract:Health and medical informatics education has meanwhile gained considerable importance for medicine and for health care. Specialized programs in health/medical informatics have therefore been established within the last decades.This special issue of Methods of Information in Medicine contains papers on health and medical informatics education. It is mainly based on selected papers from the 5th Working Conference on Health/Medical Informatics Education of the International Medical Informatics Association (IMIA), which was held in September 1992 at the University of Heidelberg/Technical School Heilbronn, Germany, as part of the 20 years’ celebration of medical informatics education at Heidelberg/Heilbronn. Some papers were presented on the occasion of the 10th anniversary of the health information science program of the School of Health Information Science at the University of Victoria, British Columbia, Canada. Within this issue, programs in health/medical informatics are presented and analyzed: the medical informatics program at the University of Utah, the medical informatics program of the University of Heidelberg/School of Technology Heilbronn, the health information science program at the University of Victoria, the health informatics program at the University of Minnesota, the health informatics management program at the University of Manchester, and the health information management program at the University of Alabama. They all have in common that they are dedicated curricula in health/medical informatics which are university-based, leading to an academic degree in this field. In addition, views and recommendations for health/medical informatics education are presented. Finally, the question is discussed, whether health and medical informatics can be regarded as a separate discipline with the necessity for specialized curricula in this field.In accordance with the aims of IMIA, the intention of this special issue is to promote the further development of health and medical informatics education in order to contribute to high quality health care and medical research.

scholarly journals International Academy of Health Sciences Informatics (IAHSI): Strategy and Focus Areas, 1st Version

2020 ◽  
Vol 29 (01) ◽  
pp. 015-025
Author(s):  
Fernando Martin-Sanchez ◽  
Marion J. Ball ◽  
Michio Kimura ◽  
Paula Otero ◽  
Elaine Huesing ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Medical Informatics ◽  
Performance Indicators ◽  
Health Informatics ◽  
Digital Health ◽  
Health Sciences ◽  
Research Education ◽  
Living Nature ◽  
International Academy ◽  
And Training

Background: The International Academy of Health Sciences Informatics (IAHSI) is the Academy of the International Medical Informatics Association (IMIA). As an international forum for peers in biomedical and health informatics, the Academy shall play an important role in exchanging knowledge, providing education and training, and producing policy documents. Objectives: A major priority of the Academy’s activities in its inaugural phase was to define its strategy and focus areas in accordance with its objectives and to prioritize the Academy’s work, which can then be transferred to respective taskforces. Method: This document reflects the major outcomes of intensive discussions that occurred during 2019. It was presented at the Academy’s 3rd Plenary on August 25th, 2019, in Lyon, France. Results: Regardless of the ‘living nature’ of the strategy and focus areas document, it was concluded during the Plenary that the first version, which will be used as a base for decisions on the Academy’s future activities, should be made available to a broad audience. Three out of eight ‘Visions for IAHSI‘, presented in the IMIA Yearbook of Medical Informatics 2018, were identified as central for developing, implementing, and evaluating the Academy’s strategic directions: (1) advise governments and organizations on developing health and health sciences through informatics, (2) stimulate progress in biomedical and health informatics research, education, and practice, and (3) share and exchange knowledge. Taskforces shall be implemented to work in the following areas, which were considered as priority themes: (1) artificial intelligence in health: future collaboration of entities with natural and with artificial intelligence in health care, and (2) current landscape of standards for digital health. Conclusions: Taskforces are now being established. Besides specific key performance indicators, suggested for monitoring the work of theses taskforces, the strategy to monitor the progress of the Academy itself has to be measured by relevant and acceptable metrics.

scholarly journals Learning health systems need to bridge the ‘two cultures’ of clinical informatics and data science

2018 ◽  
Vol 25 (2) ◽  
pp. 126-131 ◽  
Author(s):  
Philip J. Scott ◽  
Rachel Dunscombe ◽  
David Evans ◽  
Mome Mukherjee ◽  
Jeremy C. Wyatt
Keyword(s):  
Big Data ◽  
System Design ◽  
Data Science ◽  
Digital Health ◽  
Evidence Base ◽  
Clinical Informatics ◽  
Two Cultures ◽  
Design And Implementation ◽  
The Two Cultures ◽  
The Uk

BackgroundUK health research policy and plans for population health management are predicated upon transformative knowledge discovery from operational ‘Big Data’. Learning health systems require not only data, but feedback loops of knowledge into changed practice. This depends on knowledge management and application, which in turn depends upon effective system design and implementation. Biomedical informatics is the interdisciplinary field at the intersection of health science, social science and information science and technology that spans this entire scope.IssuesIn the UK, the separate worlds of health data science (bioinformatics, ‘Big Data’) and effective healthcare system design and implementation (clinical informatics, ‘Digital Health’) have operated as ‘two cultures’. Much National Health Service and social care data is of very poor quality. Substantial research funding is wasted on ‘data cleansing’ or by producing very weak evidence. There is not yet a sufficiently powerful professional community or evidence base of best practice to influence the practitioner community or the digital health industry.RecommendationThe UK needs increased clinical informatics research and education capacity and capability at much greater scale and ambition to be able to meet policy expectations, address the fundamental gaps in the discipline’s evidence base and mitigate the absence of regulation. Independent evaluation of digital health interventions should be the norm, not the exception.ConclusionsPolicy makers and research funders need to acknowledge the existing gap between the ‘two cultures’ and recognise that the full social and economic benefits of digital health and data science can only be realised by accepting the interdisciplinary nature of biomedical informatics and supporting a significant expansion of clinical informatics capacity and capability.

scholarly journals Special issue on “Intelligent and fuzzy systems in data science and big data”

2020 ◽  
Vol 13 (2) ◽  
pp. 131-131
Author(s):  
Stefania Tomasiello ◽  
Feng Feng ◽  
Sotiris Kotsiantis ◽  
Alireza Khastan
Keyword(s):  
Big Data ◽  
Fuzzy Systems ◽  
Data Science ◽  
Special Issue

scholarly journals Reflections on the Yearbook from the 1990’s to the Present

2016 ◽  
Vol 25 (S 01) ◽  
pp. S10-S11
Author(s):  
J. S. Silva ◽  
M. J. Ball
Keyword(s):  
Complex Adaptive Systems ◽  
Health Informatics ◽  
Adaptive Systems ◽  
Health It ◽  
Policy Makers ◽  
Computing Paradigm ◽  
It Systems ◽  
Rapid Changes ◽  
Complex Adaptive ◽  
Century Health

SummaryThe authors highlight IMIA’s progress over the past twenty years as a key bridging organization that translates health informatics theory into practice. In contrast, they describe that electronic health record (EHR) systems built in the 20th Century are not meeting the needs of clinical users. Moreover, these EHRs are not architected to keep pace with the rapid changes in the evolving health ecosystem. They conclude that 21st Century health IT systems need to be architected into an ecosystem-wide suite of interacting complex adaptive systems that support individuals, clinicians, managers and policy-makers with the high value/high usability computing paradigm that dominates the Internet today.

scholarly journals Ethics as Methods: Doing Ethics in the Era of Big Data Research—Introduction

2018 ◽  
Vol 4 (3) ◽  
pp. 205630511878450 ◽  
Author(s):  
Annette N Markham ◽  
Katrin Tiidenberg ◽  
Andrew Herman
Keyword(s):  
Big Data ◽  
Data Science ◽  
New Materialism ◽  
Grand Narrative ◽  
Feminist Ethics ◽  
Special Issue ◽  
Data Set ◽  
Fine Grained ◽  
Sheer Size ◽  
Theoretical Paradigms

This is an introduction to the special issue of “Ethics as Methods: Doing Ethics in the Era of Big Data Research.” Building on a variety of theoretical paradigms (i.e., critical theory, [new] materialism, feminist ethics, theory of cultural techniques) and frameworks (i.e., contextual integrity, deflationary perspective, ethics of care), the Special Issue contributes specific cases and fine-grained conceptual distinctions to ongoing discussions about the ethics in data-driven research. In the second decade of the 21st century, a grand narrative is emerging that posits knowledge derived from data analytics as true, because of the objective qualities of data, their means of collection and analysis, and the sheer size of the data set. The by-product of this grand narrative is that the qualitative aspects of behavior and experience that form the data are diminished, and the human is removed from the process of analysis. This situates data science as a process of analysis performed by the tool, which obscures human decisions in the process. The scholars involved in this Special Issue problematize the assumptions and trends in big data research and point out the crisis in accountability that emerges from using such data to make societal interventions. Our collaborators offer a range of answers to the question of how to configure ethics through a methodological framework in the context of the prevalence of big data, neural networks, and automated, algorithmic governance of much of human socia(bi)lity

A Comparative Summary of Six Health/Medical Informatics Programs

1994 ◽  
Vol 33 (03) ◽  
pp. 254-257 ◽  
Author(s):  
H. Dickhaus
Keyword(s):  
Medical Informatics ◽  
Health Informatics ◽  
Special Issue

Abstract:This paper tries to compare six Health Informatics/Medical Informatics (HI/MI) programs by a number of attributes in standardized form. The different programs and their curricula were summarized at the 5th IMIA Working Conference on HI/MI Education at Heidelberg/Heilbronn. The presentation is condensed to a synoptical scheme. Most of the information used for this purpose is taken from five individual papers about the programs presented in this special issue of Methods of Information in Medicine.

scholarly journals Managing Pandemic Responses with Health Informatics – Challenges for Assessing Digital Health Technologies

2021 ◽  
Author(s):  
Farah Magrabi ◽  
Elske Ammenwerth ◽  
Catherine K. Craven ◽  
Kathrin Cresswell ◽  
Nicolet F. De Keizer ◽  
...  
Keyword(s):  
Complex Systems ◽  
Medical Informatics ◽  
Technology Assessment ◽  
Health Informatics ◽  
Working Group ◽  
Value Of Information ◽  
New Technologies ◽  
Digital Health ◽  
European Federation ◽  
Health Technologies

Objectives: To highlight the role of technology assessment in the management of the COVID-19 pandemic. Method: An overview of existing research and evaluation approaches along with expert perspectives drawn from the International Medical Informatics Association (IMIA) Working Group on Technology Assessment and Quality Development in Health Informatics and the European Federation for Medical Informatics (EFMI) Working Group for Assessment of Health Information Systems. Results: Evaluation of digital health technologies for COVID-19 should be based on their technical maturity as well as the scale of implementation. For mature technologies like telehealth whose efficacy has been previously demonstrated, pragmatic, rapid evaluation using the complex systems paradigm which accounts for multiple sociotechnical factors, might be more suitable to examine their effectiveness and emerging safety concerns in new settings. New technologies, particularly those intended for use on a large scale such as digital contract tracing, will require assessment of their usability as well as performance prior to deployment, after which evaluation should shift to using a complex systems paradigm to examine the value of information provided. The success of a digital health technology is dependent on the value of information it provides relative to the sociotechnical context of the setting where it is implemented. Conclusion: Commitment to evaluation using the evidence-based medicine and complex systems paradigms will be critical to ensuring safe and effective use of digital health technologies for COVID-19 and future pandemics. There is an inherent tension between evaluation and the imperative to urgently deploy solutions that needs to be negotiated.

scholarly journals Mapeando a dinâmica da informática médica: uma análise bibliométrica do campo científico

RECIIS ◽  
2021 ◽  
Vol 15 (4) ◽  
Author(s):  
Bruno Elias Penteado ◽  
Marcelo Fornazin ◽  
Leonardo Castro ◽  
Sandro Luis Freire
Keyword(s):  
Medical Informatics ◽  
Health Informatics ◽  
Web Of Science ◽  
Digital Health

A saúde digital é um assunto emergente em fóruns acadêmicos, nas políticas públicas e nas organizações de saúde. Supondo que a saúde digital deriva de conhecimentos da informática médica, este artigo apresenta resultados de uma pesquisa bibliométrica sobre a evolução conceitual e tecnológica do campo da informática médica nas últimas décadas, enfatizando aspectos metodológicos. O trabalho realizou bibliometria em metadados de 100 mil artigos indexados sob a categoria ‘medical informatics’ na base de dados Web of Science entre os anos de 1960 e 2020. Foram realizadas análises longitudinais com utilização dos softwares Bibliometrix e CorText em três eixos: quantidade de publicações, países dos autores e palavras-chave. Conforme a hipótese metodológica que orientou o estudo, as mudanças terminológicas verificadas ao longo do tempo oferecem uma visão aproximativa das mudanças conceituais e tecnológicas do campo de pesquisa da informática médica. Os resultados mostram que esse campo de investigação apresentou crescimento consistente ao longo das últimas seis décadas, expandindo-se para diferentes países. As mudanças terminológicas e conceituais detectadas pela análise de palavras-chave permitiram a identificação de períodos temporais definidos, associados a rótulos genéricos como ‘health informatics’, ‘e-health’. O rótulo ‘medical informatics’ é recorrente como termo mais geral a designar o campo de aplicação, em razão de sua adoção por associações científicas internacionais a partir da década de 1970. Nos últimos cincos anos, pode-se identificar a emergência do termo ‘digital health’, que possivelmente será o conceito dominante na década que se inicia. A análise de palavras-chave também indica a associação entre mudanças terminológicas e de tecnologias, o que reforça as relações entre conceitos e aplicações tecnológicas de cada período.

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