Literature DB >> 26196349

Evidence-based Health Informatics: How Do We Know What We Know?

E Ammenwerth1.   

Abstract

BACKGROUND: Health IT is expected to have a positive impact on the quality and efficiency of health care. But reports on negative impact and patient harm continue to emerge. The obligation of health informatics is to make sure that health IT solutions provide as much benefit with as few negative side effects as possible. To achieve this, health informatics as a discipline must be able to learn, both from its successes as well as from its failures.
OBJECTIVES: To present motivation, vision, and history of evidence-based health informatics, and to discuss achievements, challenges, and needs for action.
METHODS: Reflections on scientific literature and on own experiences.
RESULTS: Eight challenges on the way towards evidence-based health informatics are identified and discussed: quality of studies; publication bias; reporting quality; availability of publications; systematic reviews and meta-analysis; training of health IT evaluation experts; translation of evidence into health practice; and post-market surveillance. Identified needs for action comprise: establish health IT study registers; increase the quality of publications; develop a taxonomy for health IT systems; improve indexing of published health IT evaluation papers; move from meta-analysis to meta-summaries; include health IT evaluation competencies in curricula; develop evidence-based implementation frameworks; and establish post-marketing surveillance for health IT.
CONCLUSIONS: There has been some progress, but evidence-based health informatics is still in its infancy. Building evidence in health informatics is our obligation if we consider medical informatics a scientific discipline.

Entities:  

Keywords:  Medical informatics; evaluation studies; evidence-based medicine; information science; meta-analysis; publication bias; qualitative research; review literature

Mesh:

Year:  2015        PMID: 26196349     DOI: 10.3414/ME14-01-0119

Source DB:  PubMed          Journal:  Methods Inf Med        ISSN: 0026-1270            Impact factor:   2.176


  9 in total

Review 1.  Clinical Information Systems - From Yesterday to Tomorrow.

Authors:  R M Gardner
Journal:  Yearb Med Inform       Date:  2016-06-30

2.  Human Factors and Organizational Issues in 2015: The Increasing Complexity of the Healthcare Domain Calls for More Comprehensive Approaches.

Authors:  S Pelayo; R Santos
Journal:  Yearb Med Inform       Date:  2016-11-10

3.  Health-Enabling and Ambient Assistive Technologies: Past, Present, Future.

Authors:  R Haux; S Koch; N H Lovell; M Marschollek; N Nakashima; K-H Wolf
Journal:  Yearb Med Inform       Date:  2016-06-30

Review 4.  Are We There Yet? Human Factors Knowledge and Health Information Technology - the Challenges of Implementation and Impact.

Authors:  P Turner; A Kushniruk; C Nohr
Journal:  Yearb Med Inform       Date:  2017-09-11

Review 5.  The impact of digital interventions on antimicrobial stewardship in hospitals: a qualitative synthesis of systematic reviews.

Authors:  Bethany A Van Dort; Jonathan Penm; Angus Ritchie; Melissa T Baysari
Journal:  J Antimicrob Chemother       Date:  2022-06-29       Impact factor: 5.758

6.  Effects of Electronic Health Record Implementation and Barriers to Adoption and Use: A Scoping Review and Qualitative Analysis of the Content.

Authors:  Chen Hsi Tsai; Aboozar Eghdam; Nadia Davoody; Graham Wright; Stephen Flowerday; Sabine Koch
Journal:  Life (Basel)       Date:  2020-12-04

7.  Measuring the Interactions Between Health Demand, Informatics Supply, and Technological Applications in Digital Medical Innovation for China: Content Mapping and Analysis.

Authors:  Jian Du; Ting Chen; Luxia Zhang
Journal:  JMIR Med Inform       Date:  2021-07-06

8.  Standards as applied in reality: a case study on the translation of standards in eHealth evaluation practice.

Authors:  Monika Jurkeviciute
Journal:  BMC Med Inform Decis Mak       Date:  2019-11-29       Impact factor: 2.796

9.  Exploring the Use of Evidence From the Development and Evaluation of an Electronic Health (eHealth) Trial: Case Study.

Authors:  Monika Jurkeviciute; Henrik Eriksson
Journal:  J Med Internet Res       Date:  2020-08-28       Impact factor: 5.428

  9 in total

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