Literature DB >> 27198087

The Need for Evidence in Health Informatics.

Michael Rigby1, Elske Ammenwerth2.   

Abstract

While the use of health IT applications has increased rapidly over past decades, this does not compare strongly with other business sectors. Both reluctance to invest in, and lack of demand to use IT systems may in part be due to lack of robust evidence as to proven benefits. At the same time, the health IT sector has lagged behind other health technology areas in working to, and being expected to work to, robust evidence standards showing benefit and also avoidance of harm. Exacerbating this, limited availability of evidence has perpetuated this misplaced comfort in use of aspiration and expectation rather than evidence in driving investment in health IT applications. Reference back to the core principles drawn from influential thinkers shows the essential centrality of the need for evidence of safety and effectiveness, and for its use relevantly related to context.

Mesh:

Year:  2016        PMID: 27198087

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  6 in total

1.  Evidence-Based Evaluation of eHealth Interventions: Systematic Literature Review.

Authors:  Amia Enam; Johanna Torres-Bonilla; Henrik Eriksson
Journal:  J Med Internet Res       Date:  2018-11-23       Impact factor: 5.428

2.  Development of an Evaluation Framework for Health Information Systems (DIPSA).

Authors:  Antonis Stylianides; John Mantas; Zoe Roupa; Edna N Yamasaki
Journal:  Acta Inform Med       Date:  2018-12

3.  Evaluation of the Integrated Health Information System (IHIS) in Public Hospitals in Cyprus Utilizing the DIPSA Framework.

Authors:  Antonis Stylianides; John Mantas; Stavros Pouloukas; Zoe Roupa; Edna N Yamasaki
Journal:  Acta Inform Med       Date:  2019-12

4.  Data Quality and Cost-effectiveness Analyses of Electronic and Paper-Based Interviewer-Administered Public Health Surveys: Systematic Review.

Authors:  Atinkut Alamirrew Zeleke; Tolga Naziyok; Fleur Fritz; Lara Christianson; Rainer Röhrig
Journal:  J Med Internet Res       Date:  2021-01-22       Impact factor: 5.428

5.  Improving the Usability and Safety of Digital Health Systems: The Role of Predictive Human-Computer Interaction Modeling.

Authors:  Chris Paton; Andre W Kushniruk; Elizabeth M Borycki; Mike English; Jim Warren
Journal:  J Med Internet Res       Date:  2021-05-27       Impact factor: 5.428

6.  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
  6 in total

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