Literature DB >> 35521489

Infectious disease outbreaks: how online clinical decision support could help.

Kieran Walsh.   

Abstract

This paper describes an evaluation of how doctors might use an online clinical decision support tool to improve the care that they would provide to patients with infectious disease and what features they would expect in such a clinical decision support tool. Semistructured interviews were conducted by telephone with doctors to evaluate the utility of a clinical decision support tool in helping them to improve the care that they would provide to patients with infectious disease and to assess the features that they would value in such a tool. The doctors were primarily interested in how they could use the tool to improve care. They were short of time and so needed to be able to access the content that they needed really quickly. They expected content that was both evidence based and current, and they used a range of devices to access the content. They used desktops, laptops, mobiles and sometimes mobile apps. Doctors view the utility of clinical decision support in the management of rare infectious diseases from a number of perspectives. However, they primarily see utility in the tools as a result of their capacity to improve clinical practice in infectious diseases. © Author(s) (or their employer(s)) 2019. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  clinical decision support; infectious disease

Year:  2019        PMID: 35521489      PMCID: PMC8936897          DOI: 10.1136/bmjstel-2018-000368

Source DB:  PubMed          Journal:  BMJ Simul Technol Enhanc Learn        ISSN: 2056-6697


  5 in total

Review 1.  Ebola virus disease.

Authors:  Nicholas J Beeching; Manuel Fenech; Catherine F Houlihan
Journal:  BMJ       Date:  2014-12-10

Review 2.  Clinical decision support systems.

Authors:  Patrick Emanuel Beeler; David Westfall Bates; Balthasar Luzius Hug
Journal:  Swiss Med Wkly       Date:  2014-12-23       Impact factor: 2.193

Review 3.  Zika Virus.

Authors:  Lyle R Petersen; Denise J Jamieson; Ann M Powers; Margaret A Honein
Journal:  N Engl J Med       Date:  2016-03-30       Impact factor: 91.245

4.  What is an adequate sample size? Operationalising data saturation for theory-based interview studies.

Authors:  Jill J Francis; Marie Johnston; Clare Robertson; Liz Glidewell; Vikki Entwistle; Martin P Eccles; Jeremy M Grimshaw
Journal:  Psychol Health       Date:  2010-12

Review 5.  Providing Doctors With High-Quality Information: An Updated Evaluation of Web-Based Point-of-Care Information Summaries.

Authors:  Koren Hyogene Kwag; Marien González-Lorenzo; Rita Banzi; Stefanos Bonovas; Lorenzo Moja
Journal:  J Med Internet Res       Date:  2016-01-19       Impact factor: 5.428

  5 in total

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