Literature DB >> 9513005

Quantitative evaluation of clinical software, exemplified by decision support systems.

J Wyatt1.   

Abstract

To ensure the correctness of publicity material ('truth in labelling') and to inform their licensing decisions, agencies certifying or regulating any clinical computer system will need information about the system's structure, performance and likely impact on users and the environment in which they work. This information must be reliable and complete, so it needs to be collected in a structured, rigorous evaluation programme. Clinical decision support systems are generally more complex and their effects less easy to predict than most other clinical software, so pose the greatest challenge to evaluators. They are therefore the focus of this paper.

Mesh:

Year:  1997        PMID: 9513005     DOI: 10.1016/s1386-5056(97)00100-7

Source DB:  PubMed          Journal:  Int J Med Inform        ISSN: 1386-5056            Impact factor:   4.046


  5 in total

1.  Verifying quality and safety in health informatics services.

Authors:  M Rigby; J Forsström; R Roberts; J Wyatt
Journal:  BMJ       Date:  2001-09-08

2.  Assessment of the potential impact of a reminder system on the reduction of diagnostic errors: a quasi-experimental study.

Authors:  Padmanabhan Ramnarayan; Graham C Roberts; Michael Coren; Vasantha Nanduri; Amanda Tomlinson; Paul M Taylor; Jeremy C Wyatt; Joseph F Britto
Journal:  BMC Med Inform Decis Mak       Date:  2006-04-28       Impact factor: 2.796

3.  Clinical decision support software for diabetic foot risk stratification: development and formative evaluation.

Authors:  Deborah E Schoen; David G Glance; Sandra C Thompson
Journal:  J Foot Ankle Res       Date:  2015-12-12       Impact factor: 2.303

4.  Computer-Based Driving in Dementia Decision Tool With Mail Support: Cluster Randomized Controlled Trial.

Authors:  Mark J Rapoport; Carla Zucchero Sarracini; Alex Kiss; Linda Lee; Anna Byszewski; Dallas P Seitz; Brenda Vrkljan; Frank Molnar; Nathan Herrmann; David F Tang-Wai; Christopher Frank; Blair Henry; Nicholas Pimlott; Mario Masellis; Gary Naglie
Journal:  J Med Internet Res       Date:  2018-05-25       Impact factor: 5.428

5.  The first steps in the evaluation of a "black-box" decision support tool: a protocol and feasibility study for the evaluation of Watson for Oncology.

Authors:  Lotte Keikes; Stephanie Medlock; Daniel J van de Berg; Shuxin Zhang; Onno R Guicherit; Cornelis J A Punt; Martijn G H van Oijen
Journal:  J Clin Transl Res       Date:  2018-07-27
  5 in total

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