Literature DB >> 11922931

Evaluation in the design of health information systems: application of approaches emerging from usability engineering.

Andre Kushniruk1.   

Abstract

This paper examines the role of evaluation in the design of health care information systems. A framework is presented for considering evaluation in the context of software development processes, in particular, the systems development life cycle (SDLC). Variations on standard design methodologies are then discussed, including methods based on rapid development and continual evaluation of prototype systems. Usability testing is presented as a key method for conducting evaluations during iterative system development. The emergence of design methodologies, where evaluation is viewed as a central part of the development cycle is also discussed. Evaluation methodologies are then considered along a continuum, ranging from studies involving a high degree of experimental control to observational approaches. A full cycle approach to evaluation of health care systems is argued for, involving deployment of new methods across the SDLC. Implications for future work exploring the integration of design and evaluation processes in health informatics are discussed.

Mesh:

Year:  2002        PMID: 11922931     DOI: 10.1016/s0010-4825(02)00011-2

Source DB:  PubMed          Journal:  Comput Biol Med        ISSN: 0010-4825            Impact factor:   4.589


  65 in total

1.  From prototype to production system: lessons learned from the evolution of the SignOut System at Mount Sinai Medical Center.

Authors:  Andre Kushniruk; Tom Karson; Carlton Moore; Joseph Kannry
Journal:  AMIA Annu Symp Proc       Date:  2003

2.  Deriving design recommendations through discount usability engineering: ethnographic observation and thinking-aloud protocol in usability testing for computer-based teaching cases.

Authors:  Bonnie Kaplan
Journal:  AMIA Annu Symp Proc       Date:  2003

3.  Value of human factors to medication and patient safety in the intensive care unit.

Authors:  Matthew C Scanlon; Ben-Tzion Karsh
Journal:  Crit Care Med       Date:  2010-06       Impact factor: 7.598

4.  Quantitative ethnographic study of physician workflow and interactions with electronic health record systems.

Authors:  Onur Asan; Erin Chiou; Enid Montague
Journal:  Int J Ind Ergon       Date:  2015-09-01       Impact factor: 2.656

5.  Architectural quality criteria for hospital information systems.

Authors:  Birgit Brigl; Gudrun Hübner-Bloder; Thomas Wendt; Reinhold Haux; Alfred Winter
Journal:  AMIA Annu Symp Proc       Date:  2005

6.  Use of simulation in the study of clinician workflow.

Authors:  Elizabeth M Borycki; Andre W Kushniruk; Shige Kuwata; Joseph Kannry
Journal:  AMIA Annu Symp Proc       Date:  2006

7.  Resolving complex research data management issues in biomedical laboratories: Qualitative study of an industry-academia collaboration.

Authors:  Sahiti Myneni; Vimla L Patel; G Steven Bova; Jian Wang; Christopher F Ackerman; Cynthia A Berlinicke; Steve H Chen; Mikael Lindvall; Donald J Zack
Journal:  Comput Methods Programs Biomed       Date:  2015-11-12       Impact factor: 5.428

8.  Formative Usability Testing Reduces Severe Blood Product Ordering Errors.

Authors:  Evan W Orenstein; Jeanne Boudreaux; Margo Rollins; Jennifer Jones; Christy Bryant; Dean Karavite; Naveen Muthu; Jessica Hike; Herb Williams; Tania Kilgore; Alexis B Carter; Cassandra D Josephson
Journal:  Appl Clin Inform       Date:  2019-12-25       Impact factor: 2.342

9.  Development and usability testing of a web-based cancer symptom and quality-of-life support intervention.

Authors:  S E Wolpin; B Halpenny; G Whitman; J McReynolds; M Stewart; W B Lober; D L Berry
Journal:  Health Informatics J       Date:  2014-01-09       Impact factor: 2.681

10.  Working out the kinks: testing the feasibility of an electronic pain diary for adolescents with arthritis.

Authors:  J N Stinson; G C Petroz; B J Stevens; B M Feldman; D Streiner; P J McGrath; N Gill
Journal:  Pain Res Manag       Date:  2008 Sep-Oct       Impact factor: 3.037

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