Testing the prospective evalutation of a new health information system

Planitz, Birgit, Sanderson, Penelope, Freeman, Clinton, Xiao, Tania, Botea, Adi and Beltran Orihuela, Cristina (2012). Testing the prospective evalutation of a new health information system. In: AMIA Annual Symposium Proceedings 2012. American Medical Informatics Associate 2012 Annual Symposium (AMIA 2012), Chicago, United States, (734-743). 3-7 November 2012.

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Name Description MIMEType Size Downloads
Author Planitz, Birgit
Sanderson, Penelope
Freeman, Clinton
Xiao, Tania
Botea, Adi
Beltran Orihuela, Cristina
Title of paper Testing the prospective evalutation of a new health information system
Conference name American Medical Informatics Associate 2012 Annual Symposium (AMIA 2012)
Conference location Chicago, United States
Conference dates 3-7 November 2012
Proceedings title AMIA Annual Symposium Proceedings 2012   Check publisher's open access policy
Journal name AMIA Annual Symposium Proceedings   Check publisher's open access policy
Place of Publication Bethesda, MD, United States
Publisher American Medical Informatics Association
Publication Year 2012
Sub-type Fully published paper
ISSN 1942-597X
2153-4063
Volume 2012
Start page 734
End page 743
Total pages 10
Collection year 2013
Language eng
Abstract/Summary Research into health ICT adoption suggests that the failure to understand the clinical workplace has been a major contributing factor to the failure of many computer-based clinical systems. We suggest that clinicians and administrators need methods for envisioning future use when adopting new ICT. This paper presents and evaluates a six-stage ―prospective evaluation‖ model that clinicians can use when assessing the impact of a new electronic patient information system on a Specialist Outpatients Department (SOPD). The prospective evaluation model encompasses normative, descriptive, formative and projective approaches. We show that this combination helped health informaticians to make reasonably accurate predictions for technology adoption at the SOPD. We suggest some refinements, however, to improve the scope and accuracy of predictions.
Q-Index Code E1
Q-Index Status Confirmed Code
Institutional Status UQ

 
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Created: Tue, 16 Apr 2013, 04:19:36 EST by Mrs Alison Pike on behalf of School of Psychology