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The need for theory to inform clinical information systems and professionalise the health informatics discipline

The need for theory to inform clinical information systems and professionalise the health informatics discipline
The need for theory to inform clinical information systems and professionalise the health informatics discipline

This chapter introduces the idea of theories in health informatics, defines what we mean by theory and distinguishes theories from models, frameworks and predictive principles. After explaining why theories and predictive principles are needed to help us professionalize our discipline, the chapter offers five criteria for a successful predictive principle, discusses how to evaluate predictive principles and theories and links this with the emerging field of evidence-based health informatics. The chapter concludes with three actions needed to move the discipline of theory-based health informatics forward.

Evaluation, Health informatics, Professionalism, Scientific methods, Theory
0926-9630
1-8
IOS Press
Wyatt, Jeremy C.
8361be5a-fca9-4acf-b3d2-7ce04126f468
De Keizer, Nicolette
Scott, Philip
Georgiou, Andrew
Wyatt, Jeremy C.
8361be5a-fca9-4acf-b3d2-7ce04126f468
De Keizer, Nicolette
Scott, Philip
Georgiou, Andrew

Wyatt, Jeremy C. (2019) The need for theory to inform clinical information systems and professionalise the health informatics discipline. In, De Keizer, Nicolette, Scott, Philip and Georgiou, Andrew (eds.) Applied Interdisciplinary Theory in Health Informatics: A Knowledge Base for Practitioners. (Studies in Health Technology and Informatics, 263) IOS Press, pp. 1-8. (doi:10.3233/SHTI190105).

Record type: Book Section

Abstract

This chapter introduces the idea of theories in health informatics, defines what we mean by theory and distinguishes theories from models, frameworks and predictive principles. After explaining why theories and predictive principles are needed to help us professionalize our discipline, the chapter offers five criteria for a successful predictive principle, discusses how to evaluate predictive principles and theories and links this with the emerging field of evidence-based health informatics. The chapter concludes with three actions needed to move the discipline of theory-based health informatics forward.

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Published date: 1 January 2019
Keywords: Evaluation, Health informatics, Professionalism, Scientific methods, Theory

Identifiers

Local EPrints ID: 434265
URI: http://eprints.soton.ac.uk/id/eprint/434265
ISSN: 0926-9630
PURE UUID: 748d759d-b9e6-4576-9a65-5be91059f181
ORCID for Jeremy C. Wyatt: ORCID iD orcid.org/0000-0001-7008-1473

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Date deposited: 18 Sep 2019 16:30
Last modified: 22 Nov 2021 03:09

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Contributors

Author: Jeremy C. Wyatt ORCID iD
Editor: Nicolette De Keizer
Editor: Philip Scott
Editor: Andrew Georgiou

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