Computerization of workflows, guidelines, and care pathways: a review of implementation challenges for process-oriented health information systems
- 1Centre for Health Informatics, School of Informatics, City University London, London, UK
- 2School of Health Information Science, University of Victoria, Victoria, British Columbia, Canada
- Correspondence to Phil Gooch, Centre for Health Informatics, School of Informatics, City University London, Northampton Square, London EC1V 0HB, UK; philip.gooch.1{at}city.ac.uk
- Received 10 December 2010
- Accepted 27 May 2011
- Published Online First 1 July 2011
Abstract
Objective There is a need to integrate the various theoretical frameworks and formalisms for modeling clinical guidelines, workflows, and pathways, in order to move beyond providing support for individual clinical decisions and toward the provision of process-oriented, patient-centered, health information systems (HIS). In this review, we analyze the challenges in developing process-oriented HIS that formally model guidelines, workflows, and care pathways.
Methods A qualitative meta-synthesis was performed on studies published in English between 1995 and 2010 that addressed the modeling process and reported the exposition of a new methodology, model, system implementation, or system architecture. Thematic analysis, principal component analysis (PCA) and data visualisation techniques were used to identify and cluster the underlying implementation ‘challenge’ themes.
Results One hundred and eight relevant studies were selected for review. Twenty-five underlying ‘challenge’ themes were identified. These were clustered into 10 distinct groups, from which a conceptual model of the implementation process was developed.
Discussion and conclusion We found that the development of systems supporting individual clinical decisions is evolving toward the implementation of adaptable care pathways on the semantic web, incorporating formal, clinical, and organizational ontologies, and the use of workflow management systems. These architectures now need to be implemented and evaluated on a wider scale within clinical settings.
- Decision support
- care pathways
- clinical workflow
- modeling
- collaborative technologies
- intelligent tutoring and tailored information representation
- statistical analysis of large datasets
- knowledge acquisition and knowledge management
- supporting practice at a distance (telehealth)
- measuring/improving patient safety and reducing medical errors
- simulation of complex systems (at all levels: molecules to work groups to organizations)
- modeling physiologic and disease processes
Footnotes
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Funding Phil Gooch acknowledges funding and support from the Engineering and Physical Sciences Research Council (EPSRC) in carrying out this review as part of his PhD studentship (EP/P504872/1).
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Competing interests None.
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Provenance and peer review Not commissioned; externally peer reviewed.









