Using computer aided case based reasoning to support clinical reasoning in community occupational therapy

  • Authors:

  • Bruce Taylor;David Robertson;Nirmalie Wiratunga;Susan Craw;Dawn Mitchell;Elaine Stewart

  • Affiliations:

  • Scott Sutherland School, Faculty of Design and Technology, The Robert Gordon University, Garthdee Road, 10 7QB, Aberdeen, UK;School of Health Sciences, The Robert Gordon University, Garthdee Road, 10 7QB, Aberdeen, UK;Research Fellow, School of Computing, The Robert Gordon University, Garthdee Road, 10 7QB, Aberdeen, UK;Head of Research and Graduate Studies, Faculty of Design and Technology, The Robert Gordon University, Garthdee Road, 10 7QB, Aberdeen, UK;School of Health Sciences, The Robert Gordon University, Garthdee Road, 10 7QB, Aberdeen, UK;School of Health Sciences, The Robert Gordon University, Garthdee Road, 10 7QB, Aberdeen, UK

  • Venue:
  • Computer Methods and Programs in Biomedicine
  • Year:
  • 2007

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Abstract

Community occupational therapists have long been involved in the provision of environmental control systems. Diverse electronic technologies with the potential to improve the health and quality of life of selected clients have developed rapidly in recent years. Occupational therapists employ clinical reasoning in order to determine the most appropriate technology to meet the needs of individual clients. This paper describes a number of the drivers that may increase the adoption of information and communication technologies in the occupational therapy profession. It outlines case based reasoning as understood in the domains of expert systems and knowledge management and presents the preliminary results of an ongoing investigation into the potential of a prototype computer aided case based reasoning tool to support the clinical reasoning of community occupational therapists in the process of assisting clients to choose home electronic assistive or smart house technology.