文档介绍：Computerized ic Risk Assessment and Decision Support in Primary Care
Andrew S. Coulson1, David W. Glasspool1, John Fox1 and Jon Emery2
Imperial Cancer Research Fund, putation Laboratory, PO Box 123, London WC2A 3PX.
Imperial Cancer Research Fund, General Practice Research Group, Division of Public Health and Primary Health Care, Institute of Health Sciences, Old Road, Headington, Oxford OX3 7LF.
Correspondence to Andrew Coulson, putation Laboratory, Imperial Cancer Research Fund, PO Box 123, London WC2A 3PX. Email: ******@acl..uk.
This research was supported by an award from the UK Economic and Social Research Council (award no L127251011) under the Cognitive Engineering Programme. Jon Emery is supported by the Cancer Research Campaign.
Abstract
Public awareness of the availability of ic testing threatens to put severe strain upon ics clinics in the near future. General practitioners (GPs) could help avert this problem by making an initial ic risk assessment and acting as gatekeepers to specialist services. However, studies in the United Kingdom suggest that few GPs feel they have the requisite skills for taking family history details and making an appropriate referral decision. They are also poorly served puter-based pedigree programs, which do not cater to the specific needs of a general practice consultation.
To address these issues, a puter application called RAGs (Risk Assessment in ics) has been designed. The system allows a doctor to create family trees and assess ic risk of breast cancer. RAGs possesses two features that distinguish it from similar software: (a) a user-centred design, which takes into account the requirements of the doctor-patient encounter; (b) risk reporting using qualitative evidence for or against an increased risk, which the authors believe to be more useful and accessible than numerical probabilities are. In that the system allows for any ic risk guideline to be implemented, it can be used with all diseases for which evaluation g