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Computerised decision-support tools in diabetes care: hurdles to implementation.
1Academic Department of Radiology, Bart's and the London NHS Trust, London, United Kingdom. info-www@2aida.org
Diabetes Technology & Therapeutics
|June 17, 2004
Summary
Computerized decision-support tools can aid diabetes care, but their effective use requires careful consideration of users and rigorous validation. Evidence-based medicine demands thorough evaluation before adopting these technologies.
Area of Science:
- Diabetes Information Technology
- Clinical Decision Support Systems
Background:
- Review of insulin-dependent (type 1) diabetes mellitus and the Diabetes Control and Complications Trial.
- Overview of existing computer applications in diabetes management.
Purpose of the Study:
- To consider hurdles in using computerized decision-support tools in clinical diabetes care.
- To highlight the importance of identifying the end-user for these tools.
- To address validation and evaluation issues for decision-support prototypes.
Main Methods:
- Literature review and discussion of computerized decision-support tools.
- Analysis of user identification and validation requirements.
Main Results:
- Hurdles exist in the clinical application of decision-support tools.
- User identification (healthcare professional, student, patient) is crucial.
- Many decision-support prototypes lack proper validation and evaluation.
Conclusions:
- Rigorous evaluation and validation studies are essential in evidence-based medicine.
- Informed decisions regarding the adoption of computerized decision-support tools are needed.
- Further research is required to address the efficacy and safety of these tools.