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Published on: June 11, 2012
Development and implementation of a computer-generated reminder system for diabetes preventive care
D S Nilasena1, M J Lincoln, C W Turner
1Department of Medicine, Salt Lake Veterans Affairs Medical Center, UT.
Computer-generated reminders can improve preventive care for diabetes mellitus. While effective in identifying deviations from guidelines, system usability challenges require further refinement for widespread physician adoption.
Area of Science:
- Internal Medicine
- Preventive Healthcare
- Health Informatics
Background:
- Diabetes mellitus is a chronic disease with preventable complications.
- Existing guidelines for diabetic preventive care have limited impact on physician practice patterns.
- Previous interventions did not leverage computer-generated reminders.
Purpose of the Study:
- To develop and implement a computer-generated reminder system for diabetic preventive care.
- To assess the system's effectiveness in identifying guideline deviations.
- To evaluate physician attitudes and identify barriers to system use.
Main Methods:
- Development of a computer-generated reminder system for diabetic preventive care.
- Implementation in internal medicine resident outpatient clinics.
- Analysis of flagged guideline deviations and physician completion of encounter forms.
Main Results:
- The system identified an average of 13 guideline deviations per patient (out of 21 possible items).
- Physicians completed encounter forms for 37% of patients over a six-month period.
- Physicians viewed guidelines positively, perceiving improved quality without increased cost.
Conclusions:
- Computer-generated reminders show potential for improving diabetic preventive care.
- System complexity and time demands are significant barriers to routine use.
- Future improvements should focus on usability and integration with electronic medical record systems.
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