Abstract
Objective: This study evaluated a computerized method for extracting numeric clinical measurements related to diabetes care from free text in electronic patient records (EPR) of general practitioners.
Design and Measurements: Accuracy of this number-oriented approach was compared to manual chart abstraction. Audits measured performance in clinical practice for two commonly used electronic record systems.
Results: Numeric measurements embedded within free text of the EPRs constituted 80% of relevant measurements. For 11 of 13 clinical measurements, the study extraction method was 94%-100% sensitive with a positive predictive value (PPV) of 85%-100%. Post-processing increased sensitivity several points and improved PPV to 100%. Application in clinical practice involved processing times averaging 7.8 minutes per 100 patients to extract all relevant data.
Conclusion: The study method converted numeric clinical information to structured data with high accuracy, and enabled research and quality of care assessments for practices lacking structured data entry.
| Original language | English |
|---|---|
| Pages (from-to) | 349-354 |
| Number of pages | 6 |
| Journal | Journal of the American Medical Informatics Association |
| Volume | 14 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - 2007 |
Keywords
- PRACTICE RESEARCH DATABASE
- DECISION-SUPPORT-SYSTEM
- BLOOD-PRESSURE
- MANAGEMENT
- IMPLEMENTATION
- HYPERTENSION
- RETRIEVAL
- PHYSICIAN
- BENEFIT
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GIANTT Groningen Initiative to ANalyse Type 2 diabetes Treatment
Denig, P. (Creator), Universitair Medisch Centrum Groningen / Rijksuniversiteit Groningen, 1-Jan-2007
http://www.giantt.nl and one more link, http://www.giantt.nl/enoutline.htm (show fewer)
Dataset