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DEVELOPING AN OPERATIONAL DECISION RULE FOR IDENTIFYING THE FATAL CASE DOCUMENTS AT RISK OF BEING RETURNED THROUGH
U B Misra1, Skp Matwankar2, R Bhalwar3
1Post Graduate Trainee, Armed Forces Medical College, Pune 41 1040.
Medical Journal, Armed Forces India
|August 5, 2017
Summary
A new mathematical model predicts which fatal case documents are likely to be returned due to errors. This helps prevent delays in administrative procedures by identifying high-risk documents for early correction.
Area of Science:
- Medical Documentation
- Public Health Informatics
- Biostatistics
Background:
- Incomplete or inaccurate fatal case documents lead to administrative delays.
- Returning documents requires corrective actions and prolongs procedural completion.
Purpose of the Study:
- To develop a predictive mathematical model for identifying high-risk fatal case documents.
- To enable preemptive corrective actions and reduce document return rates.
Main Methods:
- Multiple logistic regression analysis was applied to fatal case document data.
- Diagnostic test characteristics and Receiver Operating Curve (ROC) analysis were performed.
- A mathematical rule was derived based on key risk factors.
Main Results:
- A predictive rule was developed incorporating age, service status, and time lag.
- The model demonstrated a sensitivity of 53% and specificity of 75%.
- Key factors include age over 50, age 12 or under, serving personnel, ex-servicemen, dependent children, and time lag > 10 days.
Conclusions:
- The developed mathematical model can identify fatal case documents at increased risk of return.
- Implementing this model can help mitigate administrative delays by enabling timely interventions.
- Further refinement may improve the model's predictive accuracy for medical documentation processes.
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