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Comparing a Data Entry Tool to Provider Insights Alone for Assessment of COVID-19 Hospitalization Risk: Pilot Matched
Gezan Yahya1, James B O'Keefe2, Miranda A Moore2,3
1Rollins School of Public Health, Emory University, Atlanta, GA, United States.
The COVID-19 Risk Tier Assessment Tool (CRTAT) improved risk stratification for outpatients compared to provider judgment alone. This telemedicine tool enhances clinical decision-making for severe COVID-19 outcomes.
Area of Science:
- Infectious Diseases
- Health Informatics
- Clinical Decision Support
Background:
- The COVID-19 pandemic highlighted the need for effective risk prediction for outpatients.
- High hospitalization rates necessitate tools to estimate future hospitalization risk.
- The COVID-19 Risk Tier Assessment Tool (CRTAT) was developed to aid outpatient clinical decisions.
Purpose of the Study:
- To compare the accuracy of risk tier assignments (RTAs) generated by CRTAT versus medical provider insights.
- To evaluate CRTAT's utility in identifying key factors influencing COVID-19 severity in outpatients.
Main Methods:
- Retrospective analysis of COVID-19 positive outpatients from Emory Healthcare's Virtual Outpatient Management Clinic (VOMC).
- Comparison of RTAs from CRTAT with those from algorithm-trained healthcare providers.
- Inclusion of hospitalized and matched non-hospitalized patient groups.
Main Results:
- Discrepancies in RTAs were observed in 16 out of 42 matched patients.
- Reasons for discrepancies included missed comorbidities, undercoded risk, and miscoded symptom severity.
- CRTAT demonstrated a more accurate categorization, particularly for hospitalized patients.
Conclusions:
- CRTAT enhances clinical decision-making by accurately categorizing patient risk tiers.
- Similar risk assessment tools could improve management for other infectious diseases.
- Telemedicine-enabled tools like CRTAT are crucial for remote patient monitoring and care.
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