Clinical Report: AI Tool Finds More Long COVID Cases Than Codes
Overview
A study utilizing an AI-enabled electronic health record phenotyping approach identified 16% of COVID-19 patients as having postacute sequelae of SARS-CoV-2 infection (PASC), significantly higher than traditional diagnostic coding methods. The algorithm demonstrated consistent performance across diverse populations.
Background
Long COVID, or postacute sequelae of SARS-CoV-2 infection (PASC), is a chronic condition affecting many individuals after COVID-19. Accurate identification and monitoring of PASC are critical for effective healthcare planning and resource allocation. Traditional diagnostic coding has been shown to capture only a small fraction of affected individuals.
Data Highlights
| Region | PASC Prevalence |
|---|---|
| New England | 19% |
| Southeast Texas | 20% |
| Southern California | 23% |
| Western Pennsylvania | 14% |
Key Findings
- The AI phenotyping algorithm identified PASC in 16% of COVID-19 patients.
- Regional prevalence rates varied, with Southern California showing the highest at 23%.
- Patients with PASC were generally older, had higher comorbidity burdens, and were more likely to be female.
- Only 4% of the associated ICD-10 codes were classified as acute conditions.
- Systemic manifestations were the most common PASC symptoms, accounting for 23% to 25% of cases across regions.
Clinical Implications
Clinicians should be aware of the high prevalence of chronic conditions among patients with PASC.
Conclusion
Continued efforts are needed to improve the accuracy of PASC detection and management.
Related Resources & Content
- Jiazi Tian, MSc, et al., JAMA Network Open, 2026 -- AI Tool Finds More Long COVID Cases Than Codes
- Open Forum Infectious Diseases — Assessing Primary and Incidental COVID-19 Hospitalization Rates in Santa Clara County
- European Radiology — Assessing the Clinical Applicability of an AI Algorithm for COVID-19 Detection via Chest CT: Findings from the International Consortium for COVID-19 Imaging AI (ICOVAI)
- Frontiers in Medicine — Long COVID as a network disorder: a mechanism-anchored framework for biological stratification and therapeutic targeting
- Long Covid Burden Continues to Grow, Doubling Current Surveillance Estimates, Multi-Hospital Study Shows | Mass General Brigham
- Read "A Long COVID Definition: A Chronic, Systemic Disease State with Profound Consequences" at NAP.edu
- Frontiers | Global prevalence of post-COVID-19 condition (Long COVID): a systematic review and meta-analysis of observational studies
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