AJMC August 13, 2025
Key Takeaways
- Researchers developed a model using EHR data to predict MM risk, addressing late diagnosis issues due to lack of early symptoms and screening markers.
- The study analyzed data from Clalit Health Services, identifying key clinical and laboratory parameters linked to MM risk.
- A simplified model was created for community physicians, showing potential for early detection and treatment shifts, but requires external validation.
- Setting a threshold for the model is crucial to balance cost and diagnostic accuracy, impacting the number of MM diagnoses.
Early identification of multiple myeloma could help clinicians intervene more swiftly.
Investigators say they have created a set of models that can use common electronic health record (EHR) data to predict a patient’s risk...
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