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Papers of the Week


Papers: 15 Jul 2023 - 21 Jul 2023

RESEARCH TYPE:
Clinical, Methodology


Human Studies, In Silico Studies, Neurobiology

PAIN TYPE:
Migraine/Headache


2023 Jul 14


BMC Med Inform Decis Mak


37452338


23


1

Using artificial intelligence to identify patients with migraine and associated symptoms and conditions within electronic health records.

Authors

Riskin D, Cady R, Shroff A, Hindiyeh NA, Smith T, Kymes S

Abstract

Real-world evidence (RWE)-based on information obtained from sources such as electronic health records (EHRs), claims and billing databases, product and disease registries, and personal devices and health applications-is increasingly used to support healthcare decision making. There is variability in the collection of EHR data, which includes “structured data” in predefined fields (e.g., problem list, open claims, medication list, etc.) and “unstructured data” as free text or narrative. Healthcare providers are likely to provide more complete information as free text, but extracting meaning from these fields requires newer technologies and a rigorous methodology to generate higher-quality evidence. Herein, an approach to identify concepts associated with the presence and progression of migraine was developed and validated using the complete patient record in EHR data, including both the structured and unstructured portions.