From FHIR to Bedside: How Standard Data and AI are Shaping the Future of Oncology
From FHIR to Bedside: Priyanka Bodagala and Clinical AI Trust
Hospitals are integrating FHIR-based solutions and AI for cancer care.
Summary
Health Informatics Analyst Priyanka Bodagala highlights the critical need for real-time decision support in cancer care, emphasizing that standardized data like EHRs and FHIR must provide a 'patient-level view' usable at the point of care, rather than just generating reports.
Details
Priyanka Bodagala (Pharm.D) focuses on leveraging real-world data—including EHR and FHIR datasets—to develop AI solutions for oncology. She identifies fragmented information as a major challenge in cancer decision-making, noting that scattered data points like treatment timing or toxicities often fail to integrate in real time. Bodagala argues that mere reporting via electronic dashboards does not change clinical decisions. What is truly needed is an 'FHIR-native, patient-level view' that surfaces risk and trajectory at the moment of care. This concept can be realized through standardized value sets and resource profiles, as seen in FHIR-based oncology data models implemented in India. She stresses that ensuring data quality requires early intervention—such as standardizing units and unifying coding systems—and warns that
Technology Note
FHIR（Fast Healthcare Interoperability Resources）は医療データ交換の国際標準。このエントリの関連技術: FHIR
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