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Establishing Medical Intelligence-Leveraging Fast Healthcare Interoperability Resources to Improve Clinical
Alexander Brehmer1, Christopher Martin Sauer1,2, Jayson Salazar Rodríguez1
1Institute for Artificial Intelligence in Medicine, University Hospital Essen, Essen, Germany.
This study demonstrates how Fast Healthcare Interoperability Resources (FHIR) data analytics can improve patient care across five specialties. Real-world data insights led to recommendations for optimizing treatment and interventions for conditions like myocardial infarction, stroke, and sepsis.
Area of Science:
- Health Informatics
- Clinical Data Analytics
- Medical Intelligence
Background:
- Fast Healthcare Interoperability Resources (FHIR) is proposed for health data interoperability.
- Current FHIR applicability is limited to selected research projects with small datasets.
Purpose of the Study:
- To design and implement a medical intelligence framework.
- To leverage real-world care data for clinical decision-making.
Main Methods:
- Developed FHIRPACK (FHIR Python Analysis Conversion Kit) for multimodal FHIR data.
- Applied to 5 clinical use cases: myocardial infarction, stroke, diabetes, sepsis, and prostate cancer.
- Utilized ICD-10 codes for patient identification and analyzed laboratory tests, prescriptions, procedures, and diagnostic reports.
Main Results:
- Analyzed 1,302,988 patient encounters in 2022.
- Identified medication adherence in myocardial infarction (72.7%), stroke interventions (165 thrombolysis, 108 thrombectomy).
- Found 39% dysglycemia prevalence in diabetes patients, with 44.2% undiagnosed; identified common pathogens and antibiotics in sepsis cases.
Conclusions:
- Large-scale FHIR data analytics enhance healthcare quality and patient outcomes.
- Identified opportunities for optimizing antibiotic therapy in sepsis, statin/antiplatelet therapy in myocardial infarction, and timely interventions in stroke.
- Highlighted potential for specialist referral in hyperglycemia and early cancer marker detection in prostate cancer.
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