REMOTE: A Framework to Create Fast Healthcare Interoperability Resources (FHIR) from Unstructured Clinical Data

Daniel B. Hier MD, Michael D. Carrithers MD, Thanh Son Do MS, and Tayo Obafemi-Ajayi PhD

University of Illinois at Chicago, Missouri State University

 
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Daniel B. Hier MD, Michael D. Carrithers MD, Thanh Son Do MS, and Tayo Obafemi-Ajayi PhD. REMOTE: A Framework to Create Fast Healthcare Interoperability Resources (FHIR) from Unstructured Clinical Data. Uploaded to https://www.posterpresentations.com/research/posters/VH-91008/. Submitted on July 6, 2025.
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Poster - #VH-91008 - Keywords: FHIR, SNOMED CT, ontology, LLM

REMOTE: A Framework to Create Fast Healthcare Interoperability Resources (FHIR) from Unstructured Clinical Data

Daniel B. Hier MD, Michael D. Carrithers MD, Thanh Son Do MS, and Tayo Obafemi-Ajayi PhD
University of Illinois at Chicago, Missouri State University

ABSTRACT:
This study introduces REMOTE, a systematic framework for generating Fast Healthcare Interoperability Resources (FHIR) from unstructured clinical notes. REMOTE is a stepwise pipeline that Reformats clinical notes, Extracts key medical concepts, Maps those concepts to standardized Ontologies, Transforms them into FHIR resources, and enables Exchange across health data repositories. We demonstrate the feasibility of this framework by processing 1,618 unstructured clinical notes, extracting chief complaints, signs and symptoms, diagnoses, and medications, mapping them to SNOMED CT codes, converting them into FHIR Observation. Condition, MedicationRequest resources, and uploading them into FHIR repositories for data exchange.

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