TY  - GEN
N2  - Patient data entry burden remains a challenge. This study evaluated vector embedding search and large language models (LLMs) for automated schema matching between medical intake forms and the Fast Healthcare Interoperability Resources (FHIR) schema. LLMs outperformed vector embedding search, and smaller LLMs performed comparably to larger models. The highest F1 scores for FHIR resource and element matching ranged from 0.63 to 0.80. Semi-automated solutions may be viable, but FHIR schema complexity remains a major challenge.
DO  - 10.6083/bpxhc43715
DO  - doi
AB  - Patient data entry burden remains a challenge. This study evaluated vector embedding search and large language models (LLMs) for automated schema matching between medical intake forms and the Fast Healthcare Interoperability Resources (FHIR) schema. LLMs outperformed vector embedding search, and smaller LLMs performed comparably to larger models. The highest F1 scores for FHIR resource and element matching ranged from 0.63 to 0.80. Semi-automated solutions may be viable, but FHIR schema complexity remains a major challenge.
AD  - Oregon Health and Science University
T1  - Comparative analysis of NLP techniques for automated matching of medical intake forms to the FHIR data schema: embedding similarity and language models
ED  - Bedrick, Steven
ED  - Advisor
DA  - 2024-09-20
AU  - Pipalia, Amrish
L1  - https://digitalcollections.ohsu.edu/record/43715/files/Pipalia.Amris.2024.pdf
PB  - Oregon Health and Science University
LA  - eng
PY  - 2024-09-20
ID  - 43715
L4  - https://digitalcollections.ohsu.edu/record/43715/files/Pipalia.Amris.2024.pdf
KW  - Medical Informatics
KW  - Artificial Intelligence
KW  - Health Information Interoperability
KW  - FHIR
KW  - schema matching
KW  - LLM
KW  - similarity search
KW  - medical intake form
KW  - health history form
KW  - text embedding
TI  - Comparative analysis of NLP techniques for automated matching of medical intake forms to the FHIR data schema: embedding similarity and language models
Y1  - 2024-09-20
L2  - https://digitalcollections.ohsu.edu/record/43715/files/Pipalia.Amris.2024.pdf
LK  - https://digitalcollections.ohsu.edu/record/43715/files/Pipalia.Amris.2024.pdf
UR  - https://digitalcollections.ohsu.edu/record/43715/files/Pipalia.Amris.2024.pdf
ER  -