Discover how LLMs revolutionize healthcare by directly transforming unstructured clinical notes into Fast Healthcare Interoperability Resources (FHIR).
Authors: Yikuan Li, MS, Northwestern University Feinberg School of Medicine & Siemens Medical Solutions; Hanyin Wang, BMed, Northwestern University Feinberg School of Medicine; Halid Z. Yerebakan, PhD, Siemens Medical Solutions; Yoshihisa Shinagawa, PhD, Siemens Medical Solutions; Yuan Luo, PhD, F
Summits on Translational Science Proceedings. 2018;2018:74. 2. Hong N, Wen A, Shen F, Sohn S, Wang C, Liu H, Jiang G. Developing a scalable FHIR-based clinical data normalization pipeline for standardizing and integrating unstructured and structured electronic health record data. J a freely accessible critical care database. Scientific data. 2016 May 24;3:1-9. 4. Henry S, Buchan K, Filannino M, Stubbs A, Uzuner O. 2018 n2c2 shared task on adverse drug events and medication extraction in electronic health records. Journal of the American Medical Informatics Association. 2020 Jan;27:3-12. This paper is available on arxiv under CC 4.0 license.
, Northwestern University Feinberg School of Medicine. Table of Links Introduction Introduction Methods Methods Results and Discussions Results and Discussions Conclusion & References Conclusion & References Introduction The integration and exchange of health data across diverse platforms and systems remain challenging due to the absence of standardized formats and a shared semantic understanding.
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