Developing a FHIR-based EHR Phenotyping Framework: A Case Study for Identification of Patients with Obesity and Multiple Comorbidities from Discharge Summaries

ConclusionsThe study demonstrated that the FHIR-based EHR phenotyping approach could effectively identify the state of obesity and multiple comorbidities using semi-structured discharge summaries. Our FHIR-based phenotyping approach is a first concrete step towards improving the data aspect of phenotyping portability across EHR systems and enhancing interpretability of the machine learning-based phenotyping algorithms.Graphical abstract
Source: Journal of Biomedical Informatics - Category: Information Technology Source Type: research