The Mappability of Clinical Real-World Data of Patients with Melanoma to Oncological Fast Healthcare Interoperability Resources (FHIR) Profiles: A Single-Center Interoperability Study

Abstract

Background: Tumor-specific standardized data are essential for AI-based progress in research, e.g., for predicting adverse events in patients with melanoma. Although there are oncological Fast Healthcare Interoperability Resources (FHIR) profiles, it is unclear how well these can represent malignant melanoma. (2) Methods: We created a methodology pipeline to assess to what extent an oncological FHIR profile, in combination with a standard FHIR specification, can represent a real-world data set. We extracted Electronic Health Record (EHR) data from a data platform, and identified and validated relevant features. We created a melanoma data model and mapped its features to the oncological HL7 FHIR Basisprofil Onkologie [Basic Profile Oncology] and the standard FHIR specification R4. (3) Results: We identified 216 features. Mapping showed that 45 out of 216 (20.83%) features could be mapped completely or with adjustments using the Basisprofil Onkologie [Basic Profile Oncology], and 129 (60.85%) features could be mapped using the standard FHIR specification. A total of 39 (18.06%) new, non-mappable features could be identified. (4) Conclusions: Our tumor-specific real-world melanoma data could be partially mapped using a combination of an oncological FHIR profile and a standard FHIR specification. However, important data features were lost or had to be mapped with self-defined extensions, resulting in limited interoperability.

Jessica Swoboda

Researcher in the first cohort

My research interests include Clinical Decision Support Systems, Data Models and Knowledge Representations, Electronic Health Records and Interoperability Standards.

Catharina Beckmann

Researcher in the first cohort

My research interests include Personalized Medicine, Clinical Decision Support Systems, Context Modeling, and Clinical Practice Guidelines.

Georg C. Lodde

Clinician Scientist

My research interests include Dermatology, Medical Research, and Digitalization.

Elisabeth Livingstone

Principal Investigator

My research interests include Medical Research, Dermatology, and Digitalization.

Felix Nensa

Speaker

My research interests include medical digitalization, computer vision and radiology.

Dirk Schadendorf

Principal Investigator

My research interests include Dermatology, Medical Research, and Digitalization.

Britta Böckmann

Principal Investigator

My research interests include medical digitalization, research, and interdisciplinarity.