Academic Awards 2023 booklet

67 Automated Transformation of Picture Archiving and Communication System Reporting Templates to HL7® FHIR® Models The wealth of medical data collected in electronic information systems has the potential to further medical treatment workflows and health outcomes for patients. This data can directly benefit applications such as clinical dashboards and Artificial Intelligence (AI) algorithms. However, the interoperability and reuse of the data is hindered because this data is often recorded as natural language text or locked behind proprietary standards. In radiology, a Picture Archiving and Communication System (PACS) is utilized for storing and reporting on radiological imaging data. The project aimed at the development of a system for transforming existing reporting templates (a reporting guide utilized by radiologists) from a proprietary system to Fast Healthcare Interoperability Resources (FHIR®): an open and progressive standard for health care data exchange. This can liberate existing data for utilization in state-of-the-art health applications. The design of the system focused on extensibility as a pathway to support the varied radiology reporting standards adopted by different hospitals. A secondary focus was the inclusion of missing clinical semantical information from recognized medical standards bodies to standardize the transformed data. The results were validated by utilizing real-world reporting templates. Figure 2: Process overview of transforming reporting templates from a Picture Archiving and Communication System (PACS) into Fast Healthcare Interoperability Resources (FHIR®) models. Figure 1: Variability in medical standards and information systems utilized for recording patient informatio in radiology.