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Background: Medical information systems frequently use event logging, but these logs are not suitable for process mining as they are not logged in a standardized format. Objectives: Our goal is to enrich medical event logs for use in process mining. Method: We present an approach to convert events from standardsbased repositories into the XES and OCEL formats commonly used in process mining. Results: We tested this approach using simulated data from the Austrian breast cancer screening program. Conclusion: We aim to apply it to analyze care guidelines and improve hospital processes in the future. [ABSTRACT FROM AUTHOR]

Healthcare processes have many particularities captured and described within standards for medical information exchange such as HL7 FHIR. BPMN is a widely used standard to create readily understandable processes models. We show an approach to integrate both these standards via an automated transformation mechanism. This will allow us to use the various tools available for BPMN to visualize and automate processes in the healthcare domain. In the future we plan to extend this approach to enable mining and analyzing executed processes. [ABSTRACT FROM AUTHOR]

Background: There is a lack of secure official communication channels for peer review and peer feedback on medical findings. Objectives: We aimed to utilize the existing Austrian eHealth infrastructure to enable review and feedback processes. Methods: We extended the IHE XDW workflow document to enable the exchange of text messages (i.e., comments on documents or images) over an XDS infrastructure. Results: The workflow enables the exchange of comments on specific sections of CDA documents or radiological images and was verified in an XDS test environment. Conclusion: The presented solution is a proof of concept and the potential basis for the specification of a new IHE workflow definition. [ABSTRACT FROM AUTHOR]