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EN
Business Intelligence approaches such as process mining can be applied to the healthcare domain in order to gain insight into the complex processes taking place. Disclosing as-is processes helps identify room for improvement and answers questions from medical professionals. Existing approaches are based on proprietary log data as input for mining algorithms. Integrating the Healthcare Enterprise (IHE) defines in its Audit Trail and Node Authentication (ATNA) profile how real-world events must be recorded. Since IHE is used by many healthcare providers throughout the world, an extensive amount of log data is produced. In our research we investigate if audit trails, generated from an IHE test system, carry enough content to successfully apply process mining techniques. Furthermore we assess the quality of the recorded events in accordance with the maturity level scoring system. A simplified simulation of the organizational workflow in a radiological practice is presented. Based on this simulation a process mining task is conducted.
EN
The publication of the HL7-FHIR standard offers new possibilities for integrated applications in healthcare. Although trial implementations have only recently started, the application of FHIR in context of a Personal Health Monitoring solution is worth investigating. Most of the existing telemonitoring solutions in healthcare rely on guidelines defined by the Continua Health Alliance (CHA). This paper compares the requirements of CHA and HL7-FHIR with respect to data traffic between client devices and server side applications. Therefore an existing CHA-compliant telemonitoring solution is extended towards supporting HL7-FHIR. Both approaches were simultaneously evaluated in a live system with 68 participants. The results of the evaluation show that the FHIR approach offers the possibility of reducing data traffic in comparison to the CHA solution.
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