Bringing Things Together and Linking to Health Information using openEHR

Presentation at the Digital Patient Modeling and Clinical Decision Support workshop at Medinfo 2015 Conference

Clinical decision making is non-trivial given the amounts of data and knowledge that need to be considered. Examination results that are stored in multiple formats and data types in clinical information systems build the basis for decision making. Beyond, medical knowledge and biological or molecular-biological processes influence the process. So far, medical knowledge, biological knowledge and patient data are separated from each other and need to be integrated mentally by a physician to form an overarching patient model. Digital patient modelling is addressing this problem by developing methods for integrating information and patient data related to specific medical conditions and making it available for various applications such as decision support. This workshop is devoted to digital patient modelling as basis for clinical decision support. This topic poses many challenges with respect to semantic linking of data, modelling of domain knowledge, structured representation and modelling of patient data as well as knowledge and information extraction from free textual sources. The workshop allows participants to learn about digital patient modelling and the required technologies and methods. More importantly, it will provide a platform to discuss current challenges and future steps towards new directions for data linking, information modelling and model-based clinical decision support.