The Friendly Health Issue Network to Support Computer-Assisted Education for Clinical Reasoning in Multimorbidity Patients

Clinical reasoning in multimorbidity conditions asks for the ability to anticipate possible evolutions of overall health state a patient and identify interactions among concurrent issues their treatments. The HIN (Health Issue Network) approach, as Petri Nets-based formal language, is introduced capable providing novel perspective facilitate acquisition such competencies, graphically representing network set (HIs) that affect person throughout life, describing how HIs evolve over time. need provide more immediate user-oriented interface has led development f-HIN (friendly HIN), lighter version based on same mathematical properties HIN, from which stems turn f-HINe extracted) model, used represent networks related either real patients’ clinical experiences extracted electronic records, or teacher-designed realistic histories. Such models have also been designed be embedded software learning environment allows drawing diagram, checking its format correctness, well designing exercises learners, including computer-assisted assessment. present paper aims at introducing discussing f-HIN/f-HINe educational use. It introduces main features it was built upon, pointing out importance to: (i) help medical teachers context outcome; (ii) handle complex history patient, conveyed Case-Based Learning (CBL) exercises.