Federico, PaoloUnger, JürgenAmor-Amorós, AlbertSacchi, LuciaKlimov, DenisMiksch, SilviaE. Bertini and J. C. Roberts2015-05-242015-05-242015https://doi.org/10.2312/eurova.20151108The advanced visualization of electronic health records (EHRs), supporting a scalable analysis from single patients to cohorts, intertwining patients' conditions with executed treatments, and handling the complexity of timeoriented data, is an open challenge of visual analytics for health care. We propose an approach that, according to the knowledge-assisted visualization paradigm, leverages the domain knowledge acquired by clinical experts and formalized into computer-interpretable guidelines (CIGs), in order to improve the automated analysis, the visualization, and the interactive exploration of EHRs of patient cohorts. In this way, the analyst can get insights about the clinical history of multiple patients and assess the effectiveness of their health care treatments.J.3 [Computer applications]Life and medical scienceMedical information systems10.2312/eurova.2015110879-83