Office : University Hospitals of Geneva, Division of medical information sciences, 4, Gabrielle-Perret-Gentil; 1205 Geneva; Switzerland
Phone : +41 22 37 286 97
General field of interests
Influenced by its technical background, frederic's first interests were strongly related to machine learning and were reflected in his involvement in the search for efficient techniques to mining information from biological and clinical textual data. When entering the medical domain, Frederic came into regular contact with specialists coming from different horizons and has slowly expanded its interest toward a much more multidisciplinary approach. Frederic has developed interests towards the improvement of user experience in healthcare applications by positioning users at the center of the requirements. This has led frederic toward the specialization in several fields of expertise such as ergonomics, innovative human computer interaction as well as the application of usability principles to improve users’ acceptance and satisfaction. Another research direction where Frederic is heading to, is the use of sensors for health purposes. These interests are reflected by the participation to several projects aiming at improving users QOL and the use of sensors platform. For instance, the development of sensors' platform allowing personalization of care and follow up of chronic conditions to improve quality of life (QOL). Another project aims at improving user experience in emergency waiting room or another project tries to implement a simulation to train informal caregivers of Alzheimer patients.
Frederic Ehrler graduated in 2009 at university of Geneva, Switzerland, with a PhD in computer science, focusing on mining of very large repositories of clinical textual data and computerized patient records. As a young postdoc, he devoted two years to work on distributed service-oriented architectures for critical applications in the clinical information system of the university hospitals of Geneva (HUG). Since 2012, within the team of the division of medical information sciences at the HUG, his work has focused on research, development and evaluation of innovative solutions in the health settings. This includes: i) Development of advanced interactions’ paradigms such as contactless, movements driven, etc. leading to the implementation of systems adapted for exposed working places such as operating theater, emergency rooms or pharmacy. ii) Integration of innovative ergonomics concepts into human computer interfaces for complex data visualization applied to decision support, navigation of very large data, etc. iii) Integration of various commercially available bio-captors into centralized platforms allowing better surveillance of people health; and iv) Implementation of evaluation and impact measurements.