Christ-Neumann, Marie-LuiseMarie-LuiseChrist-NeumannEscrich, A.A.EscrichAnguita, A.A.AnguitaStenzhorn, H.H.StenzhornTaylor, M.M.TaylorRamay, H.H.RamayRüping, StefanStefanRüpingKrauth, C.C.KrauthKuchinke, W.W.KuchinkeGraf, NorbertNorbertGrafRossi, S.S.Rossi2022-03-042022-03-042014https://publica.fraunhofer.de/handle/publica/23731910.3332/ecancer.2014.399Usability testing methods are nowadays integrated into the design and development of health-care software, and the need for usability in health-care information technology (IT) is widely accepted by clinicians and researchers. Usability assessment starts with the identification of specific objectives that need to be tested and continues with the definition of evaluation criteria and monitoring procedures before usability tests are performed to assess the quality of all services and tasks. Such a process is implemented in the p-medicine environment and gives feedback iteratively to all software developers in the project. GCP (good clinical practice) criteria require additional usability testing of the software. For the p-medicine project (www.p-medicine.eu), an extended usability concept (EUC) was developed. The EUC covers topics like ease of use, likeability, and usefulness, usability in trial centres characterised by a mixed care and research environment and by extreme time constraints, confidentiality, use of source documents, standard operating procedures (SOA), and quality control during data handling to ensure that all data are reliable and have been processed correctly in terms of accuracy, completeness, legibility, consistence, and timeliness. Here, we describe the p-medicine EUC, focusing on two of the many key tools: ObTiMA and the Ontology Annotator (OA).enjournal article