What do healthcare professionals need to turn risk models for type 2 diabetes into usable computerized clinical decision support systems? Lessons learned from the MOSAIC project.

Giuseppe FicoLiss HernanzezJorge CancelaArianna DagliatiLucia SacchiAntonio Martinez-MillanaJorge PosadaLidia ManeroJose VerdúAndrea FacchinettiManuel OttavianoKonstantia ZarkogianniKonstantina NikitaLeif GroopRafael Gabriel-SanchezLuca ChiovatoVicente TraverJuan Francisco Merino-TorresClaudio CobelliRiccardo BellazziMaria Teresa Arredondo

Published in: BMC medical informatics and decision making (2019)

By using a holistic approach, we have been able to understand user needs, behaviours and interactions and give new insights in the definition of effective Decision Support Systems to deal with the complexity of T2D care.

Keyphrases

clinical decision support
type diabetes
quality improvement
electronic health record
healthcare
palliative care
glycemic control
sensitive detection
insulin resistance
fluorescent probe
pain management
metabolic syndrome