Konferensartikel

This paper examines how data can be activated in the care cycle to support the strategic transition toward value-based healthcare. We used the value-based healthcare framework and applied the cross-industry standard process for data mining methodology to create a data infrastructure showing how real-time, shared decision-making, and clinical support systems can be built and applied in real-time to patients referred to a hip or knee replacement. The results demonstrated that using outcomes in real-time combined with archive data like risk factors enhances the implementation of outcome measurement and, thus, a shift toward VBHC.

Value-based healthcare, Prediction models, Shared Decision-Making, CRISP-DM