An intelligence e-risk detection model to improve decision efficiency in the context of the orthopaedic operating room.

Abstract

Decision making in healthcare is unstructured, complex and critical. Today, given the healthcare professionals are continually under immense time pressure to make appropriate treatment decisions. Moreover, in order to make such decisions it is necessary for them to process large amounts of disparate data and information. We contend that such a context is appropriate for the application of real time intelligent risk detection decision support system. To illustrate the benefits of risk detection to improve decision efficacy in healthcare contexts we focus on the case of the orthopaedic operating room for hip and knee replacements. In the orthopaedic operating room complex high risk decisions must be made which have for reaching implications on the success of the surgery and ongoing quality of life of the patient.