Evidence based on patient’s experience data and clinical guidelines-for patient-oriented clinical decision support

Abstract

In view of the fact that evidence-based clinical decision support systems (CDSS) mostly make objective decisions based on clinical evidence, ignoring the subjective preferences of patients. How to provide the most suitable and personalized medical plan for a particular patient is a problem that should be considered at present. For this purpose, we propose to use patients’ experience data and clinical guidelines as knowledge sources to construct evidence in order to support patient-oriented clinical decision-making. In this paper, we propose a side-effect knowledge model, which can model the side-effect knowledge obtained from two data sources: patient experience data and clinical guidelines to support mining patient preferences in a more fine-grained form. In addition, we also propose a comprehensive decision-making system architecture that can consider both the patient’s clinical symptoms and subjective preferences, so as to provide more comprehensive and interpretable decision support for clinicians and patients. We designed and implemented a prototype system to prove the feasibility of this decision support system architecture.