A Real-Time Professional Content Recommendation System for Healthcare Providers’ Knowledge Acquisition

Lifelong learning has become an essential component in a professional’s career path. With the wide use of mobile devices in working environments, professionals can acquire knowledge anytime and anywhere. For healthcare providers, their clinical knowledge acquisition in a timely manner can significantly improve patient treatment. In this paper, we present a real-time professional content recommendation system for healthcare providers’ knowledge acquisition. The system includes five layers: Data Layer (healthcare provider profile, learning behavior, social network and etc.), Algorithm Layer (clinical/medical knowledge classification, medical expertise similarity measurement, professional-knowledge matching algorithms and etc.), Service Layer (click/browsing behavior monitor, healthcare provider feedback collection and etc.), Application Layer (medical content recommendation, retrieval optimization and etc.) and Management Layer (clinical scenario configuration, medical terminology management and etc.). The system has been applied in a knowledge service applications targeting clinicians in mobile Health (mHealth) scenario.