When patient transition decisions are made at both enterprise and unit level, priorities and bottlenecks may be difficult to identify — potentially leading to inconsistent care delivery. A holistic approach to care orchestration is needed, one that combines clinical and operational data, translating it into actionable information.
Patient Flow Capacity Suite (PFCS) is a cloud-based patient logistics management solution that uses machine learning to support care delivery at the right time, place, and care setting. Purpose-built on the Health Informatics Suite platform, a scalable modular approach connects care across various settings. It is designed to support integrated care orchestration and help clinicians manage patients across the care spectrum. Enabling users to coordinate care and share clinical and operational data, patients can be managed across their healthcare network and affiliate networks with post-acute settings.
Philips Research provided the expertise and knowledge needed to support optimization of predictive analytics, prevention of unnecessary admission, identification of delays, reduction of costs through improved patient flow and the intuitive visualization of information so that PFCS can be used optimally, based on user experiences.