An organ-centric best practice assist system for acute care

As patient condition changes rapidly in acute care, the monitoring and treatment plan must be adapted accordingly to ensure safe and effective patient care. Most current medical monitoring systems provide little contextual information on patient state. We present best practice assist system to help medical staff assess patient state more accurately and adapt her care plan according to the best practice guidelines and community consensus. The main components of our system are 1) an efficient and clinically sound representation of patient state in the form of disease and interacting organ states 2) a best practice manager that encodes the best practice monitoring and treatment guidelines for a given patient condition. Both components are modeled using finite state machine formalism. In addition, we have implemented a patient control panel and a graphical display to simulate clinical scenarios. Using a cardiac arrest scenario, we demonstrate how our system can help medical staff with patient assessment and adherence to best practice.