Visible to the public Executable Distributed Medical Best Practice Guidance (EMBG) System for End-to-End Emergency Care From Rural to Regional Center

Abstract: The project is to develop an Executable Medical Best Practice Guidance (EMBG) system for acute medical care such as sepsis and strokes. EMBG assists the adherence to medical best practice across a hospital network, consists of rural hospitals, regional center hospital and ambulance service to transfer serious ill patients from rural to central hospital. The hospital partners now include Carle Foundation Hospital and Oregon Health and Science University (OHSU) School of Medicine. Just like a GPS-enabled navigation system providing turn-by-turn advisory, EMBG provides patient state by state advisory according to applicable medical best practice. The safety of the EMBG system is built upon formal theoretical verifications and clinical validations in collaboration with medical professionals. During the patient transportation from rural hospitals to regional center hospitals through ambulances, physical environment, communication bandwidth and patient conditions can vary greatly. To ensure end-to-end safety and effectiveness of patient care under distributed and mobile environment, we need to overcome following challenges: (1) develop executable organ-centric medical best practice models; (2) specify, validate and trace clinical environment assumptions from system design to deployment; (3) provide optimized patient condition monitoring in ambulance under limited and variable bandwidth; (4) create reduced complexity designs to facilitate the end-to-end traceability from clinical and system requirements, safety analysis, design, implementation and clinical evaluation. Our research tightly integrates the pursuit of intellectual merits and broader impacts. Our work on developing verifiable EMBG system has long term impacts in healthcare: it will provide better emergency care for people in rural areas and can directly impact 1.2 million people at central and southern Illinois. Our new partner, OHSU medical school further expands the frontier of research and transition. Our previous work, the cardiac arrest guidance system, has already been submitted to FDA for the (pre-) approval process.

Shangping Ren is Professor of Computer Science at Illinois Institute of Technology. She earned her doctoral degree from the University of Illinois at Urbana-Champaign. Before she joined Illinois Institute of Technology, she worked in ERP, Software, and Tele-Communication companies for six years. Her research is in the area of cyber-physical systems, M-CPS, resource scheduling for distributed real-time and embedded systems, and programming models and languages for open distributed and real-time systems. She is a CAREER awardee and a senior IEEE member.

Lui Sha graduated with Ph.D. from CMU in 1985. He is Donald B. Gillies Chair professor at UIUC. He is a fellow of the ACM, a fellow of the IEEE and a recipient of IEEE Simon Ramos Medal. He served on National Academy of Science's committee on certifiably dependable software and is a member of NASA Advisory Council. He is active in CPS system research.

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