An Executable Distributed Medical Best Practice Guidance System for End-to-End Emergency Care from Rural to Regional Center
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The project is to develop an Executable Medical Best Practice Guidance (EMBG) system to assist the adherence of acute patient care at a rural hospital to the best medical practice as if the patient care is at a regional hospital. The EMBG system is adaptive to the changing needs of a patient and physical resource availability, just as a GPS-enabled navigation system can driver’s preference and accommodate road condition changes. The safety of the EMBG system is built upon formal theoretical verifications and clinical validations in collaboration with medical professionals, engineers and computer scientists.
During the patient transportation from rural hospitals to regional center hospitals through ambulances, physical environment and communication protocols vary timely. To ensure end-to-end safety and effectiveness of patient care under distributed and mobile environment, we need to overcome following challenges: (1) develop organ-centric medical best practice models; (2) specify, validate and trace environment assumptions in system design and evolution; (3) provide dynamic patient condition monitoring in ambulance under limited and variable bandwidth; (4) reduce complexity of both clinical validation and formal verification of system models; and (5) ensure end-to-end traceability from clinical and system requirements, safety analysis, to design and implementation. We address these issues by computational organ-centric disease models, providing environment assumption management, situation aware pathophysiology-driven and bandwidth-compliant communication protocols, automate model transformation of both validation and verification with model patterns, and traceable analysis of system safety.
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 previous work, the cardiac arrest guidance system, has been submitted to FDA for the (pre-) approval process. For this project, we are in the process of transitioning the research results into medical practice through clinical evaluation.
Submitted by Shangping Ren
on
The project is to develop an Executable Medical Best Practice Guidance (EMBG) system to assist the adherence of acute patient care at a rural hospital to the best medical practice as if the patient care is at a regional hospital. The EMBG system is adaptive to the changing needs of a patient and physical resource availability, just as a GPS-enabled navigation system can driver’s preference and accommodate road condition changes. The safety of the EMBG system is built upon formal theoretical verifications and clinical validations in collaboration with medical professionals, engineers and computer scientists.
During the patient transportation from rural hospitals to regional center hospitals through ambulances, physical environment and communication protocols vary timely. To ensure end-to-end safety and effectiveness of patient care under distributed and mobile environment, we need to overcome following challenges: (1) develop organ-centric medical best practice models; (2) specify, validate and trace environment assumptions in system design and evolution; (3) provide dynamic patient condition monitoring in ambulance under limited and variable bandwidth; (4) reduce complexity of both clinical validation and formal verification of system models; and (5) ensure end-to-end traceability from clinical and system requirements, safety analysis, to design and implementation. We address these issues by computational organ-centric disease models, providing environment assumption management, situation aware pathophysiology-driven and bandwidth-compliant communication protocols, automate model transformation of both validation and verification with model patterns, and traceable analysis of system safety.
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 previous work, the cardiac arrest guidance system, has been submitted to FDA for the (pre-) approval process. For this project, we are in the process of transitioning the research results into medical practice through clinical evaluation.