Resuscitation Project

The project is a close collaboration with Carle Foundation Hospital and focuses on designing a resuscitation support system with integrated workflow, data to decision pipeline, and Medical Device Plug and Play (MDPnP). The main goal is to provide shared and role-based situation awareness in Intensive Care Unit (ICU) to improve the efficiency and safety despite high uncertainty of diagnosis & treatments and difficulties of synchronizing individuals’ actions to workflow.  The system will provide a real-timeintegrated workflow-driven display, facilitating action coordination, timely diagnosis and observation of patient response to the treatments. This will ultimately guide team towards optimal performance while reducing preventable medical errors in ICU often caused by reliance on human memory, verbal communication and notes and disparate displays.

CardiacArrest

The  system under development consists of the major components:  data to decision pipeline, workflow manager, and MDPnP manager.

Data to Decision Pipeline consists of three sub-components:  context dependent data cleaning, interactive human interface, and risk oriented display.

Context dependent data cleaning:  In a medical environment, sensor data can be noisy and misleading. The sensor data interpretation depends on the state of the workflow and the risk embedded in it. For instance, a drop in oxygen saturation value during resuscitation may indicate a malfunction of the ventilator or cardiac output. Alternatively, it may be caused by the subclavian vein catheterization procedure, which may have accidentally punctured the lung.

Interactive Human Interface: Like GPS, our tool assists physicians in navigating through complex data landscapes and always adapts itself to support the physician’s approach. Unlike GPS, the tool likely has a higher error rate. Therefore, an interactive interface will  be developed to expose the reasoning behind discovery and allow physicians to input additional relevant context to be incorporated into the machine reasoning.

Risk oriented display provides a prioritized display of information based on the risk to the patient. In addition, the information is grouped according to the corresponding organ system.

Workflow manager drives the user interface to help physicians follow the resuscitation treatment guidelines and prevent safety hazards. In addition, when patient adverse events occur, workflow manager will highlight the current and next steps to be taken.

MDPnP manager manages the physical device, provides abstract sensors and actuators to the upper layers, checks for any inconsistency or conflict in physiological measurements and supervises medical device interactions in order to prevent device-level safety hazards.

For more detailed information, please check the presentation slides