Office of Technology Transfer – University of Michigan

Data Management Software for ICU

Technology #5231

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Zackary E. Boomsaad
Managed By
Drew Bennett
Associate Director - Software Licensing 734-615-4004

Cognitive support systems are needed to improve efficacy of ICU physicians

An enormous volume of patient data is generated daily in intensive care unit (ICU) settings. This constant, cumbersome data stream poses a significant challenge for physicians who are responsible for the analysis and interpretation of the data stream. Current electronic health records (EHR) systems are inadequate with respect to the automatic organization and filtration of data into a problem-based or system based approach to clinical care. Physicians must sift through data for abnormalities and must repeatedly associate these findings with particular organ systems or problems. This task is inefficient and detracts from the physician’s ability to critically evaluate data and arrive at key diagnostic and treatment decisions. Automation of these tasks and a more intuitive interface between electronic medical records and the physician are needed to enhance efficiency and ultimately improve patient care.

Streamlining patient data analysis to facilitate clinical decision making, in the palm of your hand

Software has been conceptualized by physicians at the University of Michigan that will improve the interface between the various patient data streams and the clinician interpreting those data. Specifically, the software will perform automatic organization of data streams into patient specific organ systems or patient problems. Doing so will expedite the retrieval of data and the decision-making process. Moreover, data will be automatically filtered to identify abnormal values, with those values organized into the patient’s systems or specific problems. This capability will allow clinicians to focus their attention on what is important within the relevant clinical context. Additionally, the technology contains an alert feature to notify clinicians to significantly abnormal or potentially life-threatening clinical situations. Designed for use on a tablet of Smartphone, the software will employ a visually appealing, intuitive, touch-screen interface allowing clinicians to interact with the electronic medical record system, other clinical information systems, and order entry systems for the hospital. Feedback mechanisms within the software will allow for standing orders to be in place given certain clinical parameters, increasing efficiency and quality of patient care.

Applications • Patient monitoring in ICU settings

Advantages • More intuitive and elegant interface between clinician and electronic health records • Improve efficiency of clinicians • Effective alert system for potentially life-threatening clinical situations • Reduce errors and improve patient care through use of alerts and EBBPs