This invention aims to revolutionize team-based decision support systems.
Description
This invention leverages passive monitoring of team interactions through audio, video, and other sensors to enhance situational awareness and provide timely, relevant information to the team. This innovation promises to significantly improve the efficiency and effectiveness of team-based decision-making processes, particularly in complex environments like Intensive Care Units (ICUs).
Applications
• Clinical Decision Support
• Healthcare Delivery
• Digital Therapeutics
Advantages
Unlike traditional systems designed for individual use, this invention focuses on team interactions, making it more suitable for complex, multidisciplinary environments. The use of passive monitoring through audio, video, and other sensors provides a comprehensive understanding of team dynamics and situational context. Additionally, the system can identify the primary conversation of interest and filter out irrelevant discussions, ensuring that the team receives the most pertinent information. By providing timely and relevant information, the system can enhance decision-making processes and improve outcomes in critical situations. For example, in an ICU setting, the system can monitor multidisciplinary rounding discussions, identify key topics, and provide relevant data to support clinical decisions, thereby improving patient care and reducing errors.
Invention Readiness
The current state of the technology is at the concept stage, with the invention disclosure submitted and the initial development underway. The system’s core features, such as ambient monitoring and advanced filtering, have been conceptualized, and the team is working on developing and testing these capabilities. The next steps include building a prototype, conducting pilot studies in real-world settings, and refining the system based on feedback from users.
The invention has received funding from the NIH and the Pittsburgh Health Data Alliance, indicating strong support and recognition of its potential impact. Collaboration with institutions like UPMC and CMU further enhances the development and validation process, ensuring that the system meets the needs of its intended users.
IP Status
Software
