- Home
- Companies
- Surgical Safety Technologies Inc. (SST)
- Software
- OR Black Box - Case Discovery Software
OR Black Box - Case Discovery Software
The OR Black Box features Case Discovery, an AI-powered surgical case review tool designed to revolutionize quality improvement in medical settings by providing a comprehensive, objective analysis of surgical procedures. By automatically identifying clinical and operational anomalies such as hypotension, hypoxia, or extended turnover times, this technology facilitates early recognition of factors influencing surgical outcomes. Users benefit from detailed audiovisual incident reporting and trend analysis using real-time data alongside historical benchmarks to inform quality improvement initiatives. The system is instrumental in streamlining investigation processes and improving patient outcomes by reducing errors and changing practices in real-time collaborations within the Surgical Safety Network. Research supporting the Case Discover tool highlights its positive contribution to enhancing surgical safety protocols by decreasing mortality rates, shortening hospital stays, and lessening surgical complications. This cutting-edge technology offers a structured approach to elevate clinical practice and boost operational efficiency in operating rooms globally.
Peer-reviewed research and global use of Case Discovery have proven the module’s ability to positively impact patient outcomes, such as:
- Reduced mortality rates
- Reduced length of stay
- Fewer never events
- Reduced readmission
- Reduced surgical site infections
- Reduced return to the OR
Comprehensive surgical case review to fuel continuous quality improvement
Identifying contributing factors to positive or negative surgical outcomes is often a complex and arduous process, requiring conducting extensive interviews, performing in-depth chart review, exporting data from several devices within the operating room, and weaving the information together to form a cohesive picture of what occurred. The process is long and, even when conducted properly, is plagued by subjectivity and recollection bias.
The OR Black Box was intentionally designed with Case Discovery to provide an accurate, objective, and comprehensive view into surgical cases. Leveraging AI and data analytics, Case Discovery automatically detects clinical and operational outliers, enabling root cause analysis and driving continuous quality improvement.
Automatically detect outliers
Case Discovery leverages AI-powered event detection to automatically identify clinical outliers, such as hypotension, hypothermia, or hypoxia, as well as operational events such as delays, cases over schedule, and extensive turnover times.
Streamline incident reporting
During and after surgical cases, clinical staff can anonymously report incidents that occur during cases. Case Discovery flags these cases by incident, enabling more streamlined investigation into processual breakdowns that may have allowed the incident to occur.
Conduct audiovisual case review
In addition to reviewing case data in aggregate, Case Discovery allows for the review of audio, video, and physiologic data - making it easy to understand how clinical or environmental occurrences may have attributed to incidents or exemplified best practices.
Leverage unparalleled analytics
Data analysis provided by Case Discovery enables teams to easily explore trends over time, as well as benchmark performance internally and across the entire Surgical Safety Network.
The OR Black Box stands apart with Case Discovery™ - an AI-driven, surgical case review tool that informs quality improvement in ways no other solution can replicate.