The OR Black Box is an innovative AI-driven platform designed to revolutionize surgical environments by addressing critical needs in patient safety, quality improvement, skills mastery, and operational efficiency. This comprehensive solution integrates ambient technologies, data analytics, video capabilities, and artificial intelligence to provide actionable insights across the surgery department.
Key features of the OR Black Box include:
-Room State: Offers real-time analytics and predictive insights to optimize scheduling and reduce unplanned overtime.

-Surgical Safety Checklist: An auditing and benchmarking tool ensuring compliance with safety procedures at critical points during surgery.

-Case Discovery: Leverages AI to automatically detect clinical and operational outliers, enabling root cause analysis and quality improvement through video review.
-OR Explorer: Provides a growing library of surgical videos for education, research, and performance enhancement.


The platform promotes transparency, continuous improvement, and care standardization by allowing organizations to compare surgical performance and identify best practices. It streamlines surgical suite workflows, maximizes efficiency, and enhances staff satisfaction.
Developed by Surgical Safety Technologies Inc. (SST), the OR Black Box is built on research excellence through partnerships with leading hospitals. It integrates with existing systems while future-proofing organizations through an open platform for emerging innovations.
With over 80 peer-reviewed publications supporting its efficacy, the OR Black Box empowers surgical teams to systematically analyze and refine their performance, driving continuous, data-driven optimization in surgical care delivery.

Sickbay is an FDA-cleared clinical platform providing hospitals with the only vendor-neutral, integrated patient monitoring solution in healthcare. Sickbay consolidates disparate sourced, time-sequenced patient monitoring data with an average of 25 milliseconds per patient. Sickbay drives cost-effective patient monitoring and powers analytics by providing instantaneous and persisted physiological data to clinicians, researchers, and algorithm developers. Viewing data consolidated in Sickbay on any laptop or mobile device, on wallboards, and in on-prem or remote command centers enables clinicians to deliver the best possible care to patients throughout the hospital.

Medical Informatics Corp.’s (MIC) mission is to deliver next-generation technologies to unify patient monitoring workflows for healthcare systems. MIC’s decade of innovation with its clinical platform, Sickbay, integrates over 30,000 vendor-neutral signals on two percent of hospital beds with over 10,000 clinical users in the United States. Most hospital systems lack native resolution data aggregated through a single source, instead deploying a multi-device strategy that silos data and data access time frames. The Sickbay Clinical Platform stands alone as the only FDA-cleared platform to aggregate time-series waveform data across disparate devices at native resolution. Current bedside devices delete data on average after 72 hours, while Sickbay saves the data indefinitely. Sickbay provides a portal through which care providers can review aggregated, time-synchronized data, annotate it, and collaborate to create algorithms (including ML & AI) and evaluate post-event care. Those algorithms and care models can then be reintroduced into the platform to advance care and innovation. Simply put, Sickbay provides the hospital teams their data from anywhere, anytime, to optimize workflows, analysis, and risk stratification across the patient care spectrum. The diverse team at MIC is fundamentally unlocking a blue ocean of new patient monitoring capabilities for ourselves, our partners, and our clients. MIC’s Sickbay saves lives, improves outcomes, streamlines strategy and technologies, and reduces the overall caring cost for hospital patients nationwide.

AI-Driven Insights: Utilizes advanced AI and machine learning for autonomous risk detection and predictive insights, going beyond traditional EHR data tracking.

Real-Time Analytics: Provides real-time operating room analytics, allowing for immediate operational adjustments.

Customizable Annotation Framework: Offers tailored video analysis tools for center-specific needs and metrics, unlike the more rigid structures of most EHRs.

Continuous Improvement Engine: Facilitates ongoing performance optimization through comparative analytics and best practice identification.

Open Platform Architecture: Designed to integrate with existing systems and accommodate future innovations, offering more flexibility than closed EHR systems.

Surgical Safety Checklist Integration: Incorporates specialized tools for monitoring and improving surgical safety checklist compliance.

Advanced Operational Optimization: Offers predictive insights for scheduling and resource allocation, going beyond basic EHR scheduling capabilities.

Comprehensive Video Integration: Incorporates video capabilities for surgical procedures (open, lap, robotic), enabling visual review and analysis not typically available in competing systems.

Multifaceted Approach: Addresses patient safety, quality improvement, skills mastery, and operational efficiency in a single platform.

Surgical-Specific Focus: Designed specifically for high-acuity surgical environments, offering specialized features not found in other solutions.

Research-Backed: Supported by over 80 peer-reviewed publications, demonstrating proven value and efficacy.

Automated Outlier Detection: Automatically identifies clinical and operational outliers for focused improvement efforts.

Surgical Safety Checklist Integration: Incorporates specialized tools for monitoring and improving surgical safety checklist compliance.

Surgical Safety Network: Facilitates cross-organizational collaboration and benchmarking for safety and quality initiatives. 

The EHR is intended to be a point of care reference to support billing. Traditionally, only documenting discreet vitals from patient monitoring devices at single points.

Sickbay Clinical Platform:

• captures consolidated, persistent, time-series waveform data from networked and non-networked bedside devices at its native resolution
• re-displays near real-time, time aligned signals at an average latency of <25 mSec
• integration of risk scores and analytics

Sickbay is a single, interconnected platform that is designed to support dozens of use cases, therefore competition is dependent upon the use case. In addition to the data agggregation, consolidation, and visualilzation differences referenced under EHR functionality, key differentiators in patient monitoring & virtual care include: 

• vendor neutral device integration
• web-based to support monitoring on any PC, tablet, phone or embedded EHR workflow
• flexible, modular design to enable ability to monitor 50+ patients across units, facilities, and vendors
• unlimited retrospective data, from one second to one year+, to support building and sharing of trends, CDI documentation support, quality reporting
• integration, development and deployment of near real-time risk scores and analytics into established workflows
• automated documentation of vitals, ECG strips, and event trends into the EHR