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 data analytics, video capabilities, and artificial intelligence to provide actionable insights across high-acuity settings.
Key features of the OR Black Box include:
-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.
-Room State: Offers real-time operating room 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.

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.

MyEleanor changes everything. She defines Collaborative AI, a future for population health and care management. Eleanor is able to conduct clinical conversations with patients. She is engaging, compassionate and empathetic building a relationship of trust with patients. MyEleanor also remembers, so the patient isn’t burdened by start-from-scratch syndrome.

What’s more, Eleanor not only understands clinical content but is capable of advanced voice analytics, which means understanding not just what the patient says, but how they say it, detecting hospitilzation risk from the "music" of their voice.

Thanks to our pioneering Collaborative AI model, Eleanor immediately integrates into workflows and her conversations gather patient information unlike anything else in healthcare. It’s like finance suddenly gave you approval to hire as many people as you need to manage entire risk populations.

Backed by our proprietary data analytics engine, MyEleanor detects subtle changes in a patient's voice, listening not only to what patients say, but also how they say it. She can predict risk, triage patients, and send actionable information to care team members so they can spend more time doing what they do best: Caring for patients. 

MyndYou has developed the world’s most empathetic, fully-present, richly-communicative virtual care coordinator. MyEleanor is an AI-powered care navigator that is able to make thousands of highly personalized phone calls every day; transforming remote care management by overcoming the desperate shortage of skilled nursing staff. Allowing care teams to spend their time on more meaningful patient interactions – and assuring predictable care delivery.

We are a group of clinicians, technical experts, and innovators on a mission to pair simple but sophisticated technology and actionable data with a human touch to keep people safe, engaged, and healthy at home.

MyndYou’s award-winning AI-powered Care Assistant, MyEleanor, helps close care gaps, improve engagement, and extend reach to help high- and rising-risk patient-members thrive at home. 

The World Economic Forum selected MyndYou as of the 100 most promising

technology pioneers of 2021--companies that are shaping industries across a variety of sectors, including healthcare. Learn more: https://bit.ly/mytechP21. 

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. 

EHRs do not offer Collaborative AI technology

1. Ability to make outbound, proactive phone calls to engage patients in a dynamic, open-ended, empathetic conversation (for - on-average - 4 minutes) about their health and well-being.

2. Detect hospitilization risk by listneing to not only what patients say, but how they say it; uncovering hospitilization risk that go unnoticed by other technologies