Environment for Model Maintenance, Integration and Tuning (EMMIT)

  The EMMIT software platform provides a framework for hosting, integration, testing, and monitoring of machine learning models in a healthcare setting.

Value Proposition

Integrating machine learning models and predictive analytics with a hospital environment is difficult. Data flowing in and out of the model can become a black box with no way to monitor if the models are operating or data transfer is effective. EMMIT is a platform for hosting any number of unique models (or even multiple versions of the same model) and helping to deploy them within an EHR system (i.e., Epic, Cerner). EMMIT then provides operational monitoring (uptime, alerts, error reporting) to teams who would otherwise have no insight on the status of their software.

Associated Products

The FDA has declared an urgent need for improved model performance monitoring in AI/ML-based health analytics. The Model Performance Diagnostics Suite features a visual interface that detects and alerts to declines in model performance and drift and provides true performance estimates. It can be connected directly via an EHR or with EMMIT.

Competitive Advantage

Sidestep ECCP integration time and interface directly with Epic via EMMIT
Provides access to information on data flowing into/out of the models
Improves model uptime with monitoring and alerts
Enables prospective analysis for researchers
Facilitates simplified, real-time A/B testing for model comparisons

Unique Features

Local or cloud-based operation
Hosts multiple models simultaneously
Modular add-ons in development to address future regulatory and maintenance requirements

Emerging Products have high confidence for commercial viability and will be ready to license in 1-2 years

Project Leads
Sardar Ansari, PhD
Joseph Blackmer

Licensing Manager
Drew Bennett

Intellectual Property
Invention Disclosure # 2024-052

INDUSTRY OPPORTUNITY
Typical model integration with 3rd party EHRs removes the ability to see the flow of data going in and out, leaving teams in the dark when it comes to the maintenance of their analytics. EMMIT removes the black-box style integration for models and analytics that work within Epic and other EHR systems by delivering operational monitoring dashboards to ensure systems are working as expected. Please contact the Licensing Manager, Drew Bennett, for more information.

Funding History

$121,563 in non-dilutive funding

$121,563 2022 MTRAC Grant
Substantial (additional) departmental, school and center based support

Completed milestones

Architecture and Design
Prototype development and testing
Operational Monitoring and visualization through Grafana
U of M integration with Epic/MiChart, full integration with U of M Infrastructure