Health Research Implementation Services
Our health research implementation services are available to all U-M researchers who have developed models in need of prospective validation, systems integration and pilots/trials.
Building a machine learning model or an LLM tool is the first step in the journey of testing your research at Michigan Medicine. You’ll need help integrating it with the data and resources available at Michigan Medicine to prepare your innovation for pilots and/or trials. We have the systems, processes, and expertise needed to help move your research forward!
Jump to a Service:
Implementation Consultation | Prospective Data | Systems Integration
Early Implementation Consultation
We are available to meet with you early in your research to help plan for integration.
The AI & Digital Health Innovation Research Implementation Team consults with researchers to understand their models, the expected impact of their models, identify potential challenges with translating their model prospectively and determine how to overcome those challenges. We also provide support for writing research implementation services into proposals to enhance grant proposals.
For more information, contact:
Phil Jacokes, Managing Director,
AI & Digital Health Innovation
“AI & Digital Health Innovation is playing a key role in guiding clinical workflow implementation for AI models at Michigan Medicine, providing expertise that helps deliver our innovative research to the bedside where it can have a positive impact on patients.”
Steven Kunkel, PhD
Executive Vice Dean for Research, Medical School
Chief Scientific Officer, Michigan Medicine
Peter A. Ward Distinguished University Professor
Prospective Data Integration
We deliver real time health data from Michigan Medicine to our researcher’s AI models for prospective model validation.
Our Research Implementation Services Team will help you determine the best way to integrate your model with the appropriate data pipelines for prospective analysis. These same pipelines can be used to deliver your pilot/trial.
For more information, contact:
Phil Jacokes, Managing Director,
AI & Digital Health Innovation
“The MPrOVE team developed the Ambulatory Surgery Center (ASC) model to predict if each specific surgical case is appropriate for surgery at an ASC. Precision Health provided the technical skills and expertise needed to supported prospective model validation. They are amazing partners helping the digital health research community apply practical solutions to the challenges of clinical teams.”
James Henderson
Assistant Research Scientist
Internal Medicine
Systems Integration
AI & Digital Health Innovation is a trusted services partner for testing models within Michigan Medicine.
Bringing a research tool or AI model into existing clinical or research infrastructure is often where promising work stalls. Our team helps researchers navigate the technical and operational requirements of integrating their tools with platforms already in use across Michigan Medicine including MyChart, U-M GPT, REDCap, and more — so your work can move from a standalone prototype to something that functions reliably within existing workflows.
For more information, contact:
Phil Jacokes, Managing Director,
AI & Digital Health Innovation
“AI & Digital Health Innovation guided me through the steps needed to develop a clinical trial within Mott’s Children’s Hospital. Their understanding of the workflows, governances, and systems needed for the clinical trial were essential to were essential for accelerating the PICTURE Pediatric trial.”
Sardar Ansari, PhD
Assistant Professor, Emergency Medicine