Medical Group Analytics
Medical Group Analytics (MGA) delivers practice-based clinical and management analytics services to more than 2,300 providers and other professionals supporting the academic faculty’s practices within the School of Medicine (SOM). By integrating healthcare analytics with implementation science, we drive meaningful improvements in patient care and operational efficiency, advancing the clinical mission of University of Utah Health and benefiting the broader Utah community.
As part of the University of Utah Medical Group (UUMG) and SOM, we transform data into institutional value, accelerating insights through innovative analytics approaches. Our work is made possible through the collective support of SOM departments, reinforcing our commitment to delivering high-impact analytics solutions. Through data-driven insights, we empower providers to enhance patient outcomes, reduce costs, personalize care, and foster innovation. Collaboration fuels our success, and we continuously expand our clinical, research, and academic partnerships to push the boundaries of healthcare analytics.
Creating dialogue to improve the health of our community
There are many ways to engage with MGA's suite of data services.
Self-Service
Part of our Epic-first model is the promotion of guided, self-service applications available to University of Utah providers within our EHR client. These tools support high-level data exploration and feasibility analyses as solutions and sources of innovation directly within your clinical workflow.
Standard Data Delivery
Our team leverages existing data infrastructures to provide quick answers to questions that explore basic dimensions of a provider's practice or patient population. These requests are often the building blocks of actionable insights for their clinical practice.
Curated Data Delivery
We collaborate with project stakeholder groups through phased, iterative development to produce material outputs of advanced data science analyses and dashboard visualizations. Our deployment of enterprise governed metrics within your projects help drive value and improve outcomes.
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To help you navigate our different formats of data service delivery, we have provided a short list of examples from past work. Review the list below to get a sense of level of service you need based on your project's complexity.
Example Request to MGA
Self
ServiceStandard
ServiceCurated Service
Identify distinct populations of patients within my division or clinical specialty. ✔ Analyze operative trends over time within large Epic-related datasets. ✔ Monitor compliance with a postpartum venous thromboembolism prophylaxis protocol to adhere to national standards. ✔ Track patients with traumatic brain injury through the emergency department to monitor adherence to new clinical protocols. ✔ Monitor implementation of new team-based
processes to improve provider in-basket efficiency and burden.✔ Review Advanced Practice Clinicians (APC) workforce and trends in growth, employment length, internal/external transfers, and attrition over last 20 years. ✔ Integrate provider compensation data and national benchmarking to help standardize compensation practices and address pay gaps. ✔ Predict future physical function after surgery using machine-models to enrich preoperative physician-patient discussion. ✔
As a Medical Group, we are rising to meet emerging needs related to the transition to value-based care, personalized medicine, and broadened public involvement in shaping healthcare improvements.
- Data Science
- Machine Learning
- Predictive Modeling
- Business Intelligence
- Process Improvement
- Clinical Project Consultation
- QI Research
- Implementation Science
Our Team
Our analysts, data scientists, architects, and clinical consultants are inspired by the goal of improving patient lives and transforming health services for our community.
Our experience spans numerous sectors including transportation, retail, hospitality, higher education, tech, and research. We possess expertise in data science, data visualization, machine learning, process improvement, and more. Our tools are SQL, Python, Power BI, Tableau for data analysis and modeling, with deep investments into Epic Caboodle and Cogito certifications.
Our Collaborators
Collaborations across the analytics and strategic landscape produce optimal results for our School of Medicine partners and patients in the form of quality health services. Medical Group Analytics leverages partnerships throughout the organization whenever possible to ensure the highest quality outcome.
