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 Provider (APP) 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