MLabs, the full-service reference laboratory division of Michigan Medicine, has signed a three-year agreement with hc1 Insights, a provider in identifying real-time insights and risk signals in complex laboratory data, to utilize its hc1 Performance Analytics solution.

In an effort to streamline analytic and reporting operations, the solution will equip MLabs to ingest lab data from disparate sources, such as laboratory, billing and hospital information systems, into a single, HIPAA-compliant and HITRUST-certified platform, MLabs says.

“hc1 shares a strong commitment to provide real-time decision-making power and develop solutions to help clients yield a competitive advantage in the marketplace,” says Michael Braverman, president, hc1 Insights. “hc1’s Performance Analytics will empower MLabs to measure the productivity and efficiency of the reference laboratory and support their commitment to meeting the challenges of personalized, precision medicine.”

How the hc1 Platform Functions

The hc1 Platform will be a single source system for MLabs, supporting data-driven decision-making in pre-analytical and post-analytical operations and a robust diagnostic management team. Dashboards and reports customized specifically for MLabs will provide clear visibility into testing capacity, volume impact to cost per test, test utilization, market penetration, quarterly business insights for clients, and monthly quality reports. 

“MLabs commitment to data driven decision making is streamlined with hc1’s solutions for laboratory operations, business analytics, laboratory utilization, length of stay impact from laboratory testing and sendout management. Our laboratories, including our affiliate laboratories at UM Health-West and Sparrow Health, will leverage hc1’s platforms to reach our long term goals to optimize the lab across Michigan Medicine affiliate sites by creating an overarching data repository allowing data transparency and analytics in support of our statewide network of clinical care,” says Julia Dahl, MD, MLabs.

Further reading: Data Analytics Could Prevent Pandemic Testing Bottlenecks