success story

ConcertoCare

Reduced hospitalizations among high-risk populations with predictive analytics

Measurable Impact

ConcertoCare’s innovative population health analytics, powered by MedeAnalytics, substantially reduced hospitalization rates below the national averages for its Medicare patients.

Reduced ER visits by
%
Reduced admissions by
%
Reduced readmissions by
%

The story behind the numbers...

The Challenge

ConcertoCare (previously called Concerto Health) came to MedeAnalytics with a few central business objectives:

  • Address vulnerable populations
  • Reduce hospitalizations for target groups
  • Segment population groups for effective care management.

They also had big goals for growing analytics and reporting capabilities, including determining "impactable" populations for interventions, aggregating data for patient stratification and cost analysis, and obtaining actionable insights about vulnerable patient populations.

About ConcertoCare:

  • Leading, risk-bearing provider of field-based complex care for vulnerable populations
  • Delivers high-touch, individualized care
  • Uses predictive analytics to identify high-risk and rising-risk patients for in-home care delivery
  • Addresses the social determinants of health, including transportation, social isolation, cognitive impairment, behavioral health and palliative care
  • Headquartered in Aliso Viejo, CA

“As a risk-bearing provider organization, we’ve had to evolve our care model and analyze data in such a way that we could be responsible for full global risk.”

Brian Davis

Senior Vice President, Clinical Operations

patient-risk-dashboard

The Solution

MedeAnalytics’ Population Health solution enables ConcertoCare to stratify risk and to assess cost and utilization patterns in the population to identify appropriate areas for intervention. More specifically, they:

  • Use predictive analytics to impact the most complex 5% of the population and address rising risk in up to 20% of the population.
  • Proactively look at Cost and Utilization patterns to identify and prioritize care and interventions for the patients who are the most vulnerable and most at risk.
  • Categorize data by assigning Adjusted Clinical Groups (ACGs) to each patient based on morbidity, age and sex.

“We were able to significantly decrease unnecessary utilization for an entire population with MedeAnalytics’ predictive analytics.

The insights allow the ConcertoCare home-based care team to intervene with patients to slow down disease progression and keep them safely out of the hospital, while uniquely addressing their myriad of complex care needs.”

Dr. Chris Dodd M.D.

Chief Clinical Officer

More about ConcertoCare:

article

How predictive analytics can improve patient care and health outcomes — 4 takeaways from ConcertoCare and MedeAnalytics

press release

ConcertoHealth Uses MedeAnalytics Predictive Analytics to Guide Patient Interventions, Generate Savings

webinar playback

Now on demand: ConcertoCare webinar

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