Remote Patient Monitoring: Selecting the Right Health Plan Members

February 14, 2018
Fred Rahmanian, Chief Technology Officer


Banner image of female doctor reviewing a patient chart.

Health plans are increasingly choosing to integrate remote patient monitoring into existing care management programs for chronically-ill patients. That’s because there’s a growing body of clinical research showing it works to improve outcomes and decrease unnecessary costs.

At Geneia, we validated these results for one of our health plan clients, and demonstrated improved outcomes and a 50 percent reduction in medical spend for members with a heart failure diagnosis. Specifically, the Geneia @HomeSM program:

  • Reduced hospitalizations: Hospital admissions declined 76 percent for monitored members and 31 percent for the control group.
  • Lowered costs: Per member per month (PMPM) medical spend was 50 percent less for monitored members.
  • Slowed disease progression: As measured by patient risk scores, the risk score of monitored members increased 29 percent compared to an increase of 58 percent for the control group.
  • Increased medication adherence: Pharmacy costs increased 18 percent for monitored members indicating a higher level of adherence to the care plan.
  • Improved member experience: Program participants reported an overall satisfaction rate of 96 percent.

Best Practices: Selecting the Right Chronically-Ill Health Plan Members for a Successful Remote Patient Monitoring Program

Given the investment health plans are making to create effective remote patient monitoring programs that replicate Geneia’s success in improving outcomes, member health and cost, it is critical to identify members best suited to this kind of care management intervention. Based on our experience working with health plans to implement and manage remote patient monitoring programs, we created a list of best practices for selecting the subset of chronically-ill members most likely to participate in and benefit from a program. 

Undoubtedly, the clinical assessment of members is vital, but increasingly so is the use of predictive analytics. At Geneia, we recommend using predictive analytics to not only select the base cohort but also to narrow the list to the most suitable members and to determine the most effective path for outreach to the identified members. 

To read our full list, I encourage you to download our best practices today.

Image of a care coordinator talking with a patient.


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