Measuring to Drive Continuous Improvement in Digital Health Management
By Mohammad Jouni
Mohammad Jouni, MS is is vice-president of engineering for Wellframe of Boston, MA.
As health plans implement digital health management solutions to support the comprehensive needs of people outside the four walls, measurement is an increasing priority in order to quantify every aspect of the business and demonstrate tangible value. But measurement can also enable organizations to continuously identify areas for improvement, implement changes, and measure the effect.
The following examples are tangible ways data-driven improvements can take place from the individual patient level up to the executive board room.
Real-time interventions. A care manager noticed one patient’s falling medication adherence and reached out to ask about the issue. The patient explained she didn’t take her pills when she traveled on the weekends. The care manager mailed a new pill box, and her patient’s medication adherence rebounded to normal.
Daily improvements. Population reports indicated low comprehension of safe acetaminophen dosage. This finding, combined with the risk of misunderstanding medications, prompted a change in health education delivered directly after discharge to focus on safe dosing, resulting in an increase in patient-reported level of understanding.
Weekly staffing optimizations. Supervisors reduced the number of care managers focused solely on outreach for gaps in care when they noticed low patient satisfaction compared to a population in which care managers worked with patients more holistically, closed gaps more effectively, and saw higher satisfaction.
Monthly outreach adjustments. Claims and patient self-reports revealed falling attendance at PCP appointments. Care managers addressed this issue by switching to mobile channels to contact members before appointments and increase the frequency of reminders. Attendance rebounded to a higher rate than the baseline.
Quarterly care team reassignments. With newly-implemented technology, supervisors recognized tech-savvy staff early on and embedded them among less adept peers to share their tactics, bringing the whole group up to speed faster and with more camaraderie.
Yearly reinvestment in health management. After showing thousands of dollars in cost savings per member, executives increased the budget for health management to support increased recruitment efforts and extend health management services to more members in order to double down on those results across a broader population.
When your organization measures rigorously to demonstrate effectiveness and to continuously improve, executives will pay attention. Leadership will be able to not only justify increased investment to grow digital health management programs even further, but also apply the same data models to effectively predict the return on additional funding.
Ultimately, measurement allows health plans to make data-driven decisions that elevate the stature of care management from baseline requirement to strategic value center. In doing so, health plans will be able to amplify the effect of their programs and extend services to more members, doing incrementally and continuously better by each member.
Achieving these goals creates new opportunities to focus on member support by strengthening provider partnerships, differentiating to employers on service and outcomes, and driving retention and new sales. Through rigorous measurement and continuous improvement towards these goals, health plans are poised to quantify impact and capture significant value from the powerful data of digital health management.