• Without clear insights, uncovering the right members to target is an art more than a science
  • Difficulties in getting their members enrolled in wellness programs
  • Not being able to see the ROI of the programs and cannot identify members with future risks
  • We took two years worth of data to analyze and uncover chronic conditions and co-morbidities in the member population. We identified the top seven chronic conditions for the employer as well as calculated individual risk scores for each member, plus a trajectory for future risk and costs, seeing 6-7 times the number of people with multiple chronic conditions in their population along with gaps in care and their future risk scores.
  • We were able to filter a thousand members that were not enrolled and identified prime candidates for the program. This data is being used to craft targeted campaigns to enroll new users into the wellness programs.

Here’s an example of how we identified the prevalence of top diseases in the population:


  • There’s an increase in members under the mental health disorder category including affective psychosis, depression and eating disorders. Obesity has shown 46% increase – this is alarming, as it is anticipated to influence future growth in diseases of the vascular axis (like CAD, CHF) and should be targeted to positively impact long-term outcomes.
  • The outcome of understanding the prevalence of disease was helpful in tailoring wellness or coaching protocols.  Certainly, from a disease management perspective, it was relevant to understand what could be managed medically, and what could be managed by keeping members compliant with medications, screening, and other interventions that can help manage or reduce the incidence of the disease.
  • We were able to improve enrollment by 50% and increase outreach through telephonic conversations and messages
  • The client was able to enroll more members
  • Provided support to get as many members enrolled into wellness programs through our outreach program (text, email, and letter) and to drive change
  • Suggested age-appropriate screenings, enrollment for diabetes program and finally to closely monitor inefficient use of healthcare services