In 2018, Health Dialog launched a program focused on increasing medication adherence across a large Medicare Part D population. Machine-learning AI analytics (which incorporated prescription claims, condition information, social determinants of health, and other available data sets) were used to stratify the population. In addition, telephonic coaching was used to identify barriers to adherence and establish a personalized care plan to support intrinsic motivation and help patients overcome these barriers. This case study discusses the results of the program in its first nine months.
Home » eBooks, Case Studies & White Papers » The Impact of Predictive Analytics & Personalized Coaching on Medication Adherence
Error - something went wrong!
Most Recent Flipbooks
Diabetes Prevention and Care - Missed Opportunities in a Rural Population
How to Overcome 6 Common Barriers to Medication Adherence
The True Cost of Delaying Clinical Interventions - Diabetes
The True Cost of Delaying Clinical Interventions - Heart Disease
Our Care Pathways analytics identify members earlier and help deliver comprehensive clinical interventions. We analyzed c data by condition stage and population size to determine increase in savings.
The Roadmap to Medication Adherence: Six Critical Steps That Drive Adherence
Turning Patients Into Champions
Download our eBook to learn health coaching and engagement strategies that motivate behavior change, drive your patients to achieve their optimal health, and help you reduce the cost of care
Implementing Shared Decision Making at the Point of Care
Improving Medication Adherence
Delaying Disease Progression
A Clinical Approach to Population Stratification Analytics