PBM Uses Prescriptive Clinical AI to Reduce Medication Non-adherence and Improve Quality Ratings
Medication non-adherence contributes to approximately $300 billion in avoidable medical expenditures per year. Excluding fraud, that’s 30% of all waste in the healthcare system.
Estimates suggest that as many as three quarters of patients do not take their medications as directed. As a result, medication non-adherence contributes to $290 billion in avoidable medical expenditures per year. To raise adherence rates and bring these costs down, pharmacy benefit managers (PBMs) need to act at the root causes of non-adherence. Sometimes non-adherence is due to prescription-related factors, such as negative side effects. In other cases, social determinants of health, such as low health literacy or access to a pharmacy, are the culprit. To address these risk factors in their member population, one PBM with 20 million members turned to the prescriptive clinical artificial intelligence of the Jvion CORE™.