Allazo Health, a health IT company that developed a way to use predictive analytics to determine which patients are more and less likely to adhere to medication regimens, has inked a collaboration deal with Pharmacy Quality Alliance. The goal is to determine how to expand clinical care settings to include medication adherence metrics.
“One objective of this research will be to identify ways in which the adherence metrics can be harmonized with other existing metrics” to accountable care models to make measurable improvements in clinical outcomes, Woody Eisenberg, a senior vice president for PQA, said in the statement.
Another important objective of the research partnership is to assess the clinical and financial impact of increasing patients’ medication adherence across a range of clinical settings, including Accountable Care Organizations.
The PQA highlighted some of its priorities for developing adherence measures at the World Congress Summit on Specialty Market Access and Channel Optimization, according to Gastroenterology and Endoscopy News. They include non-infused biologic medications to treat rheumatoid arthritis and other inflammatory conditions, adherence to medications used to treat multiple sclerosis, Hepatitis C and oral oncology adherence measures.
Allazo Health’s program has two components. AllazoMAP sits on top of existing clinical medication adherence programs. It uses population data and predictive analytics to forecast individual patient adherence levels to each of their medications and ranks these patients based on priority. LIFT uses data from MAP to determine whether there needs to be an intervention with a patient and identifies the most cost-effective method.
The cost associated with complications from poor medication adherence are as high as $290 billion. Hospitals face reduced reimbursement for readmissions, particularly for chronic conditions, and that has spurred lots of collaborations with health IT companies to develop ways to better understand the complexities behind poor adherence and how to improve it across different patient populations.
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