Objective

Determine the correlation between adherence to medication and increased longevity in patients, then leverage this insight to create risk scores for insurers. 

Overview

In light of the growing prevalence of chronic diseases, there’s been an intensified focus on how patients comply with prescribed medication regimes.

With an ambition to ascertain if medication adherence could serve as a predictor for mortality risk, a prominent patient adherence company, boasting collaborations with over 500 pharmacies and nearly 30 pharmaceutical entities, teamed up with a census data provider:

• Patient Adherence Company Dataset: This dataset originated from a patient adherence company which had collaborations with a vast network of pharmacies and pharmaceutical clients. The primary content of the dataset was information on the adherence to medication by patients, essentially capturing how consistently patients were taking their prescribed medication.
• Data Bureau Dataset: This dataset was sourced from a data bureau. Its primary content was demographic and lifestyle data of the population, including vital statistics such as mortality or death records. This dataset would be able to indicate which individuals had passed away over a given period.


When the two datasets were overlapped using Omnisient’s Crypto-IDs, it allowed the researchers to identify the patients from the adherence dataset who had been marked as deceased in the census dataset.