skip to Main Content

Our Technology

Harnessing Artificial Intelligence to Change Patient Behavior

Harnessing Big Data To Improve Adherence

The AllazoEngine™ combines behavioral sciences and machine learning to predict which patients are at-risk for specific clinical outcomes like medication non-adherence.

The AllazoEngine first incorporates claims data, patient demographics, coverage eligibility, and past intervention data.

DATA AGGREGATE

The AllazoEngine first incorporates claims data, patient demographics, coverage eligibility, and past intervention data. The system is able to leverage customer data as well as data from 3rd parties. Once the data is collected, the AllazoEngine then normalizes the data to enable the machine learning processes.

The AllazoEngine™ then runs proprietary algorithms to enrich the data by calculating hundreds of additional variables

CALCULATE

The AllazoEngine™ then runs proprietary algorithms to enrich the data by calculating hundreds of additional variables, such as the level of synchronization across multiple medications and complexity of dosing regimen – factors that have been proven to be predictive of medication adherence behaviors.

The machine learning models used in the AllazoEngine™ have been trained across millions of patients and hundreds of millions of data points

PREDICT

The machine learning models used in the AllazoEngine™ have been trained across millions of patients and hundreds of millions of data points to accurately and reliably correlate thousands of data variables with levels of adherence. Collectively these models provide a robust prediction for each individual patient’s risk of being non-adherent in the future. The AllazoEngineTM also predicts each patient’s likelihood of being influenced by various outreach channels and messages.

Our technology prioritizes patients

PRIORITIZE

Based on these predictions, AllazoHealth prioritizes the patients who are both at risk of becoming non-adherent and whose behaviors can be changed through proactive interventions. This cuts out unnecessary and often burdensome patient outreach to streamline your intervention strategy. Furthermore, interventions are much more successful when intervening proactively with at-risk patients instead of waiting until patients become non-adherent.

The AllazoEngine™ combines behavioral sciences and machine learning to predict which patients are at-risk for specific clinical outcomes like medication non-adherence.

OPTIMIZE

While knowing who to intervene with is important, knowing how and when to intervene is just as critical. The AllazoEngine™ predicts the impact of multiple intervention channels and messages to select the most ideal combination for each individual patient.

With time, the AllazoEngine™ becomes more in-tune with and nuanced to the specific population of each client.

LEARN

With time, the AllazoEngine™ becomes more in-tune with and nuanced to the specific population of each client. In other words, as more interventions are delivered and patient behaviors analyzed, it becomes even better at delivering the right intervention, to the right patient, at the right time.

WHO WE HELP

Pharmaceutical Companies - AI

AllazoHealth partners with brands to improve patient adherence. We help brands achieve impact by optimizing personalized engagement. The result: better patient outcomes and increased brand performance.

AllazoHealth helps pharmacies increase medication adherence

AllazoHealth uses artificial intelligence to make a positive impact on patient adherence. We work with pharmacies to improve clinical outcomes and increase reimbursement from pay-for-performance contracts such as DIR.

AllazoHealth helps payers and PBMs increase medication adherence

AllazoHealth uses artificial intelligence to improve individual patient adherence. We help payers and PBMs increase effectiveness of patient engagement programs that focus on quality ratings such as Star and Medicaid measures.