Driving the behavioral change of patients through personalized and proactive intervention: AllazoHealth

Patient engagement is related to patient behaviour, since what people do in their everyday lives largely determines their health and their subsequent need for healthcare. The influence of patient behaviour on health outcomes can be observed across the entire disease state from preventing illness to the management of long-term chronic health conditions. Patients who are more engaged in their healthcare are more likely to have positive outcomes. Accountability for outcomes in healthcare is a shared responsibility between government, policy makers, providers, suppliers and patients. Traditional models have been provider-centric rather than patient-centered and have not considered the critical role patients play in their own care, which includes the determination of both the need for care and the outcomes of care. This influence of patient behaviour and other determinants of health on outcomes is evident from prevention through to the management of chronic, long-term illnesses. AllazoHealth is a machine learning company that focuses on driving the behavioral change of patients through personalized and proactive intervention. AllazoHealth partners with brands to improve patient adherence. AllazoHealth helps brands achieve impact by optimizing personalized engagement. The result: better patient outcomes and increased brand performance. AllazoHealth uses artificial intelligence to make a positive impact on patient adherence. AllazoHealth works with pharmacies to improve clinical outcomes and increase reimbursement from pay-for-performance contracts such as DIR. AllazoHealth uses artificial intelligence to improve individual patient adherence. AllazoHealth helps payers and PBMs increase effectiveness of patient engagement programs that focus on quality ratings such as Star and Medicaid measures.

Proactive Drug Review                                                                                                    

AllazoHealth’s artificial intelligence engine accurately predicts patient non-adherence. The result: personalized engagements that deliver increased persistence and better patient outcomes for pharmaceutical companies. By targeting individual patients based on their historical behavior and unique attributes, the AllazoHealth AI engine predicts the most effective engagement, personalized by channel, content, and timing. And the company’s artificial intelligence engine gets smarter over time, so your patient support program will continuously improve and deliver more value. Medication management is the process of evaluating drugs prescribed to a patient to ensure they’re taken properly. The ultimate goal of comprehensive medication management—which plays a vital role in modern healthcare—is to get the right drugs to the right patients at the right time. When medication regimens are optimized, everything from performance and patient outcomes to the overall cost of care improves. Of course, in order to optimize your regimens, you need the right checks and balances in place to carefully review drug utilization, identify and close gaps in care, and better manage costs. Let’s talk about the benefits of medication management. Proactive drug utilization review (DUR) is the ongoing evaluation of prescribing, dispensing, and using medication. The DUR process involves a comprehensive review of a patient’s prescription data and medical history before, during, and after dispensing. This allows room to provide feedback on prescribing habits and educate physicians.

Closed Care Gaps

According to the Academy of Managed Care Pharmacy (AMCP), effective medication management is an ongoing process that not only allows for the elimination of unnecessary drugs. Identifying and bridging gaps in care are other significant benefits of medication management. From lack of follow-up and poor communication to medical errors and non-adherence, there are a number of care gaps that can cause adverse events and hinder individual health outcomes. However, by proactively managing a patient’s medications, you can recognize potential risks—such as poor therapy initiation, which ultimately results in poor medication adherence. If patients aren’t filling their prescriptions, they certainly aren’t taking them according to their treatment plan. Leveraging data and analytics allows pharmacists, payers, and manufacturers to pinpoint potential care gaps and find ways to intervene early on, before any adverse events occur. For example, medication non-adherence can lead to worsening health conditions, prolonged hospitalization and readmissions, and even mortality. On the other hand, by proactively recognizing and closing gaps in care thanks to medication management, you can prevent the consequences of low therapy initiation, medication non-adherence, and other less-than-optimal scenarios.

Meet the leader behind the success of AllazoHealth

Clifford Jones is the Founder and CTO of AllazoHealth. Clifford has been driving the use of AI in patient engagement and outcome optimization for nearly a decade. Upon founding AllazoHealth, Clifford built an industry-leading predictive analytics engine which has won multiple awards and whose impact has been validated through multiple peer reviewed studies. Clifford led AllazoHealth through its formative years and has transitioned to the CTO role as AllazoHealth has grown.

“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.”