How Smart Data Can Optimize Your Patient Support Programs

Patient Support Programs

These days, nearly everything is driven by data in one way or another. Data empowers us to make better, more strategic decisions in many areas of life. Now, we are seeing more and more how smart data can help personalize programs and services to achieve more optimal results—or, as far as healthcare is concerned, better-quality performance and more positive patient outcomes.

In this article, we break down how smart data can custom-tailor and optimize evolving patient support programs.

First Things First: What Exactly Is ‘Smart Data’?

Healthcare is certainly no stranger to data. Today, a number of large, varied datasets can help drive care decisions and deploy more effective, efficient interventions. Data-driven patient support programs not only save time, money, and resources, but also equip health plans with insights to improve medication adherence and achieve desired outcomes.

The data used to optimize patient support programs is available from many different sources, including program history (e.g., pharmacy and medical claims data), social determinants of health (SDOH), and consumer behavior.

OK, but that all just sounds like data. What makes it smart?

Artificial intelligence (AI) is what separates regular data from smart data. AI is now being used to deploy more effective patient interventions. Using the power of machine learning and predictive analytics, advanced AI gets smarter over time, continuously learning from new data and using those insights to personalize interventions for better results.

How Smart Data Enhances Patient Support Programs

Historically, patient support programs managed by pharmaceutical companies have been rules-based. In other words, in the past, most patient support programs have relied on predefined business rules to deliver the same message to all patients at once. These interventions were tested, evaluated, and adjusted to try and adapt them—but the reality is that such efforts are ineffective and outdated.

Because no two patients are the same, a one-size-fits-all approach doesn’t cut it when trying to influence behavioral change. That’s where smart data and personalized interventions come into play. Using AI, pharmaceutical stakeholders can optimize their patient support programs by:

  • Targeting high-risk patients more precisely: Target your outreach based on each patient’s specific level of risk for medication non-adherence and other gaps in care, as well as their likelihood of being influenced with an intervention.
  • Determining the best intervention channels: Implement an omnichannel patient engagement strategy that includes several preferred communication channels, such as texts, chats, direct messages, emails, videos, and phone calls.
  • Optimizing messaging, timing, and cadence: Optimize outreach messaging, timing, and cadence for each individual, rather than sending the same message at the same time to every patient in a support program.

Why Smart Data Is the Way of the Future in Healthcare

Reimagined patient engagement programs powered by smart data are the way of the future. Instead of wasting valuable resources on cookie-cutter efforts that cost a great deal of time and money but never truly deliver, AI can help customize outreach for each patient by channel, content, and timing.

Plus, AI engines like those at AllazoHealth keep learning and evolving as more interventions are deployed and more data is assessed. That’s why it’s the best way for pharmaceutical companies to achieve their goals of improving quality performance and patient outcomes—all while bringing down costs and increasing efficiency.

If you’re looking for ways to improve patient engagement and optimize medication use for better health outcomes, AllazoHealth can help. Schedule a demo of our AI engine to see what smart data can do for your business.