Artificial Intelligence (AI) has the ability to fundamentally transform healthcare. Its deployment in patient support programs demonstrates the potential of this advanced technology in promoting healthy behaviors, ensuring the adherence of prescribed medications, and encouraging proactive self-management, all contributing to improved patient outcomes. Technology highlights how AI-enabled patient engagement is reshaping medication adherence programs.
Traditional views on patient engagement follow the belief that to inspire engagement, healthcare providers need to reach out to as many patients as possible, gathering as much data as possible. However, this approach is proving not to be just inefficient but also ineffective given that each healthcare consumer is unique. Taking a generalized approach to patient interaction often misses the mark. AI technology advancements are shifting this perspective as healthcare providers can focus on targeted patients who need the most support and personalize their outreach for optimal results.
The strategic use of AI enables health organizations to harness large data sets from a variety of sources (including medical claims data, consumer behavior data, social determinants of health, and historical program data). This helps to predict patients who are at risk of medication non-adherence or therapy gaps. AI also assists in identifying high-risk patients who would benefit most from an intervention.
AI enables healthcare organizations to make informed decisions regarding patient outreach by targeting patients with significant potential for behavior change. In leveraging data-driven insights, patient outreach can be prioritized, and omni-channel campaigns can be fine-tuned. Furthermore, the optimal frequency and timing for these communications can be determined.
AI also helps to personalize interventions for improved outcomes. AI learns and predicts the best approach to positively influence a patient’s behavior. Though in-person and phone interventions were previously common, texting, emails, web chats, direct messaging, video calls, telehealth, and in-person visits are being increasingly adopted in omni-channel patient engagement strategies.
Such personalization allows organizations to identify patients who will benefit more from high-touch intervention methods or more cost-effective channels like text messages or apps. The efficacy of the intervention not only hinges on using omnichannel technologies but also on determining the optimal messaging strategy.
By delivering personalized engagements at the right time and through the right channels, AI helps to correctly predict and determine key factors— who to engage, where to interact, when to reach out, and what to say to encourage a more active role in their own care. This level of precision and customization leads to more effective patient engagement, all made possible through AI.
Companies like AllazoHealth, offering AI technologies, aim to enhance patient engagement, improve the effectiveness of support programs, and bolster patient health outcomes. Their AI enables healthcare and pharmaceutical companies to provide the most effective engagement and impact patients’ health positively.