Epic dominates healthcare records management, and it’s not slowing down. But while Epic is a critical tool, rising patient expectations are beginning to outpace what even the best Electronic Health Record (EHR) systems were designed to deliver across the patient journey.
Today, patients expect personalized and seamless experiences, whether that be ordering from Amazon or booking a Delta flight. Healthcare is no different. But EHRs like Epic were built to manage clinical, scheduling, and financial data, not to orchestrate patient engagement across the care journey. EHRs need a complementary layer that turns clinical signals into timely engagement and coordinated patient action.
AI can be that partner.
By layering AI onto existing EHR systems, healthcare organizations can coordinate communication across the care journey and prevent patients from falling through the cracks, while helping care teams serve patients more effectively. Better engagement leads to better care, and better care means higher patient satisfaction.
The Engagement Gaps
This engagement gap isn’t theoretical—it’s showing up in data. A recent Becker’s Health IT report highlights a disconnect between Epic’s capabilities and what patients and care teams need to sustain meaningful engagement. While healthcare organizations value Epic’s core functionality and newer MyChart features, more than a third say it isn’t meeting all their patient engagement needs.
The gaps impact more than data access or record accuracy—they’re affecting operations. Organizations cite limitations in outbound communication, patient education, and feedback collection—areas that directly drive no-shows, delayed care, and staff burnout. These shortcomings create friction across the patient journey, from referrals and scheduling to follow-ups and billing.
To address the gaps between EHRs like Epic and growing patient expectations, healthcare organizations are turning to AI-driven engagement layers that orchestrate communication across the patient journey. Rather than replacing EHRs, AI engagement layers activate EHR data and translate clinical signals into coordinated patient engagement, triggering outreach, personalizing communication across channels, and seamless engagement across multiple steps in the patient journey.
By addressing these gaps with AI, healthcare organizations can move beyond passive portals and manual workflows toward proactive, scalable engagement. The result is not just better communication, but measurable improvements in retention and patient experience.
AI in Practice: Turning Engagement Into Outcomes
AI directly addresses each of these operational gaps in ways that EHRs alone cannot.
For outbound communication, AI automates appointment reminders, pre-visit instructions, and follow-up messages across patients’ preferred channels—whether text, email, or phone. For patient education, conversational AI answers routine questions in real-time, providing personalized guidance without requiring staff intervention. And for feedback collection, AI systems gather and analyze patient responses continuously, identifying patterns and friction points that would otherwise go unnoticed.
These AI capabilities are already making a measurable difference. Organizations are deploying generative, conversational, and agentic AI to analyze patient interactions and turn them into actionable insights. The payoff? More streamlined, personalized patient experience—and less burned-out staff.
Research shows agentic AI can cut staff cognitive workload by 52%, reduce hospitalizations and healthcare costs, and improve outcomes. One healthcare revenue cycle outsourcer used AI to automate more than 12 million transactions, streamlining financial clearance and registration and reducing calls and no-shows. This AI-powered automation saved the organization $35 million.
But the real transformation goes beyond dollars saved. These AI tools personalize patient journeys by meeting each person in their preferred channel and language. Agentic AI identifies friction points across the patient journey, predicts the next best action, and coordinates communication before and after key care events.
At the same time, automation handles the routine, repetitive tasks, freeing staff to focus on the complex work that requires human empathy, judgment, and expertise. By offloading administrative interactions to AI, organizations reduce staff burden while strengthening patient communication and engagement.
Tips to Modernize Engagement Without Disruption
So, with all these proven benefits, how should organizations approach AI adoption thoughtfully?
The potential is clear—but successful AI integration requires careful planning. Healthcare faces unique challenges in adopting AI systems. As organizations add AI engagement layers that orchestrate patient communication alongside their EHRs, they need to make sure these tools comply with healthcare’s strict privacy regulations. That’s why it’s crucial to partner with AI vendors who already know this regulatory landscape inside and out, and who’ve built compliance into their tools from day one.
That means from the beginning, AI tools—specifically agentic AI—should be purpose-built for EHR integration. Start your AI search by getting crystal clear on your goals. What outcomes do you hope to achieve? What do you want to accomplish? Once you’ve answered that, work backwards to find AI systems that’ll deliver those exact outcomes—without the typical disruption of adopting new technology.
Throughout this process, trust is everything. Your staff needs to trust that AI will actually make their jobs easier and more effective. And patients need to know these tools are working for them, not just the system.
Closing Engagement Gaps with AI
As patients demand the same seamless experiences they get from Amazon or Delta, healthcare organizations will continue to turn to AI. The next evolution of patient engagement centers on AI engagement layers that coordinate interactions across the patient journey, so every step of care feels connected. When the care journey improves, patients get what they need when they need it. Follow-up appointments are scheduled more easily, questions are answered sooner, and care teams stay connected with patients throughout the journey.
At the end of the day, patient engagement metrics reflect one simple thing: whether people can access care when it matters most.
Matt Whitmer
Matt Whitmer is Chief Revenue Officer and Senior Vice President of Marketing of WestCX, overseeing the Mosaicx and Televox brands within West Technology Group. In his role, Whitmer leads a team focused on serving enterprise clients as they embrace and implement Mosaicx' cloud-based solutions to revolutionize client engagement with conversational AI. He also sets healthcare leaders up for success with Televox's solutions, connecting them with the industry’s most powerful AI-enabled patient relationship management platform. Throughout his work, Whitmer plays a central role in fostering strong partnerships that generate high-quality leads and ultimately increase revenue.
