The Radical Efficiency Blog

The Power and Promise of Data and AI in Patient Services: A Personal Perspective

Written by Helen Smith | Mar 26, 2025 2:14:04 PM

Every patient’s journey is unique, yet the barriers they face—delays in treatment, administrative inefficiencies, and lack of personalized support—are all too common. AI and data-driven insights are not just improving operations; they’re fundamentally reshaping how we connect patients to the care they need faster and more effectively. 

I am the Vice President of Product Management for AI at CareMetx, leading analytics initiatives across our product suite. My passion for data began during my PhD and postdoctoral work in epidemiology at the University of Pittsburgh, where I studied disease patterns and outbreaks. I was fascinated by how data could reveal hidden trends and drive decision-making in public health. Analyzing patient populations, identifying risk factors, and predicting disease spread gave me a deep appreciation for the power of data in solving complex healthcare challenges. That early experience shaped my belief that data isn’t just about numbers—it’s about understanding human health in ways that lead to real-world impact. 

Transitioning from academia to industry was a pivotal moment in my career. At a large integrated delivery and payer system serving millions of Americans, I moved from analyzing controlled datasets of a few hundred or thousand patients to working with claims and electronic medical record (EMR) data at an entirely new scale—millions of records and patient lives. It was a dramatic shift that required rethinking how to extract meaningful insights from massive datasets. 

At this time in my career, data science was undergoing a revolution. Advances in computational power, data infrastructure, and scalable tools were rapidly expanding our ability to apply statistical methods to vast healthcare datasets. This convergence of technology and analytics allowed us to go beyond traditional study designs, enabling deeper, real-time insights into complex patient journeys. Machine learning, once experimental, began shifting toward operational use—driving real-time decision-making in daily workflows. These breakthroughs laid the groundwork for the AI-driven analytics we take for granted today, such as fraud detection and patient engagement chatbots. Yet, as transformative as those changes were, we are only beginning to unlock AI's full potential. The next wave—powered by more sophisticated AI, multimodal data integration, and real-time automation—will continue to redefine how we optimize patient care and operational efficiency. I’ve witnessed firsthand how these advancements are not just improving efficiency but transforming what is possible in healthcare analytics. 

After my time at a large integrated delivery and payer system, where I worked with millions of patient records, I transitioned to consulting in Real World Data and Evidence (RWD&E). In this new role, I worked closely with healthcare stakeholders, observing a recurring challenge: the need for timely, data-driven answers to critical questions, such as evaluating the effectiveness of specific therapy lines. Rather than relying on time-consuming, ad hoc analyses, I focused on developing scalable, scientific and AI-powered solutions that transformed raw data into actionable insights. By productizing our analytics capabilities, we created tailored tools that empowered decision-makers to access real-time, evidence-based intelligence without requiring deep technical expertise. This shift not only improved efficiency but also helped organizations make informed, data-backed decisions that directly impacted patient care. 

Now, in my role as Vice President of Product Management for AI at CareMetx, I focus on developing AI-powered data analytics solutions that enhance efficiency and personalization in the patient journey. By leveraging AI, we streamline critical administrative processes such as benefit verifications, prior authorizations, enrollments, and distribution—areas that often create bottlenecks in patient access to therapy.  Our AI-driven approach enables us to analyze vast datasets in real time, identifying delays and inefficiencies that slow down treatment initiation. By addressing key questions like, “How quickly can we start a patient on therapy?” and “What barriers are preventing access?” We provide insights that help optimize operations, accelerate care delivery, and ensure seamless treatment initiation by supporting faster payer approval and enhancing adherence and patient engagement throughout the treatment journey. 

AI also plays a crucial role in personalizing patient engagement throughout treatment. By leveraging AI-driven analytics, we can deliver tailored educational content, reminders, and encouragement to each patient based on their unique needs, disease state, risk factors, and predicted behaviors. This allows us to provide proactive, individualized communication at scale—guiding patients through their treatment journey without requiring constant manual intervention. By anticipating challenges and offering timely, relevant guidance, AI enhances patient adherence and improves health outcomes.  

However, while AI optimizes administrative processes and engagement, it cannot replace the human touch in healthcare. AI excels at processing large datasets, identifying patterns, and streamlining workflows, but patient care requires more than efficiency—it requires empathy, judgment, and personal connection. Skilled professionals play a crucial role in addressing complex situations, offering reassurance, and providing the support that AI alone cannot deliver. At CareMetx, we believe the most effective patient services strategy blends AI-driven automation with human expertise, ensuring that while technology removes barriers and reduces delays, compassionate professionals remain at the heart of patient interactions.  

As we continue to advance AI’s capabilities, CareMetx is committed to using it responsibly and ethically. By prioritizing transparency, fairness, and patient well-being in every solution we develop, we ensure that AI benefits all stakeholders—patients, providers, and payers alike. Thoughtfully integrating AI with human expertise in our Specialty Treatment HUB services allows us to drive innovation, streamline access to treatments, and ensure patients receive the personalized support they need at every step of their journey.