Generative AI in Healthcare: From Automation to Patient Engagement and Relationship Building

Unlocking the Next Era of Patient-Centric Care

The healthcare industry is undergoing a profound transformation. While generative AI has already delivered significant gains in operational efficiency—automating documentation, streamlining claims, and optimizing workflows—its most exciting potential lies in redefining how patients engage with their health journeys. Today, generative AI is moving beyond the back office to the front lines of care, empowering patients, supporting clinicians, and building the foundation for long-term, trust-based relationships.

At Publicis Sapient, we believe that the future of healthcare is not just digital, but deeply human. Generative AI is the catalyst for this shift, enabling organizations to deliver personalized, accessible, and empathetic experiences at scale. Here’s how.

From Automation to Engagement: Generative AI Use Cases in Healthcare

1. AI-Powered Patient Education

One of the most persistent barriers to positive health outcomes is patient confusion. Medical jargon, complex treatment plans, and fragmented information can leave patients feeling overwhelmed and disengaged. Generative AI addresses this challenge by creating customized, easy-to-understand summaries of diagnoses, treatment options, and care instructions. These AI-generated materials can be automatically translated into multiple languages, ensuring accessibility for diverse populations and reducing health literacy gaps.

Conversational AI platforms can provide real-time answers to patient questions, clarify next steps, and offer reminders for medication or follow-up appointments. These digital companions are available 24/7, reducing dependency on call centers and ensuring that patients always have access to the information they need.

2. Multilingual and Inclusive Support

Healthcare is global, and patient populations are increasingly diverse. Generative AI’s ability to create content in multiple languages ensures that critical health information is accessible to everyone, regardless of background. This not only breaks down language barriers but also fosters trust and inclusivity—key drivers of patient satisfaction and engagement.

3. Digital Adherence Tools

For patients managing chronic conditions or complex treatment regimens, adherence is a critical challenge. Digital tools powered by generative AI can send timely nudges, track progress, and provide encouragement, all while adapting to the patient’s evolving needs. These tools can integrate with wearables and health apps, offering personalized recommendations and support that improve adherence, reduce hospital visits, and drive better long-term outcomes.

4. Conversational Interfaces That Foster Trust and Empathy

AI-powered chatbots and virtual assistants are streamlining patient support, from triaging symptoms to connecting individuals with mental health resources. These tools not only reduce operational strain on healthcare teams but also provide compassionate, immediate support to patients in need. Importantly, generative AI can be designed to demonstrate empathy, recognize context, and act as a trusted authority—attributes that are essential for building strong, high-quality healthcare relationships.

Building Relationships, Not Just Transactions

The true promise of generative AI in healthcare is its ability to move the industry from transactional interactions to relationship-based care. Patients want to be known not just for a symptom or diagnosis, but as whole individuals. Generative AI enables organizations to:

By automating routine tasks and delivering personalized, empathetic communications, AI frees up clinicians to focus on what matters most: building relationships and delivering compassionate care.

Real-World Impact: Measurable Outcomes

Healthcare organizations embracing generative AI for patient engagement are seeing tangible benefits:

For example, digital support tools powered by AI have led to significant reductions in emergency room visits for cancer patients and extended survival rates, demonstrating the profound impact of personalized, data-driven engagement. In another case, AI-driven platforms have improved medication adherence by over 40 percentage points and increased rehab attendance by more than 60 percentage points for cardiac patients.

Ethical Considerations, Data Privacy, and Human Oversight

Deploying generative AI at scale in healthcare requires a thoughtful approach to ethics and accessibility. Key considerations include:

Most importantly, the most sensitive or complex interactions still require a human touch. The most successful healthcare organizations design AI systems that augment, rather than replace, the clinician-patient relationship—using technology to free up time for high-value, emotionally intelligent care.

Why Publicis Sapient?

As a leader in digital business transformation, Publicis Sapient brings together deep healthcare expertise, advanced AI capabilities, and a proven track record of delivering patient-centric solutions. Our multidisciplinary teams partner with providers, payers, and life sciences organizations to design, implement, and optimize AI-driven experiences that put patients at the center.

Whether you’re looking to enhance patient education, streamline digital support, or build the next generation of personalized health tools, Publicis Sapient is your partner for holistic healthcare transformation. Together, we can unlock the full potential of generative AI to empower patients, improve outcomes, and build lasting trust across the healthcare ecosystem.

Ready to transform the patient experience? Let’s connect and reimagine what’s possible with generative AI.