The article argues that artificial intelligence can address long standing challenges in the U.S. healthcare system, from diagnostics and clinical documentation to patient engagement, but stresses that the sector’s fragmentation, complexity and data sensitivity make broad implementation difficult. Drawing on Prophet’s global artificial intelligence survey and interviews with artificial intelligence focused healthcare leaders, the authors focus on where consumers see the most value and what organizational conditions are needed to realize it ethically. Consumers across generations say they want artificial intelligence tools that personalize their experience, help with health monitoring and proactive advice, and save time and money, yet they also insist that clinicians remain the final decision makers and that technology should not monitor them without their control.
From these findings, the authors define three major opportunity areas along the patient journey: guiding care, personalizing care and extending care. Guiding care focuses on navigation tools that reduce system complexity for patients who struggle to find providers, resources, pricing and payment clarity, often without access to a human guide. In 2024, nearly two-thirds of physicians used artificial intelligence for documentation, diagnosis, and care planning, and the article notes that patients now need comparable artificial intelligence support to save time and effort. Leaders see potential in starting with narrow, artificial intelligence driven applications to alleviate specific pain points, then expanding to tools that synthesize data, surface options, and empower patients to make clearer decisions on providers, treatments and costs.
The second opportunity, personalizing the experience, positions artificial intelligence driven personalization as key to humanizing care in a system that has not met consumer expectations. When integrated transparently into care delivery, artificial intelligence can equip providers with comprehensive health reports, patients’ questions and personalized therapeutic options so individuals feel known and understood, while keeping decision making with clinicians to preserve trust. Outside the clinic, artificial intelligence powered platforms and assistants from companies such as Twin Health, Televox, Luma Health and Klara can deliver real time personalization that better fits language, lifestyle and access needs. The third opportunity, extending care, looks at artificial intelligence tools that augment remote care for chronic and ongoing needs, from prospective monitoring of lifestyle risks and adherence to more orchestrated, responsive support, citing Teladoc Health’s intervention focused artificial intelligence model and Verily’s Onduo virtual care platform as examples of moving beyond earlier remote models.
The article then turns to what it will take to deliver these opportunities, arguing that success depends on organizational strategy, governance and culture as much as on data infrastructure. Under the “DNA” banner, the authors call for a consumer backed strategic vision that clearly defines how artificial intelligence will enhance the patient experience, with specific goals and use cases aligned to patient and provider needs and to confidentiality and trust. For the “body,” they emphasize strong artificial intelligence and data governance to unify accountability, transparency and security, extend oversight to caregivers, monitor model behavior for fairness and accuracy, identify gaps in underserved populations, and clarify liability structures, supported by multidisciplinary teams including data scientists and IT professionals. For the “soul,” they highlight employee engagement and cultural adoption, recommending plans that bridge executives and frontline staff in planning and decision making to build trust and reduce resistance.
In closing, the authors note that healthcare organizations face a difficult mix of legacy systems, siloed teams, burnout and regulatory pressure alongside growing expectations to adopt compliant artificial intelligence tools that meet consumer needs. They argue that the most differentiating moves will focus on improving the patient experience while respecting autonomy and building trust, and that coupling this focus with the right strategic vision, governance and cultural change can unlock sustainable value. Done well, healthcare leaders can steward artificial intelligence adoption in ways that are not only compliant but also compassionate and human centered.
