Insights
How AI and SDoH are redefining healthcare: A road map to whole person care
Healthcare leaders, innovators, and clinicians came together to examine how whole person care and social determinants of health, often referred to as SDoH, are reshaping the future of equitable care. The discussion made one point clear. Health outcomes depend on more than clinical treatment. They are shaped by access to stable housing, nutritious food, reliable transportation, digital connectivity, and the social support systems that surround each individual.
As the industry adopts data-driven models and AI in healthcare, the challenge is to ensure that these tools accurately reflect the full range of patients' lived experiences. From AI-driven patient engagementto healthcare call center transformation, organizations are reimagining how technology can strengthen trust and improve access across every touchpoint. Whole person care demands that technology not only extend reach, but also restore connection—bridging equity, empathy, and evidence in every interaction.
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Understanding whole-person care in modern healthcare
Achieving healthcare equity begins with seeing patients as individuals shaped by far more than clinical data. Too often, representation in healthcare remains limited across care models—and even in the algorithms designed to improve them. When datasets fail to capture the diverse realities of patients, digital tools risk reinforcing the very inequities they aim to address.
Whole person care offers a broader, patient-centered care framework. It recognizes that a patient's health is deeply connected to social factors, such as housing stability, access to food, transportation, and neighborhood safety. These social determinants of health (SDoH) are not peripheral but foundational to understanding why outcomes differ across populations and how systems can deliver more equitable care.
According to the World Health Organization's World Report on Social Determinants of Health Equity, "Unacceptable gaps persist in how long people can expect to live healthy lives, depending on the communities in which they live. The social determinants of health equity have a powerful influence on these avoidable and unjust health gaps."
At the same time, inequities in coverage and access can affect how patients are treated, leading to inconsistent standards of care. Closing those gaps requires a shift toward inclusive healthcare and democratized health data that flows transparently between systems and patients, empowering individuals to participate in their own care.
Real equity emerges when the healthcare ecosystem translates representation into actionable data and community-level insights, ensuring that every patient's story informs how care is delivered.
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AI and technology in whole-person care
Turning the vision of whole person care into reality requires connecting data across clinical, social, and community systems. Many health organizations are now doing just that—integrating AI into care delivery to translate social insights into actionable strategies that support patients and communities.
Digital health solutions, such as advanced electronic health record (EHR) platforms, are increasingly embedding social care modules that enable clinicians to screen for needs, including food insecurity or housing instability, particularly within Medicaid populations. These insights help care teams understand what's preventing patients from attending appointments or adhering to treatment. Some of the most effective programs focus on specific, measurable challenges. For example, reducing missed visits by tracking changes in a patient's address or transportation access.
Beyond individual interventions, health data analytics tools, such as geospatial and census-track mapping, help health systems target resources at the community level. The Childhood Opportunity Index, for example, reveals where environmental or social stressors may limit health outcomes, guiding investment in local programs. Similarly, initiatives aimed at digital inclusion, such as providing Wi-Fi in public housing, show promise but also highlight a deeper truth: technology alone cannot bridge the gaps in trust or accessibility.
Technology enables scale—but its true value depends on how inclusively and responsibly that technology is designed.
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Bridging the digital divide with AI and accessibility
Artificial intelligence is reshaping how clinicians and patients connect—advancing whole person care and improving patient care through greater accessibility and insight. Yet even as AI transforms how clinicians and patients connect, equitable access remains the defining challenge.
Major EHR vendors, including Epic, are embedding AI-driven assistants and predictive analytics directly into their platforms to help clinicians identify at-risk patients and streamline documentation. Adoption varies by region and readiness, but these tools are showing real potential to reduce administrative burden and refocus time on care delivery.
AI is also helping to bridge gaps in communication and health literacy. Emerging tools can translate complex medical language into plain-language summaries written at an eighth-grade reading level—an essential step toward transparency and understanding. Still, digital health interventions must reflect real-world constraints. Many patients rely on prepaid phones or limited data plans, making SMS or voice-based outreach critical alternatives to app-based care.
A Good Things Foundation digital-inclusion study found that 33% of people who are offline report difficulty interacting with health services online, and vulnerable groups—such as people with impairments or Gypsy, Roma, and Traveller communities—face significantly higher barriers to digital care access.
Meanwhile, ambient digital scribes are quietly transforming clinical documentation, listening during encounters to automate note-taking and restore human connection between patients and providers. Yet despite these advancements, interoperability remains elusive. Without a shared, actionable minimum data set, even the most advanced AI systems risk reinforcing silos instead of breaking them down.
A 2025 nationwide study by the Association of Health Care Journalists found that among Medicaid-insured individuals, telehealth utilization dropped by 17%, even as overall telehealth adoption rose, raising serious equity concerns about who truly benefits from digital-care expansion.
As data and AI capabilities advance, privacy and personalization must evolve alongside them.
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Privacy, data ownership, and personalization in healthcare
As AI and analytics become more embedded in healthcare, the question is no longer whether data can improve outcomes—it's how to do so responsibly. Every new capability brings the challenge of balancing access with accountability and ensuring strong healthcare data privacy practices.
Privacy-by-design is becoming the new standard, yet a persistent tension remains between personalized healthcare and patient consent. People want tailored experiences but also want control over how their information is used. The debate over patient data security—and what incentives might encourage patients to share their information safely—continues to evolve as health systems push for more integrated, longitudinal views of care.
To protect trust while enabling insight, organizations are advancing health data governance through safeguards such as de-identification, tokenization, and permission hierarchies that allow analytics without exposing personal identities. Large research initiatives like Epic Cosmos and the NIH's All of Us program demonstrate both the promise and the limitations of data-driven healthcare decision-making: they offer immense analytical power, yet inclusiveness is still uneven, particularly for non-Epic or underrepresented populations.
Meanwhile, new frameworks for consent and digital identity management, including IL2/IA-2 compliance, are emerging to secure sensitive use cases such as foster care and behavioral health. These efforts reflect a growing understanding that ethical data stewardship is not a constraint on innovation; it is the foundation that makes innovation sustainable.
Even the most advanced data model can't achieve equity without compassion and connection at its core.
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Compassion and connection: The human side of healthcare
Behind every data point is a person and understanding that truth is what transforms information into insight. Compassionate health care is not just about integrating datasets or aligning systems; it's about reconnecting care with empathy and intention.
Equitable care goes beyond closing gaps for specific populations. It means raising the baseline of quality for every community, ensuring that no one's access to care or quality of life depends on geography, income, or connectivity. Data can highlight disparities, but it cannot reveal the full story behind them. Missed rides, food insecurity, loneliness—these are human experiences that numbers alone can't capture.
The next wave of human-centered care will hinge on restoring the connection between providers and patients, data and empathy, and technology and trust. When systems are designed with humanity in mind, technology becomes more than a tool; it becomes a bridge.
True equity isn't achieved through algorithms or analytics alone; it's sustained through meaningful patient engagement, community partnerships, and the shared commitment to see people as more than patients.
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Steps to implement whole person care
Delivering whole person care requires more than understanding the problem—it demands the courage to act on it. The insights uncovered through data, research, and lived experience only create impact when paired with empathy, collaboration, and sustained commitment. Healthcare leaders now face an inflection point: how to translate awareness into measurable, equitable outcomes that reach every patient and community.
These healthcare best practices reflect the essential steps of SDoH implementation, turning strategy into action and insight into results:
- Develop hybrid engagement models that combine digital outreach with community-based support to bridge the digital divide.
- Standardize SDoH data sets to improve interoperability and create a shared foundation for collaboration.
- Expand AI-driven education tools within patient portals, ensuring content is understandable and accessible to all.
- Incentivize secure data sharing through privacy-by-design models that put patients in control of their information.
- Strengthen cross-sector partnerships to reach underserved populations through both digital and human touchpoints.
At UST, we believe the future of healthcare depends on connecting insight with empathy—transforming data into understanding and technology into trust. Whole person care is not just an aspiration; it's a blueprint for improving patient outcomes and building a more fair, connected, and compassionate healthcare system, one where innovation begins and ends with the human experience.
Connect with our healthcare transformation experts to learn how UST is helping organizations build more connected, compassionate systems of care.
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Key takeaways:
- Whole-person care recognizes that health outcomes depend on more than clinical treatment—social, economic, and environmental factors also shape them.
- Representation and data equity are crucial to ensuring that AI and digital tools accurately reflect the diverse realities of patients, rather than reinforcing existing disparities.
- Social determinants of health (SDoH) insights, supported by EHR platforms and geospatial data, help health systems deliver more targeted, community-based interventions.
- Bridging the digital divide requires inclusive design, which means meeting patients where they are through accessible communication, digital literacy, and hybrid engagement models.
- Ethical data use involves striking a balance between innovation and privacy, as well as consent and patient empowerment, using privacy-by-design frameworks.
- True equity is sustained through compassion, connection, and shared accountability between technology, providers, and communities.
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Resources
https://www.ust.com/en/insights/reimagining-care-delivery-from-portals-to-personalization