Rural health resiliency has become one of the most important leadership challenges in American healthcare. Rural providers serve as essential anchors for their communities, yet many face workforce shortages, fragile financing, limited infrastructure, older technology, broadband gaps, rising administrative burden, and increasing pressure to adopt artificial intelligence responsibly. At the Global Health and Purpose Summit, as part of People and Planet United, Laura Kreofsky, National Director of Rural Health Resiliency at Microsoft, and David Rhew, Global Chief Medical Officer and Vice President of Healthcare at Microsoft, join Nicole Cottrill, Managing Partner at FINN Partners, for a conversation on how innovation, collaboration, infrastructure, and AI can strengthen rural health systems.

The session presents rural health not as a narrow access problem, but as a systems challenge. Resiliency depends on connectivity, cybersecurity, trusted AI governance, workforce development, new models of care, sustainable partnerships, and the ability to align technology with the realities of rural communities. The conversation also offers a clear leadership principle. Technology only matters when it reaches people in practical, trusted, and sustainable ways.

Rural Health as a Resiliency Challenge

Cottrill opens the session by framing rural health resiliency as a shared responsibility across healthcare, technology, innovation, and community leadership. Her opening statement sets the direction for the conversation. Rural health requires more than one new tool or one isolated program. It requires a coordinated effort to strengthen access, partnerships, care delivery, and the systems that allow rural communities to thrive.

The strength of the session comes from its practical realism. Rural healthcare organizations are central to the communities they serve, but they often operate under constraints that urban and large system providers may not face in the same way. A resiliency agenda must therefore begin by understanding the operating environment before prescribing technology as the solution.

The Fragility Beneath Essential Care

Kreofsky describes rural healthcare organizations as a critical part of the national healthcare ecosystem. Rural providers serve about one fifth of the United States population, yet they face older and sicker patient populations, workforce shortages, higher fixed costs, lower volumes, reimbursement pressure, Medicaid-related challenges, older systems, limited technology, and limited time and talent for innovation.

The scale of risk is significant. Kreofsky notes that roughly 40% of rural hospitals across the United States are at risk of closure for financial reasons. That number turns rural resiliency from a policy topic into a leadership imperative. When rural hospitals are unstable, communities lose more than beds and buildings. They lose access, employment, trust, emergency capacity, and a central institution that often holds the community together.

Rhew adds a clinical workforce lens to the same problem. Burnout affects clinicians across the country, but rural providers experience additional stress from scarcity, isolation, administrative burden, and lack of technology infrastructure. That combination limits access and makes it harder for rural teams to serve patients at the scale and intensity required.

Infrastructure as the Foundation of Innovation

The session repeatedly returns to a foundational point. Digital health, telehealth, remote patient monitoring, cloud platforms, EHR modernization, cybersecurity, and AI all depend on infrastructure. Without connectivity and secure technology foundations, innovation remains theoretical. In rural America, the first barrier is often not the absence of imagination. It is the absence of the underlying infrastructure required to deploy solutions reliably.

Rhew describes connectivity, cloud, cybersecurity, and data infrastructure as prerequisites for rural healthcare transformation. He points to the importance of low Earth orbit satellite connectivity as one example of how technology companies and partners can help close broadband gaps and make cloud-based health solutions more available in rural areas.

Kreofsky reinforces the same point from Microsoft’s Rural Health Resiliency Program, which begins with cybersecurity because a secure and stable technology foundation is necessary before organizations can move to more advanced levels of innovation.

Trust, Governance, and the Human Side of AI

Technology adoption in rural health cannot be treated as a purely technical matter. Kreofsky emphasizes the human elements of change, especially around AI. Rural providers and communities want to understand how AI is governed, how it affects professionals, how it protects confidentiality, and whether it supports or weakens the personal relationships that are central to care.

Responsible AI is particularly important in communities where the hospital or clinic may be an anchor institution and where trust is built through long-term relationships. Rural residents often stay with the same providers for years or decades because those relationships matter. AI must therefore be introduced in ways that strengthen trust rather than disrupt it.

Rhew connects that same trust agenda to the Trustworthy and Responsible AI Network and related collaborative efforts. The goal is not simply to deploy AI, but to deploy it in ways that foster trust, support responsible practice, and include rural communities, rural hospitals, and federally qualified health centers in the conversation.

From Funding to Sustainable Transformation

The Rural Health Transformation Program and related initiatives create an important opening for innovation, workforce investment, infrastructure, AI, cybersecurity, population health, and chronic disease management. Yet the session is careful not to treat funding as a permanent solution. Sustainability must be designed from the beginning.

Kreofsky notes that workforce development and upskilling are among the most important priorities emerging from state planning efforts. Rural health cannot wait years for every workforce challenge to resolve through recruitment alone. It must also equip the existing workforce with digital literacy, AI skills, informatics knowledge, and the ability to operate in more technology-enabled environments.

The session also highlights the importance of regional collaboration. Independent rural hospitals often want to remain independent while still sharing resources, negotiating payer contracts, using data together, and leveraging cloud technologies for population health. Those models can help rural organizations preserve local identity while gaining collective strength.

AI That Works in the Real World

The conversation becomes especially powerful when the speakers move from theory to real-world AI applications. Rhew highlights AI-assisted retinal screening in East Texas, where a routine two-minute eye exam helps identify people with advanced diabetic retinopathy who might otherwise have gone untreated. The example shows how AI can help detect disease earlier, identify high-risk patients, and bring people back into care before catastrophic outcomes occur.

Kreofsky offers a second example from the business and financial side of healthcare. Denied insurance claims create enormous burden for providers, patients, and families. Through the Rural Health Resiliency Program, rural hospitals help shape a low-code Claims Denial Navigator that supports billing teams by surfacing guidance and recommendations while preserving professional judgment.

Rhew adds another practical example through ambient voice technology. By converting clinical conversations into structured documentation, ambient tools can save clinician time, reduce burnout, improve patient experience, and support more complete documentation. For rural providers carrying heavy administrative loads, these technologies represent what Rhew describes as low-hanging fruit.

The Workforce of Humans and Agents

The session’s workforce discussion makes clear that rural health AI must be framed as augmentation rather than replacement. Rural communities already face shortages of clinicians, technology staff, and operational talent. Removing people from the system would weaken the very capacity rural health needs to build.

Rhew argues for a more practical model, one in which AI supports people by changing workflows, surfacing urgent information, improving documentation, helping teams prioritize risk, and enabling care teams to do more with constrained resources. In that model, the future workforce includes both people and agents working together.

Kreofsky adds a complementary human perspective. The future of work will require people to understand what AI can do alone, what AI can do side by side with people, and what only people can do. Compassion, creativity, communication, lived experience, and human judgment remain essential capabilities in care.

The operational path forward requires education, skills, and workforce enablement. Leaders must help people understand AI, use it effectively, manage agents responsibly, and redesign workflows around measurable outcomes. The promise of AI becomes real only when people are prepared to use it with confidence and purpose.

A Resilient Future for Rural Health

The final section of the conversation turns toward the future. Rhew argues that AI cannot be deployed as a narrow point solution that merely exposes the next problem downstream. Rural health needs end-to-end workflows that find disease, manage disease, and engage patients. AI can help in all three areas, but only if leaders design the whole pathway.

Kreofsky points to behavioral health and substance use as areas where AI-enabled tools could have transformative public health impact, especially in communities facing severe shortages and access challenges. The potential is not only clinical. It is human, familial, and community-wide.

Cottrill closes the conversation by returning to the central message of resiliency. Rural health cannot be strengthened through access alone, one technology alone, or one stakeholder alone. Resiliency requires collaboration, care delivery redesign, stronger partnerships, practical innovation, workforce readiness, and sustained alignment with community needs.

Building Rural Health Resiliency offers a clear leadership agenda for rural healthcare. The future depends on infrastructure that connects communities, technology that supports rather than burdens clinicians, AI that is responsible and trusted, partnerships that endure beyond temporary funding, and care models that make innovation practical for the people and places that need it most. Rural health resiliency is not a technology project. It is a community, workforce, infrastructure, and trust project, powered by innovation and anchored in purpose.

Session Intelligence

This leadership conversation examines rural health resiliency through the lens of infrastructure, connectivity, cybersecurity, responsible AI, workforce development, rural hospital sustainability, public-private partnerships, care delivery redesign, and community trust. Its central insight is that rural health transformation requires technology and partnership to work together in practical, sustainable, and community-centered ways.

Core Leadership Theme

Rural health resiliency depends on infrastructure, trust, workforce readiness, and partnerships that make innovation usable in real communities.

Technology Signal

AI can support earlier detection, reduce administrative burden, and strengthen care delivery when deployed responsibly and with the workforce.

System Impact Standard

Sustainable rural health transformation must connect access, care delivery, workforce capacity, broadband, cybersecurity, and community needs.

Rural Health Resiliency AI in Healthcare Responsible AI Healthcare Workforce Connectivity Cybersecurity Telehealth Community Health