Unlocking AI’s Impact on Care Delivery Through the Right Clinical and Technology Ecosystem

AI tools tailored for healthcare are finally hitting the market. Data shows just how significant this opportunity is to positively impact both patient outcomes and clinician experience. In KPMG’s 2025 American Worker Survey, healthcare employees reported generally lower access to AI tools than the broader workforce revealing a clear opportunity to reshape patient care, clinical workflows, and operational efficiency.

From Administrative Burden to Clinical Efficiency

When deployed safely, responsibly, and within the right guardrails, AI has the potential to be transformative. Consider emerging capabilities like ambient listening, which can generate clinician notes directly from patient conversations. Physicians tell us this type of tool could give them back hours each day—time that can be redirected from late-night documentation to patient care. Labor-intensive processes such as chemotherapy scheduling, prior authorization drafting, or complex clinical documentation are also prime candidates for modernization.

AI agents can now produce first-draft authorization requests, summarize multi-page medical histories, or help optimize scheduling. Clinicians remain firmly in the loop, but the reduction in friction and administrative load is significant.

Every hour a clinician spends with patients rather than systems is an hour that can improve care quality and clinician satisfaction.

Better scheduling leads to earlier access to critical treatments. More accurate and timely documentation reduces errors and strengthens continuity of care. And over time, a less burned-out workforce supports better patient satisfaction and outcomes. While these AI capabilities often operate behind the scenes, their benefits surface directly at the point of care.

Building a Foundation for Scalable AI

The most important capability healthcare organizations can build is not a single solution but the foundation for safe, scalable, and enduring AI adoption. That’s why a strong technology ecosystem can unlock more innovation with AI and ultimately fill the gap between assistive technology and AI-driven technology.

KPMG’s work with Anthropic reflects an ecosystem-driven approach to applying AI where clinical and operational complexity is highest. For example, Claude’s HIPAA-ready infrastructure and domain intelligence is being used to support dynamic chemotherapy scheduling within an AI-powered multi-agent system designed to manage shifting clinical protocols, constrained resources, and high patient impact. Rather than a single application, this system functions as a coordinated team of agents that algorithmically enforces medical protocols, medication timing, and safe staffing ratios, while optimizing chair utilization and patient throughput. Claude augments this system by interpreting complex clinical inputs, supporting orchestration across agents and care teams, and enabling more responsive, human-centered communication with patients. The result is reduced disruption, shorter wait times, improved accommodation of patient preferences, and more reliable delivery of care, all within a cloud-native architecture aligned to a hospital’s existing IT landscape and with clinicians firmly in control.

By pairing Anthropic’s frontier-model capabilities with KPMG’s expertise across governance, cyber, clinical operations, risk, and workforce transformation, healthcare organizations can move beyond isolated pilots and adopt AI in ways that are safe, scalable, and aligned with care delivery priorities.

There are four essential pillars to consider when considering how to best unlock AI’s impact:

1. Trusted AI and Governance
Healthcare organizations face heightened stakes: privacy, clinical safety, model drift, and ethical considerations. Strong governance turns promising pilots into production-ready capabilities clinicians can trust. This includes risk frameworks, validation processes, and multidisciplinary input across clinical, legal, operational, cyber, and organizational stakeholders.

2. Human-Centered Workforce Enablement
AI’s full value comes from people. Preparing the workforce to operate in an AI-enabled environment is as important as deploying the technology itself. Through workforce transformation efforts, leaders can rethink roles, build confidence, reduce fear, and position AI as a career enhancer rather than a threat.

3. Operational and Financial Alignment
With many hospitals under intense financial pressure, pragmatic value matters. Whether saving clinicians hours of administrative work, reducing rework, or improving throughput in functions like chemotherapy scheduling, the right AI use cases can generate measurable near-term ROI.

4. A Safe, Integrated Technology Platform
Healthcare organizations need a resilient technology foundation that allows teams to experiment safely, scale responsibly, and integrate best-in-class AI models. That includes emerging frontier systems such as Anthropic’s Claude, which are opening new possibilities for clinical and operational insight. To use these capabilities effectively, organizations require secure environments, strong guardrails, and a clear governance model that protects patient data and maintains clinical integrity.

The Power of an Ecosystem-Driven Approach

Ultimately, the breakthrough potential of AI in healthcare won’t come from a single model or tool. It will come from the ecosystem that surrounds them: governance, workforce enablement, trusted platforms, and thoughtful integration into clinical and operational workflows. At KPMG, we help healthcare organizations build that ecosystem so that the best tools—including those from innovators like Anthropic—can be adopted safely, effectively, and at scale.

The next chapter of healthcare transformation is here. With the right guardrails and the right partners, AI can finally deliver what clinicians and patients have long asked for: more time, more clarity, more support, and ultimately, better care.