At ViVE 2026, healthcare executives, digital leaders and technology innovators gathered to discuss how AI is transforming healthcare delivery and administration. The event made it clear that AI has moved beyond experimentation and is entering a phase of operational deployment across the healthcare ecosystem.

Policy and financial pressures are reshaping priorities for providers and payers

Healthcare leaders highlighted growing concerns around policy changes and financial pressures affecting both sides of the healthcare ecosystem. Potential changes to subsidies under the Affordable Care Act, proposed Medicaid funding reductions and evolving value-based care models introduced by the Centers for Medicare and Medicaid Services are creating uncertainty for healthcare organizations.

For providers, these pressures could lead to increased emergency room utilization, higher uncompensated care and operational strain on already stretched clinical resources. Health systems are focusing on improving care coordination, preventive care strategies and operational efficiency to manage potential increases in uninsured patients.

For payers, these policy shifts may drive membership volatility and tighter margins. Many payer organizations are prioritizing cost transparency, population health strategies and proactive member engagement to maintain financial sustainability while improving health outcomes.

Despite the challenges, leaders expressed optimism that these disruptions could accelerate innovation and collaboration across the healthcare ecosystem.

AI adoption is accelerating across payer operations and provider workflows

One of the most prominent themes at ViVE 2026 was the rapid transition from AI experimentation to real-world operational deployment.

For payers, AI adoption is scaling across multiple operational functions, including:

• Utilization management
• Prior authorization automation
• Clinical review support and decision assistance
• Member engagement through conversational AI and digital agents
• Provider operations such as credentialing and provider data management

These capabilities help payers streamline administrative workflows while improving responsiveness to members and providers.

For providers, AI is increasingly being integrated into care delivery and operational workflows. Health systems are using AI to support clinical documentation, patient engagement, scheduling optimization and care navigation.

Across both sectors, the conversation has evolved from “What can AI do?” to “How quickly can we deploy AI safely and at scale?”

Operational AI is the primary investment focus for both providers and payers

While clinical AI applications continue to advance, immediate investments are being directed toward operational AI solutions that deliver measurable efficiency gains.

For providers, operational AI is helping address administrative burdens and financial pressures. Key investment areas include:

• Revenue cycle management automation
• Intelligent scheduling
• Clinical documentation support
• Care coordination and patient navigation

These solutions help reduce clinician workload while improving operational efficiency and financial performance.

For payers, operational AI is transforming areas such as claims processing, prior authorization workflows and member engagement. Automation and predictive analytics help organizations process claims faster, reduce errors and improve overall operational efficiency.

Although clinical AI innovations were present at the event, higher-risk applications such as diagnostic decision support received less attention due to regulatory complexity and patient safety considerations.

Administrative cost reduction and payment integrity remain critical priorities for payers, with operational efficiency a key focus for providers

Administrative complexity continues to be a major driver of healthcare costs. Organizations across the ecosystem are exploring AI-driven solutions to address inefficiencies.

For payers, payment integrity and administrative cost reduction remain top strategic priorities. AI-powered analytics are being used to identify fraud, waste and abuse, improve claims accuracy and streamline payment processes.

For providers, operational efficiency is closely tied to financial sustainability. Health systems are investing in automation and digital tools that simplify administrative processes, reduce manual workloads and optimize revenue cycle performance.

Across both sectors, leaders emphasized that while cost reduction is important, patient safety, clinical quality and clinician satisfaction must remain central to transformation efforts.

Agentic AI is generating interest across the ecosystem, but understanding remains limited

Agentic AI, systems capable of autonomously executing complex tasks across workflows, was a frequently discussed topic at the event.

For providers, Agentic AI could potentially automate administrative coordination tasks such as care scheduling, referral management and patient communication.

For payers, the technology may enable automated decision workflows across utilization management, claims processing and member support.

However, many organizations acknowledged that there is still a significant gap in understanding the true capabilities and operational implications of Agentic AI. Healthcare leaders are taking a cautious approach as they explore how these systems could operate within highly regulated environments.

AI governance, trust and cyber resilience are becoming shared priorities for providers and payers

As AI adoption expands, healthcare organizations are recognizing the importance of Responsible AI governance and cyber resilience.

For providers, concerns center around clinical accountability, patient data protection and ensuring that AI-generated insights support safe care decisions.

For payers, governance challenges include algorithmic transparency, regulatory compliance and protecting sensitive member data.

Organizations are beginning to treat AI-related risks as extensions of broader cybersecurity and operational risk management frameworks, integrating AI governance into enterprise risk strategies.

Across both sectors, leaders emphasized that trust, transparency and oversight will be essential to sustaining long-term AI adoption.

Interoperability and EHR integration are critical for provider adoption, while payers seek enterprise-wide AI platforms

A final theme that emerged strongly was the growing importance of deep integration and interoperability.

For providers, AI solutions must integrate seamlessly into electronic health record systems such as Epic, Cerner and MEDITECH. Standalone AI tools operating outside clinical workflows are struggling to gain traction.

Embedding AI directly into EHR environments ensures clinicians can access insights and automation without disrupting their existing workflows.

For payers, the focus is shifting toward enterprise-wide AI platforms that can support multiple use cases across claims management, provider operations, member engagement and payment modernization.

Across the healthcare ecosystem, organizations are increasingly prioritizing interoperable solutions that deliver enterprise-scale value rather than isolated point technologies.

Advancing the next phase of healthcare AI adoption

The discussions at ViVE 2026 made it clear that the healthcare industry is entering a new stage in its AI journey. The focus is shifting from experimentation to scalable deployment, measurable outcomes and responsible governance.

For providers, AI offers opportunities to reduce administrative burden, improve clinician experience and enhance care coordination. For payers, the technology can streamline operations, strengthen payment integrity and improve member engagement.

Realizing these benefits will require thoughtful implementation, strong governance frameworks and deeper integration across healthcare systems.

Organizations that combine AI innovation with operational discipline and ecosystem collaboration will be best positioned to transform healthcare delivery and financing in the years ahead.