ViVE 2026: What Health System Transformation Means for Manufacturers

Petauri Kinect Insights from the Front Lines of Digital Health 

ViVE 2026 reinforced a clear reality for healthcare leaders: digital transformation is no longer about deploying technology, it’s about proving impact. Across discussions with federal agencies, health systems, and innovators, the focus consistently centered on reduced utilization, improved outcomes, and sustainable care models enabled by AI, data modernization, and workforce redesign. 

ViVE 2026 — Highlights  

• AI is rapidly becoming the front door to care, embedded across intake, triage, documentation, and workflow orchestration, placing user experience and workflow fit above raw model performance. 
• Workforce redesign is accelerating, with AI redistributing tasks so clinicians can practice at the top of their license and health systems formalizing hybrid clinical–digital roles to drive adoption. 
• Federal and state policy is reinforcing outcome‑driven care, as initiatives like ACCESS and the $50B Rural Health Transformation Program tie funding to measurable progress and utilization reduction. 
• Medical‑grade data and strong digital governance are emerging as prerequisites for scale, ensuring continuous data translates into action while reducing burden at the point of care. 

AI Is Becoming the Front Door to Care 

Health systems increasingly view AI as a core operating layer, not a standalone tool. Leaders emphasized that “AI should be the front door,” mediating patient navigation, intake, triage, and routing before human interaction occurs. 

Documentation tools, such as Ambience, were frequently cited as already delivering value at scale, bridging administrative and clinical support. The prevalence of these tools signaled that discussion has moved beyond adoption to the next question: how to extend these tools into decision support while ensuring that human oversight always occurs. 

As AI evolves, expectations around how it is leveraged in practice have sharpened. Speakers stressed that user experience (conversation design and workflow fit) were more important that raw model accuracy noting that “conversation designs are more important than just the model accuracy… you need to go from the IQ to the EQ.” 

What this means for manufacturers: 
Health systems may treat AI as a core operating layer but may remain cautious, waiting for price stabilization and clearer standards, as the market continues to evolve. For manufacturers, this underscores the importance of flexibility: Support materials and field resources should be designed in modular, work-flow ready formats, that can integrate across AI-enabled pathways, reducing friction for systems that are reluctant to over‑commit to any single AI vendor. 

Workforce Redesign: Enabling Practice at the Top of License 

It was clear that AI is reshaping work, not replacing clinicians. The emphasis was consistently on redistribution of tasks so that providers can focus on clinical practice, emphasizing that this is about enablement, not displacement. Leaders repeatedly emphasized that “we need to enable providers to operate at the top of their license.” 

Additionally, organizations are starting to formalize hybrid roles that blend clinical insight, operations, and digital design, accelerated by low-code and agentic AI tools that allow teams to configure solutions without heavy IT involvement. While it was acknowledged that early deployments may not show ROI, adoption is often justified by experience and retention gains, with a recurring sentiment that “providers are just happier; work‑life balance is better.” 

What this means for manufacturers: 
AI‑enabled pathways may shift where therapies are introduced, managed, and monitored. Manufacturers should reassess how education, adherence, and safety support fit into environments where AI increasingly handles summarization, triage, and routine administration, ensuring resources align with evolving care pathways and clinician workflows. 

Federal and State Policy Is Redefining Success 

The ACCESS initiative and the $50B Rural Health Transformation Program were repeatedly highlighted as catalysts for modernization. Federal leaders were clear that affordability and lower utilization are now central priorities, reinforcing that future care models must “reward lower utilization” while still improving outcomes. Notably, The ACCESS initiative framed this transformation as a long‑term system redesign, with the emphasis not on rapid pilots, but on building technology‑enabled care models that can mature, scale, and perform across both fee‑for‑service and value‑based arrangements. 

That long‑term vision is being accelerated by the $50B Rural Health Transformation Program, which speakers described as startup capital—not ongoing reimbursement. Funding is explicitly tied to progress, with a clear message that milestones must be met to continue receiving support. Execution will largely occur at the state level, where systems must move quickly to deploy funds and demonstrate measurable impact. 

What this means for manufacturers: 
As health systems align programs to ACCESS and rural transformation funding, manufacturers may need to support utilization‑reduction goals and milestone‑based progress, while building state‑ready resources that align with varied procurement pathways—including direct purchasing, RFP/RFA processes, and provider pass‑through models. 

Data Modernization, Medical-Grade Sensing, and Data Governance 

Medical‑grade sensing emerged as a critical foundation for remote monitoring and chronic‑care models, valued for delivering stable, clinically actionable signals that support documentation, escalation, and care decisions. Speakers emphasized a shift from episodic data to continuous, reliable signals that enable “closed‑loop communication between data and clinical interpretation.” Importantly, continuous data only creates value when it is filtered and routed intelligently, with signals summarized for the right role at the right moment to avoid noise and alert fatigue. In contrast to consumer‑grade data, medical‑grade sensing was consistently positioned as essential for triggering reliable follow‑up, reducing unnecessary encounters, and justifying integration into formal care pathways.

Alongside data modernization, leaders were clear that digital initiatives struggle without early nursing engagement. Nursing was repeatedly described as the backbone of healthcare operations, underscoring their role in translating digital strategy into day‑to‑day execution. Priorities focused on strengthening digital competency among nurse leaders and deploying tools such as ambient documentation to meaningfully reduce documentation burden.   

What this means for manufacturers:

Health systems may begin to prioritize medical-grade, continuous signals that run through closed-loop workflows and track impact on avoidable ED/inpatient and time-to-intervention. with nursing leadership increasingly holding a formal seat at the table for AI and digital adoption, materials and remote‑monitoring resources should be developed with key operational stakeholders and real‑world workflows in mind.

Moving from Insight to Impact 

The signals coming out of ViVE 2026 are clear: health systems are redesigning care around AI‑enabled workflows, measurable outcomes, and utilization reduction, and manufacturers must evolve alongside them. Petauri Kinect partners with manufacturers to translate these shifts into practical, health‑system‑ready strategies, aligning evidence, education, and engagement with how care is actually delivered today. To understand how these trends may impact your portfolio, and how to position your organization for success in an increasingly complex health‑system environment, connect with Petauri Kinect to start the conversation.