HIMSS 2026: Reimagining the Healthcare Continuum with AI

Being on the ground at HIMSS 2026, one thing was evident: we have reached the end of the efficiency era and entered the era of reimagination. The conversation has shifted from how we can use tech to do things faster to how we can use AI to do things differently.

Here are key takeaways from the event on how healthcare organizations must evolve to stay ahead of the machine-velocity curve.

1. Reimagining vs. Accelerating

Traditionally, healthcare technology has been implemented by layering new tools over legacy systems. This creates a cluttered ecosystem of disparate solutions. AI allows organizations to pause and evaluate the foundational nature of workflows. If you use AI to simply accelerate a 25-step process, you still have a 25-step process.

- The Goal: True reimagination uses AI to collapse workflows, reducing 25 steps down to 10, or even 5.
- The Mindset: Don't just digitize the past; transform the process itself to function at the speed of modern intelligence.

2. The Data Homework: Crawl, Walk, Run

Every health system wants to run with GenAI insights; however, many haven't finished their "crawl" phase homework. To reach the advanced stages of AI maturity, a robust data strategy is non-negotiable.

The Maturity Roadmap:

- Crawl (Foundations): Building robust infrastructure and data governance.
- Walk (Integration): Aggregating data across the entire system, which means moving past data silos and analyzing patient information across all encounters, not just a single application.
- Run (Advanced AI): Layering GenAI to reinvent historical EHR processes.

Without complete data integration, you are training AI on a limited view. Decisions made on fragmented data aren't just inefficient; they’re dangerous.

3. Continuous Embedded Patient Engagement

While ambient listening and Revenue Cycle Management (RCM) are driving solid ROI today, the most compelling future of care lies in Continuous, Embedded Patient Engagement.

Instead of viewing AI as a tool for a specific visit, it must be seen as a thread that runs through the entire continuum of care:

- Early Engagement: Proactive data collection before the patient enters the clinic.
- Provider Connection: Facilitating a seamless bridge between patient needs and provider action.
- Post-Visit Support: Guiding the patient through discharge and home recovery to ensure treatment adherence and avoid unnecessary readmissions.

Conclusion: The Holistic Advantage

The historical movement of EHR digitalization was about moving paper to screens. The GenAI movement is about moving tasks to outcomes. There are three primary advantages when processes are designed for autonomy and speed:

- Enhanced Experience: A frictionless journey for both the provider and the patient.
- Clinical Adherence: Higher patient compliance through continuous digital support.
- Operational Health: Drastic reduction in hospital readmissions and burnout.

Healthcare is no longer about the point of care; it’s about the continuity of care. Explore how CI&T helps transform the patient journey.

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