• Agentic automation shifts not just tools but decision authority between humans and AI, changing day-to-day work.
  • HLTH master class (Feb 23, 2026) presents a practical framework for safe orchestration and redesign of workflows.
  • Real-world examples will show reductions in authorization delays, higher-quality submissions, faster financial outcomes, and less rework.

What “agentic automation” means for healthcare

Agentic automation refers to AI systems that do more than provide recommendations — they can act, prioritize, and complete tasks on behalf of humans within set constraints. In healthcare operations, that means automation isn’t limited to rule-based bots or simple decision support; it’s a teammate that can execute parts of a workflow while humans retain oversight.

Why decision-making must be redesigned

As AI takes on more agency, the boundary between human and machine decisions shifts. Organizations must decide which decisions remain human-only, which can be delegated to AI with human review, and which can safely be automated end-to-end. That redesign affects job roles, approval pathways, and compliance controls.

Safe orchestration: the practical framework

The master class at HLTH promises a practical framework for safely orchestrating agentic automation. Key elements typically include:

  • Clear guardrails and escalation paths so AI actions are auditable and reversible.
  • Role redesign so staff focus on exceptions and higher-value work rather than repetitive tasks.
  • Metrics that capture both speed and quality to avoid efficiency gains that increase downstream errors.

Where agentic automation delivers the most impact

According to the session overview, agentic systems often create outsized value across payer and provider operations by:

  • Reducing authorization delays: automating data validation and submission steps can cut back-and-forth with payers.
  • Improving submission quality: AI can check clinical and administrative forms for completeness and clinical coherence before submission.
  • Accelerating financial outcomes: faster, cleaner claims and authorizations speed reimbursements and reduce days outstanding.
  • Minimizing rework and operational friction: catching issues earlier prevents costly downstream fixes and manual handoffs.

Who should pay attention — and why

Operational leaders, revenue cycle teams, clinical informaticists, and IT architects should follow these developments. The shift from advisory AI to agentic teammates changes training needs, governance, and vendor selection — and organizations that adapt early may avoid productivity losses or compliance risks.

Takeaway

The HLTH master class on Feb. 23, 2026 focuses on translating agentic AI from concept into safe, measurable operational improvements. Attendees can expect practical examples rather than abstract promises — the emphasis is on redesigning work, setting safeguards, and realizing tangible gains in speed, quality, and financial performance.

Image Referance: https://hlth.com/member-events/agentic-automation-in-healthcare-how-work-changes-when-ai-becomes-a-teammate-2026-02-23