AI Scaling in Healthcare: Governance, Small Language Models, ROI, and Workforce Enablement

Transforming Healthcare with AI: Leadership Insights from the Hexaware x ISG Healthcare Executive Roundtable

Key takeaways from the invite-only Hexaware x ISG Healthcare Executive Roundtable (New York, June 11, 2026), where senior leaders from organizations including Blue Cross Blue Shield Association, Duly Health and Care, and CareInsight shared proven strategies for AI scaling in healthcare—from measurable ROI to AI governance in healthcare.

Why This Report Matters

AI in healthcare is no longer emerging technology—it’s an operational necessity. Organizations that don’t integrate it risk higher costs, lower quality of care, and the loss of top talent. This report gives decision-makers the insights and practical steps to scale AI successfully, with a cross-sector perspective on AI ROI in healthcare, governance, workforce enablement, and the barriers that stall deployment.

What You’ll Learn

• Achieve Measurable ROI: How leaders are delivering 40–50% cost reductions and saving up to 6,000 FTE hours in six months through AI in administrative workflows and AI in revenue cycle management—proof that the era of pilots is over.
• Reduce Physician Burnout: How ambient AI tools save physicians 1–2 hours of documentation daily, improving both care quality and job satisfaction.
• Unlock Unstructured Data: How generative AI and AI agents in healthcare extract actionable insights from clinical narratives, EHRs, and call center logs—overcoming data silos and inconsistent taxonomies to enable earlier interventions.
• Scale with Confidence: A step-by-step framework for navigating data readiness, AI governance in healthcare, and change management to operationalize AI within 90 days.
• Build a Resilient Strategy: Why small language models (SLMs) in healthcare suit regulated environments, how to approach AI build vs. buy strategy decisions, and how a five-layer architecture framework supports cost management and helps you avoid vendor lock-in.

Who Should Read It

• Healthcare Executives: Drive AI adoption and competitive advantage.
• Technology Leaders: Build scalable architectures and manage costs like tokenomics.
• Clinicians and Administrators: Reduce burnout and reclaim time for patient care.
• Payers and Providers: Transform clinical and administrative workflows to improve quality and cut costs.