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AI Moves From Pilots to Healthcare Core Systems: ISG

Healthcare AI

Information Services Group (NASDAQ: III) has released a new research report indicating that healthcare enterprises are accelerating the adoption of artificial intelligence across core operational and clinical functions as organizations seek to improve efficiency, reduce administrative workloads, and strengthen care delivery outcomes.

According to the 2026 ISG Provider Lens® global AI Services in Healthcare report, healthcare organizations are moving beyond experimental AI pilots toward enterprise-wide implementation strategies aligned with broader operational goals. The report highlights growing adoption of AI technologies across clinical workflows, payer systems, and administrative processes as providers respond to rising healthcare costs, staffing shortages, and increasing pressure to improve operational precision.

James Burke said healthcare organizations are now evaluating AI based not only on technological capability but also on measurable operational outcomes and scalability. He noted that enterprises are increasingly embedding AI into critical business functions while prioritizing accountability, traceability, and long-term operational value.

The report identifies clinical documentation, prior authorization, and revenue cycle management as some of the primary areas where healthcare organizations are deploying AI technologies. ISG said AI-driven systems are helping reduce processing times, improve accuracy, and automate repetitive administrative tasks, allowing healthcare professionals to dedicate more time to patient-facing responsibilities.

Healthcare enterprises are also investing heavily in strengthening their data infrastructure to support scalable AI deployment. According to the report, organizations are focusing on interoperability, standardized data models, and improved data quality to ensure more reliable AI-generated outputs and reduce fragmentation across healthcare systems. ISG noted that leading enterprises increasingly view data as a strategic asset central to long-term AI scalability and performance consistency.

The research also highlights a transition from assistive AI tools toward more autonomous workflow-oriented systems capable of executing multi-step operational tasks. Emerging agentic AI technologies are enabling organizations to move beyond analytics and insight generation into automated execution within controlled operational environments.

However, the report emphasized that human oversight remains essential, particularly in clinically sensitive areas where regulatory compliance, accuracy, and operational reliability are critical.

Rohan Sinha said healthcare providers are increasingly positioning AI as an operational backbone capable of coordinating decisions and workflows across complex healthcare ecosystems. He added that organizations able to integrate advanced AI systems into existing infrastructure while maintaining governance and reliability are likely to gain long-term competitive advantages.

The report also identified organizational change management and AI lifecycle monitoring as emerging priorities for healthcare enterprises scaling AI initiatives.

ISG evaluated 32 providers across two categories: Healthcare AI Strategy and Advisory Services, and Healthcare AI Development and Delivery Services. The report named Accenture, CitiusTech, Cognizant, Deloitte, EXL, HCLTech, Infosys, TCS, and Wipro as Leaders in both quadrants. NTT DATA was named a Leader in one quadrant, while Persistent Systems and Quantiphi were recognized as Rising Stars.

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