Healthcare Enterprises Accelerate AI-Led Transformation

Key Terms

prior authorization medical

Prior authorization is a process where a health insurance company requires approval before covering certain medical services or medications. It functions like a pre-approval step, ensuring that the treatment is necessary and appropriate before expenses are paid. For investors, understanding prior authorization is important because delays or denials can impact healthcare costs, provider operations, and the financial stability of related companies.

revenue cycle management financial

Revenue cycle management is the set of processes a healthcare provider or medical business uses to turn patient care into cash, including registering patients, billing insurers, submitting claims, collecting payments and handling denials. Think of it as the organization’s checkout system and follow-up team; efficient management shortens the time to get paid, reduces lost revenue and lowers financial risk, which directly affects cash flow and profitability that investors watch closely.

interoperability technical

Interoperability is the ability of different systems, devices, or software to work together smoothly and share information easily. It matters to investors because it enables more efficient operations, better data sharing, and faster decision-making across various platforms or technologies. When systems are interoperable, they can connect and communicate as if they were part of a single, unified system, reducing complexity and increasing overall effectiveness.

standardized data models technical

Standardized data models are agreed-upon templates that organize how information is labeled, formatted and linked so different systems and companies can read and use the same data the same way. For investors, they matter because they make financial, regulatory and clinical information faster to compare, aggregate and analyze—like using the same spreadsheet columns for every company—reducing errors, lowering integration costs and improving the speed and quality of decision-making.

agentic AI technical

Agentic AI refers to computer systems that can make their own decisions and take actions without needing someone to tell them what to do each time. It's like giving a robot a degree of independence to solve problems or achieve goals on its own, which matters because it could change how we work and interact with technology in everyday life.

lifecycle management technical

Lifecycle management is the ongoing process of guiding a product or asset from creation through growth, maturity and eventual phase-out to get the most value from it. Investors care because good lifecycle management—like tending a garden or maintaining a car—extends revenue, reduces costs and can delay or soften declines by adding improvements, finding new markets, adjusting pricing, and meeting regulatory requirements, which directly affects a company’s profits and stock value.

ISG report shows enterprise AI becoming a core operational layer, delivering measurable impact at scale

STAMFORD, Conn.--(BUSINESS WIRE)-- Healthcare organizations are embedding advanced AI capabilities into core operations to increase efficiency, reduce administrative burdens and enhance care delivery, according to a new research report published today by Information Services Group (ISG) (Nasdaq: III), a global AI-centered technology research and advisory firm.

The 2026 ISG Provider Lens^® global AI Services in Healthcare report finds that enterprises are moving from pilot deployments to structured, enterprise-wide AI adoption aligned with broad operational strategies. Organizations are integrating AI into clinical, administrative and payer workflows as they respond to rising cost pressures, workforce shortages and the need for greater operational precision.

“The healthcare industry is no longer evaluating AI on technical merit alone, but also on its ability to deliver consistent business outcomes at scale,” said James Burke, partner and Healthcare lead at ISG. “Organizations are incorporating AI in core processes as a strategic capability, emphasizing accountability, traceability and real-world impact.”

Enterprises are focusing AI investments on high-friction processes where automation can deliver immediate operational benefits. Clinical documentation, prior authorization and revenue cycle management are key areas of adoption, where AI is reducing cycle times and improving accuracy. AI-enabled systems streamline administrative workflows, allowing staff to focus on higher-value tasks and patient-facing activities.

Organizations are strengthening data foundations to support consistent and scalable AI performance. Investments in interoperability, standardized data models and improved data quality are enabling more reliable outputs and reducing fragmentation across systems. ISG finds that leading enterprises treat data as a strategic asset, foundational to scaling AI with repeatable, high-confidence results.

AI adoption is progressing from assistive tools to more autonomous, workflow-oriented applications that can carry out tasks within defined parameters. Emerging agentic AI systems are enabling the orchestration of multi-step processes, shifting AI from insight generation to execution. Human oversight remains central, particularly in clinically sensitive functions, to ensure AI outputs align with regulatory and operational requirements, ISG says.

“Healthcare enterprises are elevating AI into an operational backbone that coordinates decisions and actions across complex environments,” said Rohan Sinha, ISG principal analyst and lead author of the report. “Providers that can integrate these layers into existing systems while maintaining control and reliability will give clients a long-term competitive edge.”

The report also highlights critical success factors for scaling AI in healthcare, including the growing importance of organizational change management and the emerging need for lifecycle management and monitoring of AI systems.

For more insights into the AI adoption challenges faced by healthcare enterprises, along with ISG’s advice for addressing them, see the ISG Provider Lens Focal Points briefing here.

The report evaluates the capabilities of 32 providers across two quadrants: Healthcare AI Strategy and Advisory Services and Healthcare AI Development and Delivery Services.

The report names Accenture, CitiusTech, Cognizant, Deloitte, EXL, HCLTech, Infosys, TCS and Wipro as Leaders in both quadrants. It names NTT DATA as a Leader in one quadrant.

In addition, Persistent Systems and Quantiphi are named as Rising Stars — companies with a “promising portfolio” and “high future potential” by ISG’s definition — in one quadrant each.

The 2026 ISG Provider Lens global AI Services in Healthcare report is available to subscribers or for one-time purchase on this webpage.

About ISG

ISG (Nasdaq: III) is a global AI-centered technology research and advisory firm. A trusted partner to more than 900 clients, including 75 of the world’s top 100 enterprises, ISG is a long-time leader in technology and business services that is now at the forefront of leveraging AI to help organizations achieve operational excellence and faster growth. The firm, founded in 2006, is known for its proprietary market data and research, in-depth knowledge and governance of provider ecosystems, and the expertise of its 1,500 professionals worldwide working together to help clients maximize the value of their technology investments.

View source version on businesswire.com: https://www.businesswire.com/news/home/20260511546626/en/

Press Contacts:

Laura Hupprich, ISG
+1 203-517-3100
laura.hupprich@isg-one.com

Eric Arvidson, Matter Communications for ISG
+1 978-518-4542
isg@matternow.com

Source: Information Services Group, Inc.