Industries

Healthcare

With aging populations, critical patient needs, rising costs and stringent regulations, the challenges in healthcare have never been greater.

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Strengthening the Foundations of Healthcare Performance

Healthcare organizations face mounting pressure to sustain performance amid tightening margins, increasing complexity and heightened accountability across the ecosystem. Whether delivering care, managing risk or enabling services, success increasingly depends on how well financial, operational and commercial foundations are structured and governed.

ISG partners with healthcare organizations across the value chain to improve enterprise performance where it matters most — from revenue and cost structures to operating models, sourcing strategies and AI‑enabled execution. With deep healthcare experience and market‑backed insight, we help clients make change measurable, governable and built for long‑term resilience.

Our healthcare advisory services help organizations: 

  • Improve revenue, cost and cashflow performance across complex operating environments 

  • Design operating models aligned to financial and regulatory realities 

  • Structure, negotiate and govern strategic relationships to accelerate value and reduce risk 

  • Apply AI and advanced analytics to reduce administrative burden and improve efficiency at scale 

  • Modernize sourcing strategies and enterprise platforms 

  • Realize value from mergers, acquisitions and largescale change initiatives 

Revenue Cycle Management

 

Revenue cycle performance is increasingly central to the financial sustainability of healthcare organizations. As reimbursement models evolve and administrative complexity grows, leaders face mounting pressure to protect cash flow, reduce revenue leakage and improve efficiency across end-to-end revenue operations.

ISG brings a first-of-its-kind approach to revenue cycle transformation, combining sourcing leadership with AI-enabled transformation. We establish a disciplined commercial model built on fair contracts, benchmarked economics, measurable performance and independent governance — embedding accountability and value realization from day one.

This enables healthcare organizations to improve cash flow, reduce leakage and operate RCM as a governed business program, typically delivering up to 50% operating cost savings and 2–4% net patient revenue uplift.

We partner with healthcare organizations to execute this model through structured transformation. By assessing RCM maturity, benchmarking cost-to-collect performance, and designing future-state operating models, we deliver measurable financial improvement.

This results in higher accuracy, reduced labor volatility, stronger performance across denials and underpayments, and an improved patient financial experience.


What differentiates ISG's approach to RCM transformation
  • A first-of-its-kind commercial model for revenue cycle transformation
  • Built on fair contracts, benchmarked economics and measurable performance
  • Combines sourcing leadership with AI-enabled transformation
  • Embeds accountability and value realization from day one
  • Designed to deliver measurable financial outcomes across cost, revenue and operational performance

Key Drivers of Revenue Cycle Performance

Sustained improvement in revenue cycle performance requires more than incremental fixes. Organizations must address the key operational and commercial drivers across the end-to-end revenue cycle, supported by defined ownership and measurable outcomes.

ISG activates its approach across five critical drivers:
(Click on a section below to learn more)

Front-end activities directly shape downstream revenue performance. Inaccurate scheduling, registration or eligibility verification increases denials, delays reimbursement and drives avoidable cost.

ISG helps organizations strengthen front-end execution to improve data quality, reduce rework and protect revenue integrity across the patient and payer journey.

Revenue cycle operations face persistent workforce constraints and demand volatility. Performance depends on an operating model that balances capacity, flexibility and cost control.

ISG supports the design of scalable delivery models that align retained and sourced capabilities with financial and operational targets..

AI is reshaping revenue cycle economics across coding, billing, denials and collections. The challenge is not access to technology, but disciplined adoption that translates into operational impact.

ISG helps organizations prioritize high-impact use cases and integrate AI into daily workflows to reduce administrative burden and improve performance.

Sustained improvement requires clear performance visibility and ownership. Without consistent measurement, revenue cycle performance cannot be effectively managed.

ISG helps organizations define KPI frameworks, establish baselines and create transparency to support continuous performance improvement.

Revenue cycle outcomes are directly influenced by how services are structured and governed commercially. Misaligned incentives and unclear terms can limit value realization.

ISG helps organizations structure and negotiate revenue cycle agreements with aligned incentives and performance-based mechanisms to reduce cost to collect and improve financial outcomes.

Typical Outcomes of Revenue Cycle Transformation

Organizations that implement a structured approach to RCM transformation can achieve:

  • Up to 50% operating cost savings
  • 2–4% net patient revenue uplift
  • Reduced denials and underpayments
  • Lower cost to collect
  • Improved cash flow predictability and transparency

ISG Point of View

Revenue cycle transformation often underperforms when value is left to execution alone. Sustainable results require a model in which economics, accountability and performance are built into how services are structured, measured and governed from the outset.

Revenue Cycle Management – Key Questions

  • Q1. What is revenue cycle management (RCM)?

    Revenue cycle management is the end-to-end financial process from patient access and billing through reimbursement and collections.

  • Q2. Why is revenue cycle performance critical for healthcare organizations?

    Revenue cycle performance directly impacts cash flow, revenue integrity and overall financial sustainability, making it a core operational and strategic priority.

  • Q3. What differentiates ISG’s approach to RCM transformation?

    ISG brings a first-of-its-kind approach to revenue cycle transformation, combining sourcing leadership with AI-enabled transformation in a disciplined commercial model.

  • Q4. What results can RCM transformation deliver?

    A structured approach to revenue cycle transformation can deliver up to 50% operating cost savings and 2–4% net patient revenue uplift, depending on the starting point and execution model.

  • Q5. Where does AI create value in the revenue cycle?

    AI improves efficiency and accuracy across key processes such as coding, billing, denials management and collections, helping reduce administrative burden and improve financial outcomes.

Our track record of guiding our clients to achieve operational efficiency and decreasing costs is unmatched.

Served more than

100+

Healthcare organizations

Assisted

16

Of the largest 20 US Payers

Assisted

8

Of the largest US Providers

Over

20

Years of healthcare expertise

ISG supports healthcare organizations across the value chain, including:

Providers

Payers

Pharmacy Benefit Managers (PBMs)

Healthcare solution and service providers

The market has moved from ambition to accountability.

AI investment is accelerating, but results remain uneven. Only one in four initiatives is meeting revenue impact expectations, at an average spend of $1.3M per use case. Enterprises are no longer asking whether AI works. They are being asked to prove that it pays.

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What We Deliver

AI strategy, governance and intelligence, built for execution.

Autonomous Enterprise

Operations built for autonomous execution, not retrofitted for it.

We help you identify where AI agents deliver the most value, restructure workflows around them and build the accountability models that keep autonomous execution auditable. The enterprises that win won't be the ones that reacted. They'll be the ones that designed for it first.

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Autonomy-Level Pricing

Pricing that reflects how AI-enabled services are actually delivered.

We give enterprises transparent, benchmarkable pricing models that tag each resource unit with the autonomy level used to deliver it. As AI capability advances, your pricing keeps pace. Both buyers and providers can quantify what that progress is worth.

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AI & Software Intelligence

Build-versus-buy decisions grounded in what AI is actually delivering.

We bring analysis of more than $2.6 billion in tracked AI spend to every sourcing decision. Procurement, technology and finance leaders get the independent intelligence to rationalize vendor portfolios and hold providers accountable to measurable outcomes.

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AI Governance

Governance that accelerates AI adoption rather than constraining it.

We embed controls at the point of data creation, define accountability for autonomous actions and build adaptive frameworks that keep pace with AI without impeding it. Enterprises that get this right don't just manage risk. They build the trust that lets them scale faster.

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AI Strategy

AI investment aligned to where impact is most achievable.

We ground strategy in research across 2,400 enterprise use cases, aligning investment to where impact is proven and designing the data, talent and governance foundations that move AI from pilots into the workflows that drive commercial results.

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AI Maturity Index

A clear view of where you stand and a roadmap to where AI starts delivering.

We benchmark your AI readiness against peers across 75 countries, identify the dimensions holding you back and give you a personalized roadmap to close the gap.

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The market today

Enterprise AI has moved out of IT and into the revenue line.

AI investment is shifting decisively toward revenue-generating functions. CRM automation, sales enablement and forecasting have replaced chatbots and IT productivity tools as the leading use case priorities, reflecting enterprise recognition that productivity gains alone do not satisfy board-level scrutiny. At the same time, use cases in production have doubled since 2024, and the portfolio is diversifying rapidly, with over 300 distinct function and industry-specific use cases now in active deployment.

ISG research across 2,400 enterprise use cases shows that the strongest AI returns are currently concentrated in compliance, risk management and quality control, not in the growth and cost outcomes most enterprises originally set out to achieve

The gap between where enterprises are investing and where AI is actually delivering is the defining commercial tension of 2025. Organizations that close it by targeting functions with structured, revenue-attributable data and clear ROI measures will establish performance benchmarks that compress the window for competitors still cycling through pilots. The standard is being set now.

Where enterprises are feeling the pressure
  • Business outcomes are lagging AI ambition
    Enterprises are scaling Al faster than they are realizing value from it. The number of use cases in production doubled between 2024 and 2025, yet only one in four initiatives is meeting revenue impact expectations, and broad cost savings remain elusive. At an average spend of $1.3M per use case, the ROI gap is sharpening board-level scrutiny and forcing a harder question: are we building Al for impact, or for activity?
  • Data infrastructure exposing deferred investment
    Al does fail in isolation. It fails on the foundations beneath it. Most enterprises are running modern Al on architectures built for reporting and compliance. Generative and agentic Al demand real-time contextually rich, governed data at the point of use. Without it, pilots stall and value dissipate before it reaches the business.
  • The barrier to scale is organizational, not technical
    Organizational readiness as the bigger constraint on Al adoption, not talent or tooling. Workflows haven't been redesigned. Decision rights haven't shifted. Enterprises that treat Al as a pure technology deployment, without investing in the human side of adoption, consistently report underwhelming ROI.
  • Agentic AI is outpacing governance
    As Al moves from generating outputs to executing tasks autonomously, the governance gap widens. Agentic Systems introduce a new class of risk that static compliance frameworks were never designed to catch. Governing what Al does, not just what it produces, is now a business-critical requirement.

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