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 deep healthcare expertise and a proven, structured approach to Revenue Cycle Management (RCM) transformation. We partner with healthcare organizations to strengthen revenue cycle performance through commercial discipline and AI-enabled insight. By assessing RCM maturity, benchmarking cost-to-collect performance, and designing future-state operating models, we align sourcing, governance, technology and operational levers to deliver measurable financial improvement. Our approach improves accuracy, reduces labor volatility, strengthens KPIs such as denials and underpayments, enhances the patient financial experience, and ensures revenue operations are transparent, governable and aligned to enterprise objectives.

Drivers for Sustainable Revenue Cycle Performance

Sustained improvement in revenue cycle performance requires more than incremental fixes. Organizations must address structural, operational and commercial drivers across the end‑to‑end revenue cycle, supported by clear accountability and measurable outcomes.

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Front‑end revenue cycle activities directly influence downstream performance. Inaccurate scheduling, registration or eligibility verification increases denials, delays reimbursement and drives administrative cost.

ISG helps organizations strengthen front‑end revenue cycle capabilities as part of an integrated operating model, improving revenue integrity and reducing leakage across the patient and payer journey.

Revenue cycle operations face persistent workforce pressure and demand volatility. Sustainable performance depends on operating models that balance retained and sourced capabilities, scalability and cost control.

ISG supports organizations in designing future‑state revenue cycle operating models and delivery scenarios aligned to performance objectives and enterprise priorities.

AI presents a meaningful opportunity across revenue cycle functions, from coding and billing to denials and collections. Value realization depends on disciplined adoption and integration into daily operations.

ISG helps organizations identify where AI can reduce administrative burden, improve accuracy and lower cost‑to‑collect, while tying investments to measurable outcomes.

Without clear performance measures and governance, revenue cycle improvements are difficult to sustain. Standardized KPIs, baselining and transparency are essential.

ISG brings industry‑standard revenue cycle metrics, benchmarking and governance frameworks to help organizations establish accountability and drive continuous improvement.

Commercial structures play a critical role in revenue cycle outcomes. Misaligned incentives and unclear contracts can limit value even with capable partners in place.

ISG helps organizations structure, negotiate and govern revenue cycle agreements using standardized frameworks and performance‑based mechanisms to reduce cost‑to‑collect and support sustained value.

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.

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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