The Compliance Cliff: Only 20% of Payers Meet CMS Real-Time PA Mandates Today

EXECUTIVE SUMMARY

The prior authorization process sits at the intersection of clinical necessity, administrative burden, and regulatory accountability. For decades, health plans have managed it through manual workflows, phone calls, fax machines, and portal-based submissions that consume staff time, delay care, and generate friction across the provider relationship. That model is now facing a hard deadline.

The central finding of this report is this: the majority of health plans are not ready for what CMS requires of them by January 1, 2026, and the cost of unreadiness extends well beyond regulatory penalties.

The CMS Interoperability and Prior Authorization Final Rule (CMS-0057-F), finalized January 17, 2024, mandates that Medicare Advantage organizations, Medicaid and CHIP agencies, and Qualified Health Plan issuers on Federally-facilitated Exchanges implement FHIR-based Prior Authorization APIs by January 1, 2026. A second compliance horizon arrives January 1, 2027, when payers must issue urgent decisions within 72 hours, standard decisions within 7 calendar days, and provide specific clinical or administrative reasons for every denial.

Four key findings shape the analysis that follows.

First, only 20% of payers currently meet the real-time PA approval threshold that CMS mandates, meaning 80% of the market faces a material compliance gap with fewer than 18 months to close it.

Second, 43% of payers have not yet begun API implementation for the PA interoperability rule, a figure that suggests the compliance cliff is steeper than most industry commentary acknowledges.

Third, the industry spends more than $12 billion annually on prior authorization burden, with manual processing costing $11.12 per authorization compared to $2.11 when automated. The economic case for modernization is not marginal.

Fourth, the competitive landscape is consolidating rapidly around AI-enabled automation capabilities. Health plans that treat CMS-0057-F as a compliance exercise rather than a strategic inflection point will find themselves at a structural disadvantage in provider contracting, Star Ratings performance, and member experience.

This report is written for VP and Director-level leaders in Stars, Utilization Management, and Health Plan Operations who must translate regulatory timelines into operational roadmaps and make the case for investment to their executive teams.

SECTION 1: THE LANDSCAPE — FORCES RESHAPING PRIOR AUTHORIZATION

Prior authorization has always been a tension point between health plans and providers. What has changed is the number of forces converging simultaneously to make the status quo untenable. Five structural forces are reshaping the PA landscape, and each carries its own timeline and consequence.

Force 1: Regulatory Mandates with Hard Deadlines

CMS-0057-F is not a guidance document or a best-practice recommendation. It is a final rule with specific technical requirements, specific decision timeframes, and specific effective dates. The rule applies to Medicare Advantage organizations, state Medicaid and CHIP agencies, and QHP issuers on Federally-facilitated Exchanges. It requires impacted payers to build, implement, and maintain an HL7 FHIR Prior Authorization API by January 1, 2026.

The second compliance horizon, effective January 1, 2027, adds decision timeline mandates: 72 hours for urgent requests and 7 calendar days for standard requests. It also requires payers to provide a specific reason for every denial, a requirement that has significant downstream implications for appeals workflows and clinical documentation practices.

CMS projects that the rule will save $15 billion over the next 10 years by reducing administrative burden across physicians, hospitals, and payers. That projection reflects the scale of the inefficiency being targeted. Health plans that move early to automate will capture a disproportionate share of those savings. Those that wait will absorb compliance costs on top of ongoing operational inefficiency.

Exhibit 1: CMS-0057-F Compliance Timeline

Source: Federal Register (2024-02229); CMS.gov; Innovaccer analysis

Force 2: The Electronic Adoption Gap

The transition from fully manual to fully electronic PA has been slower than most industry observers anticipated. According to the 2022 CAQH Index, only 28% of prior authorizations were conducted via fully electronic means using the HIPAA 278 transaction standard. That figure captures the baseline from which payers must now leap to FHIR-based, real-time API capability.

The gap between 28% electronic adoption and the 80% real-time approval rate mandated by CMS represents a fundamental infrastructure challenge. It is not simply a matter of adding a new API endpoint. It requires payers to rearchitect PA workflows, integrate clinical data sources, build rules engines capable of real-time decisioning, and establish bidirectional connectivity with provider systems that are themselves at varying stages of FHIR readiness.

The 43% of payers who have not yet begun API implementation are not behind by a few months. They are behind by an architectural generation.

Force 3: The Economic Unsustainability of Manual Processing

The financial argument for PA automation is no longer a projection. It is a documented reality. The industry spends more than $12 billion annually on prior authorization burden. At the transaction level, manual processing costs $11.12 per authorization. Automated processing costs $2.11, an 81% reduction per transaction.

For health plans managing hundreds of thousands of PA requests annually, the arithmetic is straightforward. A plan processing 500,000 authorizations per year at $11.12 manual cost is spending $5.56 million on PA administration alone. At $2.11 automated cost, that same volume costs $1.055 million. The difference funds meaningful investments in clinical programs, member experience, or Stars performance.

What makes this force structural rather than cyclical is utilization growth. As the population ages and specialty drug approvals accelerate, PA volumes are increasing. A cost model that is already unsustainable becomes more so with each additional request. The manual PA workflow does not scale. Automated PA workflows do.

Exhibit 2: The PA Cost Equation at Scale

Source: Innovaccer verified metrics; calculations based on verified per-auth cost figures

Force 4: Star Ratings Pressure and the PA Connection

For Medicare Advantage plans, prior authorization performance is not a back-office concern. It connects directly to Star Ratings, which determine quality bonus payments and member acquisition capacity. CMS released the 2026 Medicare Advantage Star Ratings in October 2025, based on 2024 performance data. These ratings directly determine bonus payments and plan competitiveness.

The connection between PA and Stars runs through several channels. Delays in PA decisions contribute to care gap creation when members defer or forgo recommended services. Inappropriate denials generate appeals, grievances, and audit risk. Provider friction from burdensome PA processes affects network adequacy and contracting leverage. And CMS's elimination of the Tukey outlier deletion methodology from the 2026 Star Ratings calculation has increased score volatility, meaning plans that previously benefited from statistical smoothing are now exposed to raw performance data.

A health plan that automates PA is not just reducing administrative cost. It is removing a source of care delay, member dissatisfaction, and Stars score drag simultaneously.

Force 5: Competitive Consolidation Around Automation Capability

The vendor landscape for PA automation is consolidating rapidly. Cohere Health, a leading intelligent PA vendor, raised $50 million in February 2023 to scale its AI-driven platform ahead of the CMS deadline. Waystar acquired Myndshft in January 2023, adding real-time medical benefits and PA automation to its revenue cycle portfolio. UnitedHealth Group's acquisition of Change Healthcare for $13 billion, which closed in October 2022, positioned Optum with extensive network and data assets critical for automating PA at scale.

These moves signal that the largest players in the market are treating PA automation as a strategic capability, not a compliance checkbox. Health plans that do not build or acquire comparable capability will find themselves at a disadvantage in provider contracting, where PA friction is a significant point of negotiation, and in member experience, where PA delays are a leading driver of complaint volume.

SECTION 2: THE COST OF INACTION

The compliance cliff is not a metaphor. It is a specific set of operational, financial, and competitive consequences that accumulate for health plans that delay PA modernization. Understanding the cost of inaction requires examining three distinct categories: direct regulatory exposure, operational cost compounding, and competitive positioning deterioration.

Regulatory Exposure

The January 1, 2026 deadline for FHIR PA API implementation is not a soft target. Impacted payers that fail to meet the requirement face CMS enforcement mechanisms, including civil monetary penalties and potential exclusion from federal programs. For Medicare Advantage organizations and Medicaid managed care plans, federal program participation is not optional. The revenue at stake in those lines of business dwarfs any investment required to achieve compliance.

Beyond direct penalties, non-compliant payers face audit exposure. The requirement to provide specific clinical or administrative reasons for every denial, effective January 1, 2027, creates a documentation trail that CMS and state regulators can review. Plans that have been issuing denials without specific justification are building a liability that becomes visible the moment the rule takes effect.

Operational Cost Compounding

For the 43% of payers that have not begun API implementation, the cost of delay is not linear. It is compounding. Every month spent in manual workflows is a month of $11.12-per-auth processing costs that could have been $2.11. At scale, that difference is material.

There is also a staffing dimension. Manual PA workflows require significant clinical reviewer capacity, and that capacity is expensive to recruit, train, and retain in a tight labor market. Health plans that delay automation are not just paying more per transaction. They are building organizational dependency on a workforce model that becomes harder to sustain as volumes grow.

Exhibit 3: The Cost of Delay — Compounding Operational Impact

Source: Calculations based on Innovaccer verified per-auth cost differential ($11.12 manual vs. $2.11 automated); illustrative at 500K annual volume

Stars and Revenue Consequence

For a Medicare Advantage plan, the financial consequence of a Star Rating decline is significant and well-documented within CMS payment structures. PA-related care delays that prevent members from receiving recommended services can affect HEDIS measures, CAHPS scores, and Health Outcomes Survey results, all of which feed into Star calculations.

The removal of the Tukey outlier deletion methodology in 2026 Star Ratings means that plans can no longer rely on statistical smoothing to protect scores from operational underperformance. A plan that has been managing PA delays without addressing their root cause is now exposed to the full performance signal in its ratings data.

The connection is direct: slower PA decisions lead to deferred care, deferred care leads to care gap accumulation, care gap accumulation leads to lower HEDIS scores, and lower HEDIS scores lead to lower Star Ratings. The financial consequence of a one-star decline in a Medicare Advantage plan is substantial enough to justify the entire cost of PA modernization on its own.

Provider Relationship Deterioration

Health plans do not operate in isolation. Their provider networks are their product delivery mechanism, and prior authorization is one of the most significant friction points in the payer-provider relationship. Plans that maintain burdensome manual PA processes face growing resistance from provider groups in contracting negotiations, increasing rates of PA-related disputes, and potential network adequacy challenges as providers selectively contract with plans that offer more efficient administrative processes.

The provider community's frustration with PA is well-documented and growing. Plans that automate PA and reduce turnaround from 14 days to same-day are not just improving their own operations. They are differentiating themselves as preferred partners in a competitive network environment.

SECTION 3: WHAT LEADING ORGANIZATIONS ARE DOING DIFFERENTLY

The 20% of health plans currently meeting the real-time PA approval threshold did not arrive there by accident. They made deliberate strategic investments in data infrastructure, clinical automation, and workflow redesign. Four strategic moves characterize what separates leading organizations from the majority of the market.

Strategic Move 1: Treating CMS-0057-F as an Architecture Decision, Not a Compliance Project

Health plans that are ahead of the compliance curve made a critical early decision: they classified FHIR PA API implementation as a foundational architecture investment rather than a point-in-time compliance project. This distinction matters because it determines scope, budget, and organizational ownership.

A compliance project asks: what is the minimum we need to do to satisfy the rule by the deadline? An architecture decision asks: how do we build PA infrastructure that serves us for the next decade, scales with volume, and integrates with the clinical and administrative systems we already have?

The difference in outcome is significant. Plans that treated CMS-0057-F as a compliance checkbox often built narrow API implementations that satisfy the letter of the rule but do not reduce operational cost, improve decision quality, or connect to broader clinical data. Plans that treated it as an architecture decision built FHIR-compliant infrastructure that also powers real-time clinical decision support, automated appeals, and bidirectional provider connectivity.

The practical implication for health plan leaders is that the technology selection decision matters enormously. A FHIR PA API that sits in isolation from clinical documentation, claims history, and medical necessity criteria cannot deliver the operational value that justifies the investment. The architecture must connect PA to the data sources that make automated decisioning accurate and defensible.

Strategic Move 2: Automating the Full PA Lifecycle, Not Just Submission

Many early PA automation investments focused on submission: getting the request from the provider to the payer faster. That is a necessary but insufficient step. The full PA lifecycle includes detection of PA requirements, clinical packet assembly, submission, status tracking, decision communication, and appeals management. Plans that automate only submission still carry significant manual burden in every other step.

Leading organizations have moved toward end-to-end automation that handles the entire lifecycle. Detection means automatically identifying which services require PA based on the member's benefit design and the requested service. Assembly means pulling together the clinical documentation required to support the request without manual chart review. Submission means transmitting via FHIR-compliant API rather than portal or fax. Tracking means real-time status visibility for both the plan and the requesting provider. Appeals means automated generation of appeal packets when denials are issued.

The economics of end-to-end automation are dramatically different from point-solution automation. The $11.12 manual cost per authorization reflects the full lifecycle burden. Reducing that to $2.11 requires automating the full lifecycle, not just one step. Plans that automate submission but leave assembly and appeals manual will capture only a fraction of the available cost reduction.

Exhibit 4: PA Lifecycle Automation Maturity Model

Source: Innovaccer verified metrics for manual and fully automated endpoints; intermediate estimates are directional

Strategic Move 3: Connecting PA Performance to Stars Outcomes

The most sophisticated health plans have built explicit operational connections between PA performance metrics and Stars performance tracking. This is not a conceptual link. It is a data infrastructure decision.

When PA delays are tracked at the member level and correlated with care gap status, plan leadership can see in near-real time how PA turnaround is affecting HEDIS measure performance. A member whose specialist referral PA is delayed 14 days may miss the measurement window for a HEDIS measure. A member whose medication PA is denied without specific clinical justification may not appeal, simply discontinuing the medication, which affects adherence measures.

Leading plans have built dashboards that surface these connections, allowing VP-level Stars leaders to identify PA bottlenecks that are creating Stars score risk and prioritize automation investments accordingly. This requires unified data infrastructure that connects PA workflow data, clinical records, and Stars measurement data in a single analytical environment.

The operational implication is that PA modernization and Stars improvement are not separate workstreams. They are the same workstream, viewed from different angles. Plans that manage them separately are leaving coordination value on the table.

Strategic Move 4: Building Payer-Provider Connectivity as a Competitive Asset

The January 1, 2027 requirement for Payer-to-Payer data exchange API is part of a broader CMS vision of a connected healthcare data ecosystem. Leading health plans are treating this not as a compliance burden but as an opportunity to build provider connectivity infrastructure that becomes a competitive differentiator.

Plans with broad, reliable, FHIR-compliant provider connectivity can offer providers something genuinely valuable: predictable, fast PA decisions based on complete clinical data. That value proposition changes the provider contracting conversation. Instead of PA being a point of friction, it becomes a point of differentiation.

Innovaccer's approach to this challenge is instructive. The platform works across 100+ payer connections and integrates with clinical documentation to assemble complete clinical packets for PA submission. This breadth of connectivity means that automation benefits are not limited to a subset of provider relationships. They extend across the network, which is where the Stars and administrative cost benefits are actually realized at scale.

The strategic lesson for health plan leaders is that PA connectivity is a network effect asset. The more provider relationships that are connected to automated PA workflows, the more valuable the infrastructure becomes, and the harder it is for competitors to replicate quickly.

SECTION 4: BUILDING THE INFRASTRUCTURE — A PRACTICAL FRAMEWORK

Closing the compliance gap requires a phased approach that sequences investments by urgency, dependency, and return. Health plans at different stages of PA modernization need different starting points, but the destination is the same: a FHIR-compliant, AI-enabled PA infrastructure that meets CMS-0057-F requirements and delivers measurable operational ROI.

Exhibit 5: PA Modernization Maturity Framework

Phase 1: Establish the Foundation

The first priority for any health plan that has not yet begun API implementation is establishing the technical foundation. This means selecting a FHIR-compliant PA platform, mapping current PA volume by service type and payer line of business, and establishing a cost baseline that will anchor ROI measurement.

The foundation phase also requires organizational decisions: who owns PA modernization (IT, clinical operations, or compliance), how implementation will be resourced, and how success will be measured. Plans that treat this as purely an IT project tend to underinvest in clinical workflow redesign. Plans that treat it as purely a clinical project tend to underinvest in technical infrastructure. The most successful implementations are joint ownership models with clear accountability.

Platform selection at this stage is consequential. A PA automation platform that requires rip-and-replace of existing UM infrastructure creates implementation risk and timeline pressure. Platforms that integrate with existing EHR and UM systems, while adding FHIR-compliant API capability on top, reduce implementation friction and accelerate time to compliance. Innovaccer's Flow Auth, for example, works alongside existing RCM vendors and connects via 80+ EHR integrations, which means health plans do not need to rebuild their core infrastructure to achieve compliance.

Phase 2: Automate High-Volume, High-Confidence Workflows

The second phase focuses on deploying automation where it delivers the fastest return: high-volume, high-confidence PA requests where clinical criteria are well-defined and denial rates are low. These are the requests that consume the most staff time while requiring the least clinical judgment. Automating them frees clinical reviewers to focus on complex cases where human judgment genuinely adds value.

Rules-based auto-approval for these request types can move a significant portion of PA volume off manual pathways quickly. The key requirement is that the rules engine be connected to current benefit design, clinical criteria, and member eligibility data. Rules that are not grounded in current data produce incorrect decisions, which create downstream appeals burden and audit risk.

Phase 3: Deploy AI for Clinical Decision Support and Appeals

The third phase moves from rules-based automation to AI-driven clinical decision support. This is where the compliance requirement for specific denial reasons becomes an operational asset rather than a burden. AI systems that can generate specific, clinically grounded denial reasons from the member's clinical record are not just satisfying a regulatory requirement. They are producing documentation that supports defensible, auditable decisions and reduces successful appeals rates.

Automated appeals management is a significant operational opportunity that most health plans have not yet addressed. The cost of processing an appeal manually is multiples of the original PA cost. AI systems that can generate appeal response packets from clinical documentation, track appeal deadlines, and route complex appeals to appropriate clinical reviewers can dramatically reduce appeals cycle time and cost.

Phase 4: Integrate PA Performance with Stars and Provider Connectivity

The fourth phase connects PA infrastructure to the broader operational ecosystem: Stars performance tracking, provider portal connectivity, and Payer-to-Payer data exchange. This is where the investment in PA modernization begins to generate returns beyond direct cost reduction.

The data infrastructure required for this phase is the same unified data platform that supports Stars measurement, care management, and quality reporting. Health plans that have already invested in unified data infrastructure can accelerate this phase significantly. Plans that are building PA automation on top of siloed data systems will need to address data integration as a parallel workstream.

SECTION 5: IMPLICATIONS BY STAKEHOLDER

VP/Director, Stars and Quality

The prior authorization compliance deadline is a Stars performance event, not just a regulatory one. The connection between PA turnaround time and care gap accumulation is direct and measurable. Your immediate priority is to map which HEDIS measures are most vulnerable to PA-related care delays and quantify the Stars score risk in your current PA turnaround data.

In the next 90 days, request a PA performance analysis that segments authorization turnaround by service type and correlates delays with care gap status at the member level. If your plan does not have the data infrastructure to produce that analysis, that gap is itself a finding that requires action. The 2026 Star Ratings are based on 2024 performance data, which means the measurement window for improving scores through PA modernization is already open.

SVP/VP, Utilization Management

Your function owns the operational reality of PA compliance. The 43% of payers that have not begun API implementation are, in many cases, UM organizations that have not yet made the case to technology and finance leadership for the investment required. The economic argument is now straightforward: the cost differential between manual and automated PA, at your plan's actual volume, produces a savings figure that dwarfs implementation cost in most scenarios.

In the next 90 days, establish your current PA cost baseline using the $11.12 manual cost benchmark as a reference point. Map your PA volume by service type, identify the highest-volume, lowest-complexity request categories, and build the business case for Phase 1 and Phase 2 automation investment. The January 2026 deadline is close enough that timeline risk is now a material factor in the investment case.

CIO/CTO, Health Plan Technology

The FHIR PA API requirement is a specific technical mandate with a specific effective date. If your organization is among the 43% that have not begun implementation, the timeline for building, testing, and deploying a compliant FHIR endpoint is now compressed. A 12-month implementation timeline, which is reasonable for a well-scoped project, leaves almost no margin for delay if you begin in early 2025.

In the next 90 days, assess your current FHIR infrastructure maturity, identify the integration points between PA workflows and your existing EHR and UM systems, and evaluate whether to build, buy, or partner for FHIR PA API capability. The key evaluation criterion is not just CMS compliance but operational ROI: a FHIR endpoint that satisfies the rule but does not reduce per-auth cost or improve turnaround time is a compliance cost, not a compliance investment.

CFO, Health Plan Finance

The financial case for PA modernization is now both offensive and defensive. Offensively, the cost reduction from $11.12 to $2.11 per authorization at scale produces savings that are meaningful at any volume above 100,000 annual authorizations. Defensively, non-compliance with CMS-0057-F creates regulatory exposure in federal program lines of business that represent a significant portion of most health plans' revenue.

In the next 90 days, request a total cost of ownership analysis for your current PA operations that includes staff cost, technology cost, and appeals processing cost. Compare that against the projected cost of a fully automated PA infrastructure at your current and projected volume. The ROI calculation, properly scoped, typically supports investment approval within a single budget cycle.

SECTION 6: CONCLUSION

The prior authorization compliance cliff is real, proximate, and consequential. The CMS Interoperability and Prior Authorization Final Rule (CMS-0057-F) establishes specific technical requirements, specific decision timelines, and specific effective dates that leave no room for ambiguity about what is required or when.

The central thesis of this report bears restating: the majority of health plans are not ready, and the cost of unreadiness extends well beyond regulatory penalties. The $12 billion annual industry cost of prior authorization burden, the 14-day average turnaround that delays care and drives Stars score risk, and the 43% of payers that have not yet begun API implementation collectively describe a market at a genuine inflection point.

What separates leading organizations from the majority is not access to superior technology or larger budgets. It is the decision to treat CMS-0057-F as a strategic architecture investment rather than a compliance checkbox, to automate the full PA lifecycle rather than a single step, and to connect PA performance to the broader operational metrics that determine competitive positioning.

The health plans that emerge from this compliance period in the strongest position will be those that used the regulatory deadline as the catalyst for building PA infrastructure that serves them for the next decade. That infrastructure reduces administrative cost, improves provider relationships, supports Stars performance, and scales with utilization growth without adding headcount.

The deadline is fixed. The gap is documented. The path forward is clear for organizations willing to move with appropriate urgency.

METHODOLOGY AND SOURCES

1. Centers for Medicare and Medicaid Services. "CMS Interoperability and Prior Authorization Final Rule (CMS-0057-F)." CMS.gov Fact Sheet. January 17, 2024. https://www.cms.gov/newsroom/fact-sheets/cms-interoperability-and-prior-authorization-final-rule-cms-0057-f

2. U.S. Department of Health and Human Services. "HHS Finalizes Rule to Speed Prior Authorization Process, Strengthen Health Data Exchange." HHS.gov News Release. January 17, 2024. https://www.hhs.gov/about/news/2024/01/17/hhs-finalizes-rule-speed-prior-authorization-process-strengthen-health-data-exchange.html

3. Federal Register. "Medicare and Medicaid Programs; Patient Protection and Affordable Care Act; Interoperability and Prior Authorization." Document 2024-02229. Published February 8, 2024. https://www.federalregister.gov/documents/2024/02/08/2024-02229

4. CAQH. "2022 CAQH Index: A Report on Electronic Adoption in Healthcare." Council for Affordable Quality Healthcare. 2022. https://www.caqh.org/sites/default/files/explorations/index/2022-caqh-index.pdf

5. Innovaccer. "Prior Authorization Theme: Verified Metrics and Product Capabilities." Innovaccer Knowledge Base. 2024. Internal reference.

6. Innovaccer. "Campaign Brief: Prior Authorization Modernization for Health Plans." Innovaccer Marketing Intelligence. 2024. Internal reference.

7. Cohere Health. Company Funding Announcement. February 2023. [NEEDS VERIFICATION — cited from research brief provided; verify against primary source before publication]

8. Waystar. "Waystar Acquires Myndshft." Press Release. January 2023. [NEEDS VERIFICATION — cited from research brief provided; verify against primary source before publication]

9. UnitedHealth Group / Optum. Change Healthcare Acquisition. October 2022. [NEEDS VERIFICATION — cited from research brief provided; verify against primary source before publication]

10. Centers for Medicare and Medicaid Services. "2026 Medicare Advantage Star Ratings." CMS.gov. Released October 2025. Internal Innovaccer knowledge base reference.

Exhibit 6: The PA Compliance Readiness Spectrum

Source: Innovaccer verified metrics (20% compliance rate; 43% not begun); middle category derived by subtraction

ABOUT INNOVACCER

Innovaccer is the Agentic Cloud for Healthcare, unifying data and deploying AI agents across clinical, operational, and financial workflows. Serving 1 in 6 Americans through 54 million unified patient records and 400+ pre-built data connectors, Innovaccer's purpose-built platform earned the KLAS Award for #1 Data Analytics Platform for both Providers and Payers in 2026. Flow Auth, Innovaccer's AI prior authorization automation solution, automates the full PA lifecycle from detection through appeals, delivering FHIR-compliant, healthcare-specific automation that reduces turnaround from days to hours.

To see how your health plan can close the compliance gap and build a PA infrastructure that delivers ROI in months, request a personalized demo at https://innovaccer.com/request-a-demo-in