How to Unlock Smarter, More Cost-Effective Care with Stewardship
Sponsored by
Premier
March 4, 2026
In a turbulent era, hospitals and health systems must lean into strategies that use resources more wisely and help reduce costs without sacrificing quality.
Clinical financial decision support tackles this challenge, helping to reduce unnecessary utilization and supporting safer, more cost-conscious decisions without interrupting the flow of care. Seamlessly integrated with any EHR, Premier's Stanson Health Stewardship solution surfaces real-time cost, quality and clinical insights — delivering an average of $94 saved per patient stay.*
Download the e-book today to learn how Stewardship can transform your clinical and financial outcomes.
*Premier internal data; independently validated by active customers
How Pharmacy Technology Enabled a Health System to Thrive
Sponsored by
Cardinal Health
February 19, 2026
In recent years, a multi-hospital health system faced a common industry challenge: debilitating pharmacy labor shortages amid financial losses.
The health system knew it needed to continue providing vital healthcare services to its communities, which include sparsely populated areas with a high population of uninsured and underinsured patients.
To quickly prevent patient care gaps and address financial challenges, the health system needed additional help and turned to Cardinal Health for support.
Download the report to see how pharmacy technology enabled this health system to thrive.
Healthcare leaders are bracing for a dramatic restructuring of Medicaid, set in motion by the One Big Beautiful Bill Act (OBBBA). The legislation targets Medicaid financing with over $1 trillion in projected spending cuts over the next decade. Rapidly changing work requirements, eligibility standards, copayment rules, and state financing regulations are forcing health systems to quickly adapt their operations and financial planning.
A recent HealthLeaders webinar, “Adapting to the Changes in Medicaid Policies: The Role of Automation and Expert Solutions,” sponsored by Optum, outlined the scope and timeline of these changes and offered tangible strategies for healthcare organizations to protect margins, maintain compliance, and support access to care for vulnerable populations.
The ROI of AI in healthcare payments: Which metrics matter?
Sponsored by
Waystar
February 18, 2026
In healthcare payments, artificial intelligence (AI) is already delivering ROI — increasing cash flow by 22%, boosting denial prevention by 27%, and lifting workforce efficiency by 36%.
Yet many leaders are still asking: Which metrics must you track to gauge AI success?
How to measure the ROI of AI in healthcare payments
This eBook reveals the metrics that leading healthcare organizations track to prevent denials, speed appeals, and ultimately collect more revenue. Uncover the specific KPIs you need to define — and achieve — success, from cost-to-collect to denial rate.
What’s inside
Top metrics healthcare finance and IT leaders are tracking
The impact of AI on denial prevention and mitigation
How organizations are using AI to eliminate 80% of manual work
The outcome-based KPIs you need to track now
Predictions for which healthcare AI investments will maximize ROI
The hidden revenue loss hospitals rarely see until it’s too late.
Hospitals focus heavily on denials — but denials are only part of the problem.
Across the U.S., hospitals are losing millions each year to incomplete or inconsistent documentation that understates the true complexity of care delivered. Beyond visible denials lies a larger, quieter margin gap: the “Silent Payer Discount,” where earned revenue is quietly forfeited because documentation fails to fully support severity of illness or intensity of services.
This whitepaper examines how denials and the Silent Payer Discount stem from the same root cause: breakdowns in the mid-revenue cycle, where clinical insight, coding accuracy and compliance must align before billing.
Drawing on data from hundreds of hospitals, the report outlines how organizations are closing this gap by strengthening documentation accuracy upstream before claims ever reach the payer.
Inside the whitepaper:
Why hospitals forfeit an estimated $3-6M per 10,000 discharges without a single denial
How mid-revenue cycle breakdowns drive both denials and underpayment
Where documentation gaps most commonly trigger revenue loss
How clinically governed review models are improving accuracy before billing
AI Meets Expertise: Smarter Medical Coding Automation with Hybrid Intelligence
Sponsored by
AGS Health
February 11, 2026
Health information management (HIM) leaders face mounting challenges in documentation complexity and coding accuracy, workforce constraints, and compliance and operational efficiency concerns, driving increased focus on autonomous medical coding. This white paper explores how hybrid intelligence combines the speed and scalability of AI with human expertise to transform HIM operations. Learn how autonomous coding, when strategically integrated into a hybrid intelligence model, can reduce denial rates, accelerate payment cycles, and empower HIM professionals to focus on high-value tasks.
Download this comprehensive, experience-based guide to uncover actionable strategies for implementing autonomous coding within a hybrid intelligence framework. Gain practical insights into how automation delivers the most value today, where human oversight and clinical judgment remain essential, and how to design scalable workflows that improve accuracy, turnaround time, and revenue integrity without increasing risk.
What You’ll Learn
Understand the capabilities and limitations of autonomous coding and how it fits into a hybrid intelligence model.
Learn how AI and human expertise can work together to improve coding accuracy, compliance, and efficiency.
Explore the strategic operating model for hybrid intelligence, including technology infrastructure, human capital optimization, and governance.
Discover how to prepare your workforce for successful implementation through change management and upskilling programs.
Assess your healthcare organization’s readiness for autonomous medical coding adoption.