White Papers

Underpayments are one of the most persistent, and least visible, forms of revenue leakage in radiology. Unlike denials, underpayments rarely trigger alerts. Claims are adjudicated. Payments post. Accounts close. And yet reimbursement falls short of contracted expectations. This white paper is your guide to building a repeatable recovery engine across modalities, locations, and payers.

Independent emergency medicine groups are operating in one of the most volatile financial environments in modern healthcare. This white paper outlines the economic realities facing independent EM groups, why their revenue cycles are uniquely vulnerable, and how building the right technology foundation, particularly around clearinghouse intelligence and automation, can protect long-term independence.

Payer performance analytics give radiology leaders a clearer lens into this external risk. This white paper explores what payer performance really means in imaging, the metrics that matter most, common sources of preventable revenue loss, and how analytics can transform RCM into a proactive, strategic function.

For oncology practices, payer behavior has become one of the most significant, and least transparent, drivers of financial performance. High-cost drugs, complex authorization requirements, inconsistent reimbursement methodologies, and payer noncompliance with contract terms have created an environment where revenue loss is often systemic, recurring, and difficult to detect. This white paper explores why payer performance analytics are now essential for oncology leadership.

Anesthesia revenue cycle operations face growing pressure from aggressive payers, expanding subsidy scrutiny, and regulatory complexity—challenges amplified by the specialty’s uniquely complex billing and reimbursement structures. Many practices rely on generic RCM platforms that fail to account for anesthesia-specific realities, leading to revenue leakage, underpayment, and limited financial visibility. This white paper explores how anesthesia groups can modernize RCM with specialty-driven intelligence and actionable analytics to defend value, optimize performance, and sustain financial stability.

As healthcare shifts to performance-based reimbursement, organizations must prove improvements in quality, timeliness, and patient experience. Follow-up care is a critical, but often missed, performance lever driving both outcomes and revenue. RADNAV®, ImagineSoftware’s AI-driven follow-up coordination platform, helps close care gaps and turn measurable improvement into pay-for-performance revenue.

Performance-based reimbursement is no longer out of reach. Payers and hospital partners are paying providers for measurable improvements in quality, timeliness, and patient experience—but only when results can be proven. In this white paper, learn how AI makes this possible by unifying data, automating follow-up workflows, and delivering contract-ready reporting, AI transforms quality from a compliance burden into a scalable revenue opportunity.

Is your organization ready to participate in performance-based contracting? Our one-page Pay-for-Performance Readiness Checklist helps executive teams quickly assess operational readiness across the five pillars that matter most: leadership alignment, payer opportunity, data & technology, workflow execution, and reporting and governance.

Oncology practices operate in one of the most financially complex environments in healthcare. High-cost drugs, evolving payer rules, prior authorization requirements, and chronic staffing shortages have turned RCM into a strategic risk area – not just an operational function. Yet many oncology practices continue to lose significant revenue quietly and consistently, without clear visibility into where or why it’s happening. This white paper examines the primary sources of revenue loss, plus how how modern oncology leaders are using automation, analytics, and centralized intelligence to build financial resilience.

In anesthesiology, every minute counts – both in the operating room and on the balance sheet. Yet for many anesthesia groups, hidden inefficiencies in the revenue cycle quietly drain hundreds of thousands of dollars each year. From incomplete data capture to payer-specific coding errors and slow claim follow-up, revenue leakage is a silent but solvable problem. This white paper explores how anesthesia practice leaders can identify and quantify revenue leakage, where the most common breakdowns occur, and how technology platforms like ImagineOne empower practices to recover lost revenue, improve transparency, and sustain financial strength.

By equipping intelligent agents with goals, tools, and the ability to act autonomously within ImagineSoftware’s ImagineCo-Pilot® platform, revenue cycle teams can now bridge the gap between recommendation and resolution. These self-directed systems don’t just suggest what should be done – they do it. This white paper explores how Agentic AI within ImagineCo-Pilot completes the “last mile” of RCM automation, delivering measurable efficiency, accuracy, and financial return.

This white paper explores how ImagineSoftware’s radiology revenue cycle management platform, ImagineOne, achieves “touchless throughput”: a fully automated revenue cycle that processes the majority of encounters without manual touch. Through intelligent data normalization, translation-based coding, scrub logic, and exception-driven workflows, radiology organizations can accelerate claim velocity, reduce denials, and improve staff efficiency, all while maintaining compliance and data integrity.