Everything you wish someone told you about automating RCM
From failed bots to million-dollar recoveries – stories, frameworks, and lessons from the field.
Featured insights
.png)
.png)
.png)
XiFin - 101 Guide
When a private equity firm holds a healthcare technology company for twelve years–nearly double the industry standard–it tells a story. Whether that narrative speaks to product maturity or exit market challenges remains an open question, and one that diagnostic billing leaders should answer before signing multi-year contracts with XiFin. This article is exactly about this.
.png)
"Underpayment Recovery" - Term Explanation
Underpayment Recovery is the process of identifying and pursuing claims where payers paid less than the contractually agreed allowable. Underpayments are pervasive and silent — industry estimates put 3–10% of paid claims at underpaid — and largely invisible without systematic contract comparison at the point of payment posting. Automation makes recovery viable at scale.
.png)
"Claim Turnaround Time (CTT)" - Term Explanation
Claim Turnaround Time (CTT) measures the average days from claim submission to payment receipt and posting. Best-in-class: 14–21 days for electronic claims. Anything beyond 45 days signals systemic billing cycle issues — and directly inflates your Days in AR.
.png)
"Reimbursements" - Term Explanation
Reimbursements are the payments healthcare providers receive from insurers, government payers, or patients for covered services delivered. Understanding how reimbursement rates are set, where revenue leaks between allowed and collected amounts, and how to maximize compliant reimbursement is the foundation of revenue cycle strategy — and where automation delivers its most direct financial return.
.png)
"Prior Authorization (Pre-Auth)" - Term Explanation
Prior Authorization is the payer's requirement for advance approval before specific treatments, procedures, or medications are delivered. It is among the highest-volume administrative burdens in healthcare — 13 hours per physician per week on average (AMA). Automation reduces each auth cycle from 20–45 minutes to minutes, eliminating auth-related denials and accelerating patient access to care.
.png)
"Predictive Analytics" - Term Explanation
Predictive Analytics in RCM uses statistical models and machine learning to forecast outcomes before they occur — identifying claims likely to be denied, patients unlikely to pay, and AR accounts at write-off risk. It converts reactive RCM operations into proactive ones, enabling intervention before revenue is lost rather than after. Prevention costs 5–10x less than remediation.
.png)
Medicare ICGP | 2026
The Center for Medicare & Medicaid Services is shifting from reactive auditing to the ICGP, a machine-learning engine that flags billing patterns in real time. This transition forces mid-sized hospitals to choose between immediate investment in compliance architecture or facing 100–150% higher remediation costs. With resolution windows compressing and accounts receivable days climbing, the financial margin for error has effectively disappeared. Can any CFO truly afford to delay these critical system upgrades until the first automated audit lands ? We'll try to answer that in the following article.
.png)
"Posting Correspondence" - Term Explanation
Posting Correspondence refers to the official payer documentation — EOBs and ERAs — detailing how each claim was processed, what was paid, what was adjusted, and why. Processing it accurately and promptly is foundational to payment posting, denial management, and underpayment identification. Every unprocessed EOB is delayed cash and a missed denial you can't see.
.png)
Epic Automation | 2026
Automation is no longer a future promise in healthcare - it is an operational imperative. Rising labor costs, increasing payer complexity, shrinking reimbursement margins, and the relentless administrative burden on clinical staff have made manual processes untenable at scale. Epic Systems, which powers the electronic health records of more than 300 million patients across the United States, has positioned itself as a central platform for healthcare automation. But the distance between what Epic's automation features can do and what most organizations actually extract from them remains significant.This guide is written for healthcare IT professionals, practice managers, and revenue cycle leaders who need to move beyond the marketing overview and understand what Epic automation actually involves - the mechanics, the metrics, the mistakes, and the path forward.