Running a pathology lab is hard enough without chasing down underpayments, resubmitting claims, or playing phone tag with payers. Yet many U.S. labs are losing thousands each month because of outdated beliefs about pathology billing and coding services.
Let’s bust some of the most common myths we hear from labs and
As part of an aggressive rate cut, CMS has issued the Health Prospective Payment System (HPPS) Proposed Rule for CY 2026. This proposed rule will impact home health billing and OASIS coding and should be a primary consideration for
When it comes to healthcare accounts receivable (AR) and denial management, too many providers are stuck playing whack-a-mole. A denial pops up here, you swing. Another one appears there, you swing again. The problem? By the time one batch of
U.S. healthcare providers know the routine all too well: treat patients, submit claims, and then… wait. Some payments clear, others return with puzzling denial codes, while A/R days pile up like unread emails. But here’s the reality: these “surprises” are rarely surprises at all. The clues are hiding in your data. The real question is – are you looking at it the right way?
Standard healthcare revenue cycle reports are like scorecards after a game: they tell you what happened, but not why you lost or how to play better next time. You’ll see claims submitted, collections posted, and A/R aging. But without context or root cause insight, it’s just a set of numbers with no clear path to improvement.
Advanced RCM analytics, on the other hand, is your playbook. It shows you:
That’s a huge shift in your revenue intelligence engine. It’s moving from “post-game recap” to “sideline coaching.”
Nobody wakes up eager to sift through endless spreadsheets. (If you do, we should talk.) Our brains are wired for visuals, which is why intuitive dashboards are so powerful. The right visualization instantly highlights patterns and outliers – like spotting a denial spike tied to one procedure code or realizing one payer’s turnaround time has doubled.
Interactive dashboards drive accountability. When front-office staff, coders, and A/R teams all see the same truth in real time, collaboration stops being a buzzword and becomes the default.
Here’s where the real transformation begins. Layer AI and natural language processing on top of analytics, and you move from monitoring to predicting and prescribing:
AI-driven analytics means fewer revenue shocks, fewer emergency fire drills, and more time spent actually improving the patient and provider experience.
The key isn’t to boil the ocean. Start small, but smart:
The goal isn’t dashboards for the sake of dashboards. It’s creating insights that make the healthcare revenue cycles shorter, cleaner, and more predictable.
Here’s the kicker: analytics are only as powerful as the access you get to them. Too often, providers partner with RCM vendors who treat reporting like a “deliverable” instead of a window into their own business.
At 3Gen Consulting, we take the opposite approach. Every engagement comes with analytics dashboards baked in – denial patterns, A/R benchmarks, payer scorecards, the works – so you’re never left guessing. It’s not about handing you numbers; it’s about giving you clarity and control.
Because at the end of the day, getting paid in healthcare is complicated enough. Your analytics shouldn’t be. If you’d like to see how 3Gen Consulting brings clarity and transparency to revenue cycle management, we’d love to connect.
The upcoming ICD-10 codes for 2026 promise pertinent changes for revenue cycle departments. To help your leadership prepare and make positive strategic choices that support the financial health of your organization, we’ve compiled this summary of the newest ICD-10 code updates. Delaying implementing these changes can have a significant negative impact on your organization and team. This includes increased stress for your staff, worsening denial rates, and increasing costs of training and
