Days in AR, Multi-Specialty Group
14 providers · Multi-Specialty GroupA 34% reduction in days in AR within two quarters of switching, driven by legacy claim clean-up and weekly denial follow-up.
Straight answers to common questions, plus a look at how other practices have improved their revenue cycle.
Most practices are fully onboarded within 2–4 weeks, depending on payer credentialing status and how much historical AR needs review. Current claims are rarely interrupted during the transition.
Yes. We integrate with major EHR/PM platforms and adapt to your existing workflow rather than asking you to switch systems.
Always. You get real-time access to claim status and monthly performance reports — nothing is locked behind a black box.
We run a dedicated legacy AR clean-up project alongside your new claims, working aging balances by payer and claim age instead of writing them off.
Every process we run is built around HIPAA safeguards, from data handling to system access controls.
Yes — Provider Credentialing and Provider Enrollment are both standalone services, and are often bundled with billing for new practices.
Most engagements are priced as a percentage of collections, so our incentives stay aligned with getting your claims paid. We'll walk through options during your free consultation.
From solo providers to multi-specialty groups. Our process scales — you're not squeezed into a workflow built for a much bigger or smaller practice.
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4 min readA 34% reduction in days in AR within two quarters of switching, driven by legacy claim clean-up and weekly denial follow-up.
Clean claims rose from roughly 91% to 99% after standardizing time-based coding and telehealth billing rules.
A practical breakdown of the KPIs, denial patterns, and AR benchmarks every practice should track — written for office managers, not analysts.
Gemini Code Assist for individuals is globally available and powered by Gemini 2.0. It supports all programming languages in the public domain, and importantly, it’s optimized for coding. We fine-tuned the Gemini 2.0 model for developers by analyzing and validating a large number of real-world coding use cases. As a result, the quality of AI-generated recommendations in Gemini Code Assist is better than ever before and ready to address the myriad of daily challenges developers face, whether they’re hobbyists or startup developers.
While other popular free coding assistants have restrictive usage limits, with usually only 2,000 code completions per month, we wanted to offer something more generous. We’re offering practically unlimited capacity with up to 180,000 code completions per month using Gemini Code Assist – a ceiling so high that even today’s most dedicated professional developers would be hard-pressed to exceed it.
But AI isn’t just an accelerant for writing code; it can also help us write better code. A quality and efficient code review process is critical; yet code reviews are often time consuming and stand in the way of getting things done. So we’re also helping reduce the time it takes developers to perform code reviews with the public preview of Gemini Code Assist for GitHub, which provides free, AI-powered code reviews for both public and private repositories.
Gemini Code Assist for individuals is globally available and powered by Gemini 2.0. It supports all programming languages in the public domain, and importantly, it’s optimized for coding. We fine-tuned the Gemini 2.0 model for developers by analyzing and validating a large number of real-world coding use cases. As a result, the quality of AI-generated recommendations in Gemini Code Assist is better than ever before and ready to address the myriad of daily challenges developers face, whether they’re hobbyists or startup developers.
While other popular free coding assistants have restrictive usage limits, with usually only 2,000 code completions per month, we wanted to offer something more generous. We’re offering practically unlimited capacity with up to 180,000 code completions per month using Gemini Code Assist – a ceiling so high that even today’s most dedicated professional developers would be hard-pressed to exceed it.
But AI isn’t just an accelerant for writing code; it can also help us write better code. A quality and efficient code review process is critical; yet code reviews are often time consuming and stand in the way of getting things done. So we’re also helping reduce the time it takes developers to perform code reviews with the public preview of Gemini Code Assist for GitHub, which provides free, AI-powered code reviews for both public and private repositories.