Accubills' Use of Zi-Bills to
Increase RCM Efficiency
A Company All Set for Change
The U.S.-based, mid-sized RCM business Accubills focuses on billing behavioral and rehabilitation clinics. Even though they had experience managing healthcare revenue, their prior system was a patchwork of semi-automated technologies and required a lot of manual labor, particularly for processing claims. Still, some problems surfaced with the use of this structure, including high claim denial rates, rising A/R days, and staff members who were always bogged down in billing paperwork.
The leadership team was aware that something had to yield.
Challenges Confronted:
Accubills was encountering several operational obstacles:
- Frequent rejections of claims because of erroneous or a lack of appropriate coding.
- An unsettling increase in accounts receivable (A/R) days, which was delaying the flow of income.
- Due to the manual tracking and correction of claims, the team was overburdened.
- The inefficiencies weren't only annoying but also expensive and time-consuming.
Solution : Zi-Bills:
Zi-Bills was introduced as a custom-built, SaaS-based platform designed to streamline revenue cycle management (RCM) with advanced features like auto-claim validation, automated clearinghouse integration, and real-time dashboards. Built on the MERN stack (MongoDB, Express, React, and Node.js) and seamlessly integrated with Change Healthcare and Availity, it delivers a comprehensive end-to-end solution for modern healthcare billing needs. It is packed with innovative features like:
- Auto-validation of claims
- Integration with an automated clearinghouse
- Dashboards for employees and clients in real time
- Compared to their prior configuration, it was a significant change, and the team worked hard to make it happen.
- Easy Implementation with firm Assistance
Revolutionary Approach
Accubills took a calculated approach to the changeover. This is how they managed to make it stick:
- Used training videos and in-person meetings to onboard clinical and billing personnel.
- Created an understandable workflow transition map to ensure a seamless move from manual to automated processes.
- Developed a staging environment that is QA-friendly so that everything can be tested before going live.
- Established a dedicated support ticket system and weekly syncs to handle any issues promptly.
- Although it took time, it was planned, deliberate, and cooperative.
Results in Data
| Metric | Before AI (Pre-AI) | After AI (Post-AI) | Growth % |
|---|---|---|---|
|
Clean Claim Rate
|
82%
|
96%
|
+17.07%
|
|
Claim Denial Reduction
|
14%
|
6%
|
-57.14% (improvement)
|
|
A/R Days
|
35 days
|
22 days
|
-37.14% (faster payments)
|
|
Staff Productivity
|
70 claims/day
|
115 claims/day
|
+64.28%
|
|
Time to Reimbursement
|
21 days
|
13 days
|
-38.09%
|
|
Billing Error Rate
|
9%
|
3%
|
-66.66%
|
The results show a promising change post implementation as compared to the previous results if we talk of clean claim rate it came out to be 96 percent post AI implementation which was 82 percent before AI. it showed 17.7% growth.
Claim denial is the major issue confronted and AI implementation reduced the chances to less than half what it was initially. It was 14 % before AI implementation and it reduced to 6 % which is a big achievement.
A/R Days also reduced to 22 days post AI implementation which used to take 35 days initially. Which indicates 37.14 % faster payments.
Staff productivity: if we talk in terms of staff productivity, it increased to 64.28 percent as initially 70 claims used to be filed in day and it surged to 115 claims per day.
Time of Reimbursement : Reimbursement days reduced to one week , and it showed 38.09% faster reimbursement.
Billing error rate: billing errors create a big issue, earlier the billing error rate was 9% however it has reduced to 3% which clearly indicates 66.66% decline post AI implementation.
To put in few words all the major spheres saw a massive change for better, which implies that AI is working as a great support system and reduced the chances of errors as well as helped in better productivity.
Concluding Remarks
Moving to Zi-Bills was a wise business move for Accubills, not just a technological advancement. The company is now better able to handle the complexity of contemporary RCM while scaling effectively, thanks to fewer mistakes, faster claims, and happy clients. At last, their team has more time to concentrate on what matters most: providing the clinics they assist with exceptional service.
