We understand your KPI’s and adopt the best practices in Revenue Cycle Management (RCM). We help Hospitals, Providers, and Large Health Systems make use of Transform RCM™ for efficient and effective revenue cycle management. This process helps generate an optimal rate of cash collections through accelerated account resolution, minimized revenue leakage, and operating expenses. We understand the journey right from the initial pre-claim generation stage. We have considered the five most important proven metrics you should be tracking to grow your healthcare business. We like to compare our performance against industry standards in some of the most critical performance metric categories.
We have considered the five most important proven metrics you should be tracking to grow your healthcare business.We like to compare our performance against industry standards in some of the most critical performance metric categories.
Clean Claim Rate
Waterlabs Benchmark
>98%
Industry Benchmark
77%
Net Collection Rate
Waterlabs Benchmark
97%
Industry Benchmark
90%
Denial Rate
Waterlabs Benchmark
< 5%
Industry Benchmark
12%
AR Days
Waterlabs Benchmark
< 30 Days
Industry Benchmark
45 Days
AR Over 90 Days
Waterlabs Benchmark
< 5%
Industry Benchmark
20%
AR Follow Up TAT
Waterlabs Benchmark
< 10 Days
Industry Benchmark
45 Days
Claim/Charge Lag
Waterlabs Benchmark
24 Hrs.
Industry Benchmark
72 Hrs.
Statement lag
Waterlabs Benchmark
24 Hrs.
Industry Benchmark
72 Hrs.
TRANSFORM RCM™
Insights, Success Stories & Awards
The resilience of the RCM process comes with its repeatability of efficiency.
The lack of using technology can challenge the workflow, data accuracy, and potential cash flow of any organization. We are in a world where more for less is imperative. Waterlabs solutions focus on streamlining and upkeeping organizational performance, eliminating time-consuming tasks and checking error-prone processes. The automation of standard operations helps human resources focus on crucial and value-added tasks that hospitals, Providers, Health Planners, and Large Health Systems need.
Machine Learning is a sub-area of artificial intelligence, whereby the term refers to the ability of IT systems to independently find solutions to problems by recognizing patterns in databases.
Machine Learning is a sub-area of artificial intelligence, whereby the term refers to the ability of IT systems to independently find solutions to problems by recognizing patterns in databases.
Neural networks were inspired by the architecture of the biological visual cortex. Deep learning is a set of techniques for learning in neural networks that involves a large number of “hidden” layers to identify features
As a human, you may speak and write in English, Spanish, or Chinese. But a computer’s native language – known as machine code or machine language – is largely incomprehensible to most people.
We believe that AI will change how enterprises work in the future. Waterlabs helps them overcome several challenges in adopting this powerful and rapidly evolving technology to derive higher value and better customer experience.