AI workforce
for healthcare RCM
Meet your new AI workforce
Meet Amy
Your new medical coder
Completely autonomous coding
Understands medical context
Compliant with latest coding guidelines
Meet Marc
Your new medical biller
Handles billing end-to-end
Aids with denial management
Consistent follow-ups
Exceptional Results
15% Higher
Collections
60% Lower
Costs
30% Reduction
in A/R Days
75% Reduction
Claim Denials
Enhance your RCM operations with AI-Powered Workforce
Superior Quality
Capable of understanding complex medical notes, Amy has an astonishingly high accuracy of 99.2%, ensuring all your charts are correctly coded
Adherence to Guidelines
Medical coding guidelines evolve faster than a human can keep up with. That’s where AI medical coding comes to the rescue. Amy finds the optimal codes for each case, ensuring full compliance.
Faster and Cost Effective
Amy brings the best of both worlds. Have a huge backlog of cases to be coded end of the month, no worries, Amy got you covered. Worried about rising coding costs, Amy brings you cost savings
Less Denials
Over the last few years, denials are on the rise, thanks to wide spread adoption of AI powered audits at payers. Amy brings the balance back and ensures the lowest percentage of denials.
But is AI medical coding accurate?
Amy is unlike any other AI system. Built with the right design principles, it makes your job easier, not harder
Explainability
AI is often dubbed as black box, making it difficult to trust and rely upon. Amy is built to provide full transparency and explanation for each of her decisions
Human Verified
As an extra layer of check, Amy's coding is human verified. She proactively informs when a human review is needed & our team swiftly jumps into action.
Continuous learning
Amy continuously learns from your feedback, adapts to ever-changing compliance scenario and ensures each of the generated code is 100% compliant with the rules.
We do it all
ICD-10-CM
International Classification of Diseases
CPT
Current Procedural Terminology
HCPCS
Healthcare Common Procedure Coding System
HCC
Hierarchical condition category
Professional Coding
Facility Coding
Specialities supported for medical coding
Internal Medicine
Critical Care
Pediatrics
Emergency Medicine
Anesthesiology
Dermatology
Neurology
Radiology
Psychiatry
Pathology
Family Medicine
Orthopedics
Gastroenterology
General Surgery
Obstetrics and Gynecology
Hematology and Oncology
The AI revolution is here to stay
AI models can now understand human language and do complex reasoning.
Tasks which deemed impossible earlier are now a reality.
This means vast Implications for In-house coding teams as well as 3rd party RCM agencies.
Future-proof your
Medical coding &
Billing business
Takeaways from HFMA 2024: Future of Healthcare Revenue Cycle Management
Key Takeaways from HFMA Annual Conference 2024 about the recent trends in healthcare revenue cycle management and the pivotal role of AI and automation.
Frequently Asked Questions
What is autonomous coding?
Autonomous coding refers to the use of artificial intelligence to automatically translate clinical documentation into standardized medical codes such as CPT, ICD-10-CM, HCPCS, etc. without human intervention. This process enhances coding efficiency and accuracy, reducing the workload on human coders.
Will AI replace medical coders?
No, medical coding AI is here to assist human coders, not replace them. While AI is great at handling routine cases, one still needs human coders to help with complex scenarios as well as audit and train AI systems.
How is CombineHealth different than other medical coding softwares?
Our AI workforce not only generates appropriate codes but also explains the rationale behind each code selection. This is crucial to identify cases with insufficient documentation or opportunities for higher collections. Additionally, they proactively seeks human oversight for complex cases to ensure high accuracy.
Can your medical coding AI incorporate subjective interpretation of guidelines?
Yes, our medical coding AI is built to understand language and reason like a human. It interprets the medical coding guidelines just like human coders as well as proactively seek human oversight in case of uncertainities.
How is autonomous coding different from computer assisted coding?
While computer assisted coding is a great tool, they require a human coder to review each and every case, limiting efficiency gains. Autonomous coding on the other hand, completely automates coding for standard cases and require human intervention only for complex ones, maintaining an ideal balance between efficiency and accuracy.
to revolutionise RCM
