AHA's Lab Interpretations Increase Reimbursement Revenues by 3%-7%
AHA identifies a broader range of issues (e.g. secondary and tertiary considerations) in lab results and their corresponding ICD-10 diagnosis codes with an evidence-backed approach to support comprehensive treatment and coding.
With 100% Clinical Documentation Integrity, coding teams can feel more confident when submitting claims
Support better health outcomes while capturing more revenue.
- AHA leverages root cause analysis to code more appropriately.
- Blood tests are among the most effective objective data to leverage for effective coding and billing.
- Keeping current with payor guidelines is challenging. AHA supports RCM Teams via 100% clinical documentation integrity.
- With health care reform focused on efficient diagnosis and early intervention, the timely and accurate interpretation of blood test results is essential for quality patient care, managing overall costs, and driving optimal financial results.
Increase revenues
More comprehensive interpretations yield higher billing and reimbursement levels
Drive consistency via standardized interpretations
Ensure precise blood test interpretations regardless of who reads or triages them
Expand health system capacity
Prevent physician and staff burnout / turnover by reducing time spent on a top 3 staff burnout driver
Decrease avoidable costs
Minimize denials and adjudication
Optimize treatment plans
Inform health decisions, enhance triage to appropriate care, and help medical teams drive better health outcomes
Reduce medical liability
AHA provides root cause analyses to help transform patient health and revise treatment plans
AHA's AI interpretations result in clinical documentation integrity for coding teams. Here's how it works:
Analysis includes 3,000+ rules (patient-demographic based calculations, ratios, etc.)
– Exclusively hyper-focused on diagnostic blood test interpretations
Verified with longitudinal patient health data
– Clinician-backed AIDE algorithm refined by decades of real-world outcomes data serving as a clinical co-pilot
Non-AI/ML, non-probabilistic AIDE rules engine
– Any specific test results with medical history yields the same interpretation every time. No black box.
AIDE is strictly based on peer-reviewed global scientific research
– Every interpretation can be traced to primary sources and designed for use by clinicians in ambulatory and inpatient settings.
Seamless integration into Electronic Medical Record
- No new logins are required
- Reduce administrative work for coding teams and clinician follow-ups to clarify SOAP notes for billing
Would you like to learn more?
We look forward to hearing from you and addressing any questions you may have.