Boosting Orthopedic Financial Performance with AI-Powered Autonomous Coding
- Aubrey Ibele
- 1 day ago
- 1 min read
Orthopedic practices face increasing challenges in financial management, from complex billing codes to reimbursement delays, denied claims and coder shortages. aiHealth President Kyle Swarts explores how AI-powered autonomous coding can effectively address these challenges. In a rapidly evolving industry, not adopting AI and technology can leave practices struggling to keep up with the competition.
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Discover the power of AI-enabled autonomous coding:
Automate whitelisted codes with up to 95% accuracy, routing only exceptions to coders
Increase coder productivity by 60% and free up human resources for more complex cases
Domain-specific AI-ML models, built for the complexity of the individual specialties, deliver up to 95% coding accuracy and continuously improve over time
Transparent AI-ML automates medical coding for the most common office-based and surgical codes, and provides a fully compliant audit trail
Interested in learning more about how aiH.Automate™ can accelerate revenue for your organization?
Discover how Twin Cities Orthopedics leveraged aiH.Automate™— a leading outpatient AI-powered medical coding platform—to manage rapid growth, reduce charge lag, boost productivity, and save $500,000 in coding costs, all while managing increasing coding volumes.
