What is aiH.Automate?
aiH.Automate employs advanced artificial intelligence to automate the complex and repetitive tasks of procedural and diagnosis coding specifically within the ambulatory care setting. By integrating seamlessly with existing Electronic Health Record (EHR) or Document Management systems, the platform processes both structured and unstructured clinical notes, transforming them into accurate and compliant CPT® and diagnosis codes. This automation addresses significant workflow inefficiencies often encountered in medical coding.
The technology is designed to significantly reduce manual intervention, leading to lower operational costs and improved physician satisfaction by alleviating administrative burdens. It routes complex coding exceptions to human reviewers for oversight, ensuring accuracy while drastically reducing coding turn-around times, often by several days. This enhances overall workflow efficiency, accelerates cash flow for healthcare organizations, and helps mitigate challenges related to medical coder scarcity and provider burnout, ultimately supporting the delivery of quality care.
Features
- Automated Procedural and Diagnosis Coding: AI-driven automation of CPT® and diagnosis code generation.
- EHR/Document Management Integration: Seamless connection with existing healthcare IT systems.
- Clinical Note Processing: Handles both structured and unstructured clinical documentation.
- Specialty-Specific AI Models: Delivers high accuracy (up to 95%) tailored to different medical specialties.
- Exception Handling Workflow: Routes complex cases to human coders for review.
- Reduced Turn-Around Time: Significantly shortens the time required for coding processes.
- Scalability: Validated for high-volume coding environments.
Use Cases
- Automating medical coding tasks in ambulatory care settings.
- Reducing coding backlogs and accelerating revenue cycles for healthcare providers.
- Improving coder productivity and reducing manual coding efforts.
- Enhancing coding accuracy and ensuring compliance.
- Scaling coding operations for large organizations like MSOs and RCM companies.
- Streamlining administrative processes for physician practices.
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