AI-Powered Medical Coding Solutions Are Transforming Healthcare

With medical coding automation driven by state-of-the-art AI, we at Artigen Global Tech Solutions are at the forefront of the healthcare industry’s future. Our AI-powered medical coding platform provides 24/7 scalability and accuracy while streamlining healthcare operations and addressing the scarcity of certified coders.

Unlock Revenue Potential with Artigen Tech's AI Medical Coding

Through our three specialised products, we provide a suite of healthcare coding solutions that are intended to increase coding accuracy, guarantee CMS compliance, and significantly reduce operating expenses. Our solutions, which are designed with real-time regulatory updates and specialty-specific intelligence, assist healthcare organisations in increasing productivity, streamlining revenue cycles, and concentrating on providing outstanding patient care.

How Technology is Transforming
Medical Coding

The adoption of Electronic Health Records (EHRs) paved the way for medical coding automation, enabling faster and more accurate processing of patient data. Modern AI-powered medical coding solutions use NLP and ML to automate code assignment, reducing manual effort and errors. With advanced healthcare coding solutions like Computer-Assisted Coding (CAC), healthcare organisations can streamline workflows and optimise revenue cycle management (RCM).

Leverage the power of the Artigen Tech Platform to revolutionize your coding practices. This AI innovation excels at transforming unprocessed patient data into meaningful insights. With its sophisticated use of OCR, AI, ML, and NLP, it navigates coding intricacies with precision. Artigen Tech, an extensive multi-specialty AI platform, offers the flexibility to meet ever-changing coding requirements, thereby securing accurate RAF scores, appropriate HCC codes, and maximized billing for tangible coding advancements.

Why Choose Artigen Tech for Medical Coding Automation?

ArtigenTech provides cutting-edge medical coding software driven by AI that are intended to maximise healthcare operations. Our suite of tools, which includes radiology coding software, anaesthesia coding automation, and urgent care coding automation, uses state-of-the-art machine learning in medical coding to guarantee precision and effectiveness.

We improve the financial performance of healthcare organisations, streamline workflows, and lower operating costs by combining our revenue cycle management automation with healthcare coding solutions. You can rely on ArtigenTech to deliver creative, scalable solutions that enhance compliance and results.

Benefits of Healthcare AI Solutions

Faster, smarter medical coding

By automating crucial tasks like medical coding automation, AI-driven solutions are transforming healthcare and enabling quicker, more precise procedures.

Specialty-specific precision

Anaesthesia coding automation, radiology coding software, and HCC coding automation are examples of tools that improve coding accuracy, lower manual error rates, and speed up the revenue cycle.

Smarter Decision with Machine Learning

Machine learning in medical coding is used by AI-powered medical coding solutions, such as HCC coding tools, to analyse clinical data and increase coding accuracy.

Optimized Revenue cycle management

Healthcare organisations can automate revenue cycle management, increase operational effectiveness, and guarantee compliance with sophisticated healthcare AI solutions. Furthermore, AI in healthcare billing improves financial results, lowers administrative overhead, and speeds up claims processing.

Better Patient Outcomes, Lower costs

Healthcare providers can enhance patient care, boost efficiency, and cut expenses by implementing AI solutions, which will benefit patients and practitioners in the long run.

 

 

Artigen- Suit of AI Healthcare Products

Sedate AI

Anesthesia coding
Anaesthesia coding is complex and requires precise documentation of services, time, and patient conditions. Sedate AI simplifies the process by automating anesthesia coding with advanced natural language processing and machine learning algorithms.

ConRAD AI

Radiology Coding
Radiology coding involves interpreting complex imaging reports, which can lead to errors and delays. ConRAD AI leverages AI to extract critical data from radiology reports and map it to the correct ICD-10 and CPT codes.

Cogent AI

HCC Coding
Hierarchical Condition Category (HCC) coding is vital for risk adjustment and reimbursement in value-based care models. Cogent AI automates HCC coding by analyzing patient records and ensuring proper capture of chronic conditions.

Our Process

0ur-Process Flow

Our Solutions

Real-Time Updates

Automatically integrate the latest ICD-10 changes into the coding process.

Error Reduction

Ensure compliance and accuracy with no manual intervention.

Seamless Adaptation

Eliminate the need for frequent coder training, saving time and resources.

Enhance Accuracy

Leverage AI to ensure precise coding across various specialties.

Reduce Training Costs

Rely on automation instead of expensive coder training.

Stay Compliant

Automatically adapt to the latest CMS updates for seamless compliance.

Our commitment to Quality and Compliance

Hippa

BLOGS

Our blog delivers expert advice, case studies, and thought leadership on how artificial intelligence is transforming software development. Stay informed on machine learning advancements, coding automation, best practices, and real-world applications that boost productivity and code quality. Discover how AI is shaping the future of programming—one line of code at a time.

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Testmonials

“I wanted to take a moment to thank the entire team for the outstanding support you've provide to us. Your consistent communication, dedication, and effort have not gone unnoticed. I greatly appreciate the clarity and thoroughness of your recaps, your commitment to understanding our workflows, and the general knowledge and insight your team brings to the table. It’s clear that a lot of time and care goes into your work, and it truly makes a difference on our end. Please extend our gratitude to everyone involved. I value your team greatly and look forward to continued collaboration.”
Healthcare Texas Hospital
ML / AI Automation