In the healthcare industry, precise medical coding is essential for the proper payment and compliance. Traditional coding is fraught with difficulties, resulting in significant loss of money to hospitals and clinics. In the United States alone, healthcare companies lose around Annually $125 billion due to inaccurate and slow medical coding. Arintra has solved this problem using AI, artificial intelligence (AI) as well as natural language processing in clinical settings and NLP to improve the efficiency of coding.
The difficulties of traditional medical coding
Medical Coding is the process of translating medical diagnoses and intricate procedures into common codes. This process is often manual and requires human coders to interpret detailed patient charts. Unfortunately, this method is not only time-consuming but also prone to errors. The intricate nature of medical terminology can make human coders struggle, resulting in inconsistent coding accuracy. Personal experience and knowledge could lead to variations in coding, which could further complicate billing. These issues highlight the need for a more efficient system like Arintra.
How Arintra Functions
Arintra’s innovative platform automates the process of medical coding by converting patient charts directly into insurance claims with 96 percent accuracy and zero human intervention
This reduces significantly the risk of errors associated by manual programming. Arintra handled more than 1.63 million claims More than Twenty providers customers
Arintra’s technology Arintra is bi-directionally integrated into the most popular electronic health records (EHRs) like Epic or Cerner. This integration enables Arintra to pull patient data directly from EHRs and create direct-to-billing claims with specific codes like E/M levels CPT, ICD-10, HCC, and HCPCS codes that have appropriate modifiers.
The Advantages of Arintra’s Solution
Improved Accuracy by automating the coding process, Arintra has decreased the amount of undercoding by 11 percent and has reduced claim-related coding denials by 43%.
Efficiency Gains The platform improves workflows, allowing healthcare institutions to process claims faster and at a lower cost.
Enhanced Compliance Arintra’s system complies to regulatory standards and decreases the chance of audit mistakes or penalties.
Real-time Feedback This platform provides coders with immediate insight into their work which allows them to make educated decisions that improve the accuracy of their work.
The Founding’ Experience
Arintra was established by two individuals who have extensive backgrounds and knowledge in AI, machine learning, and data science. Both founders hold PhDs and over a decade of experience in their respective areas. 60 patents and publication
Through their entire careers. They have combined years of experience. 20 Years of Age employed at B2B companies and startups working at B2B companies and startups in Silicon Valley. This wealth of expertise is essential to develop products that meet the changing demands of healthcare providers and maintains high standards of accuracy and compliance.
Future trends in Medical Coding
As technology advances, the future of medical coding will likely see even greater automation through AI and machine learning innovations. These advances will improve the efficiency and accuracy of healthcare institutions.
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The conclusion of the article is:
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