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Our AI Technology

Quality

CliniPoint™ stands at the forefront of healthcare compliance technology by leveraging Continuous Improvement and Continuous Integration/Continuous Deployment (CI/CD) plans in every sprint to enhance the Accuracy, Efficiency, and Quality of our Natural Language Processing (NLP) and Natural Language Understanding (NLU) algorithms and models.
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This rigorous approach ensures that our technology is consistently refined and tested, resulting in the highest quality encounter coding and compliance reports. Through these continuous advancements, CliniPoint™ delivers unmatched precision in analyzing medical documentation, ultimately providing our clients with unparalleled confidence in their claims accuracy and compliance.

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Quality

ADVANTAGES

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More accurate, cost effective and faster than LIVE scribes

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Structured and formatted for SOAP consistency

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Customized template support

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Interprets medical terminology without iterating encounter

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Physician validated in a click of a button

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Directly imported to EHR System

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EHR Agnostic

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Significant less time than dictation and correction

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Customized algorithms apply to multiple specialties

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Alleviate Clinician Burnout

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Increase Coding Accuracy

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MCC provides Health Information Management and computer assisted clinical documentation improvement services that pair with innovative technology with leverage Artificial Intelligence (AI), Machine Learning (ML), and Robotic Process Automation (RPA) to code claims and to analyze and interpret clinical documentation.  Through our proprietary technology and service model, we provide multiple solutions from ambient speech interpretation to complete revenue cycle management. Our goal at MCC is provide a computer free data entry environment to increase patient engagement, improve coding accuracy, reduce provider burnout, and maximize claim revenue and turnaround time.

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Phone

(512) 473-6473

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Address

6500 River Place Blvd Bldg 4
Ste 350, Austin, TX 78730

1. Medical Documentation Burden Among US Office-Based Physicians in 2019: A National Study | Electronic Health Records | JAMA Internal Medicine | JAMA Network

© 2025 Med Claims Compliance Corporation. All rights reserved.

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