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Unlock Maximum Revenue Opportunities with Our Quality-Driven Solutions

At P3 Quality, we pride ourselves on utilizing a comprehensive Best Practice focused approach. This methodology is designed to ensure that our client's strategic objectives and results are accomplished efficiently and effectively, while maintaining the highest standards of integrity and quality.
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Artificial Intelligence (AI) has proved to be a valuable tool in Revenue Cycle Management (RCM) day-to-day operations. However, AI in RCM Algorithm Integrity must be measured and monitored to determine accuracy, consistency and quality.  P3 evaluates these processes!

Let P3 Help Enhance Your AI in RCM Quality Benchmarks

  1. Accuracy and Productivity 

  2. Coding and Billing Processes

  3. Automation and Manual Errors

  4. Administrative Burden 

  5. Claim Processing and Approval Rates

  6. Reimbursement Cycle and Turnaround Times​

About the Leadership Team

Ms. Collins is an Executive AI Data Curator of P3 Quality with almost two decades of expertise in Senior Mid-Revenue Cycle Management Operations; that includes Health Information Management (HIM), Revenue Integrity (RI), and Clinical Documentation Integrity. She specializes in Data Quality, establishing and supporting Responsible Artificial Intelligence (RAI) frameworks that focus on Orchestrating Next Generation Data Excellence for AI Medical Coding and RCM Data Accuracy, Consistency and Efficiency objectives. Prioritizing AI In Revenue Cycle Management (RCM) Best Practices!

 

P3 aligns their Consulting Service Delivery with Centers for Medicare & Medicaid Services (CMS), Medicare Patient Privacy, American Medical Association, (AMA), American Health Association (AHA) and the American Health Information Management Association (AHIMA) regulatory guidelines, standards and recommendations.  

 

​Ms. Collins has a proven track record of leading teams that drive and deliver high-impact process and optimization improvement outcomes. She uses proprietary knowledge, skills, and methodologies to research, inspect, detect and recommend corrections on hospital, healthcare organization, provider, covered entity, and EHR Vendor AI Medical Coding initiatives.  

 

Ms. Collins holds a Bachelor of Science in Health Information Management (BSHIM) from Western Governors University and an Associate of Applied Science in Health Information Technology (AAS) from Western Nebraska Community College. She is a Registered Health Information Technician (RHIT), Certified Revenue Cycle Representative (CRCR), Certified Coding Associate (CCA), Certified Artificial Intelligence Medical Coder (CAIMC), Certified Artificial Intelligence Professional (CAIP), Certified Scrum Master (CSM), ISO 9001 Certified Internal Auditor and Approved ICD-10-CM/PCS Trainer.

 

The designations underscore Ms. Collins commitment and dedication to AI Medical Coding and RCM Best Practices. ​​​

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