Our
Approach
P3 Quality is a HealthTech company that specializes in AI Medical Coding (i.e., ICD-10, CPT & HCPCS) and Revenue Cycle Management (RCM) data quality solutions. We are proud to be certified by WBENC.
P3 develops digital AI solutions that leverage technology to improve operational efficiency within the healthcare industry. Our team of Responsible AI (RAI) Consultants; Certified Medical Coders, Certified AI Professionals, and Executive AI Data Curators analyze, review, mitigate, and validate data accuracy, consistency, and reliability.
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​We are also ISO 9001 Certified Internal Auditors that use a Proprietary Methodology to advance AI Medical Coding and End-to-End RCM claims processing research, data quality, and compliance.
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The P3 Approach
Compliant, Accountable, Responsible, and Ethical AI.
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Quality Assurance:
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Data: Quality-Driven Strategies
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Process: Ensures systematic monitoring, evaluating, and refining AI-powered solutions to deliver accurate, efficient, and compliant results throughout the RCM process. Aligning AI performance with business goals.
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Goal: Minimize errors and risks by building and integrating Quality into AI in RCM Processes.​​
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Our
Methodology
P3 focuses on achieving Compliant, Accountable, Responsible, and Ethical AI in RCM Best Practice.
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Quality Control:
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AI Governance-Oriented Strategies
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Process: Ensures the AI in RCM Products. Services and Deliverables meet specified requirements.
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Goal: Reduce errors and improve quality/compliance.
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AI Quality Checks
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Inspect, Detect & Assess Inconsistencies
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Determine RCM Performance, AI Impact vs. Operational Implications
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Additional Service Offerings
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Assess Outsourced Vendor Performance
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Evaluate Service Level Agreements (SLA)
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SLA Metrics Review
AI REVENUE CYCLE MANAGEMENT (RCM)
How is AI Used in the RCM?
AI in revenue cycle management (RCM) leverages advanced technologies like Machine Learning (ML), Large Language Models (LLMs), and AI Medical Coding Prompts to enhance accuracy and efficiency.
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TOP CONCERNS: ​
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​​AI Medical Coding System Challenges:
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Complex Medical Data Translation Errors
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AI-Generated Interpretation Inaccuracies
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Medical Coding Inconsistencies
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Insufficient AI Audit Protocols
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Limited Regulatory and Ethical Oversight
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Overreliance on AI Automation
​​AN AI IN RCM SOLUTION
Begin with AI Medical Coding Audits
Most RCM Leaders would agree that Coding is the Foundation of the Healthcare Revenue Cycle; because it has a direct impact on the billing and reimbursement process:
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A Win-Win Formula for Success:
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Real-time Error Detection/Prevention
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System Flag for AI Coding Errors
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Identify the Root Cause of Inaccuracies
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Assess, Mitigate & Remediate Risks
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Implement Consistent Performance Monitoring/Audit/Intervention Protocols
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Continuous Process Improvement Plan​​
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Quantify AI vs. Human Error Rates
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Accuracy (% Error-free transactions; coding, billing, claims processing/payments)
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​Efficiency (Speed to which tasks are performed)
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Compliance (Adherence to quality goals/ regulatory standards)
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Risk Factors (inspected/detected/resolved)
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User Satisfaction (Ease of use, AI system/ tools clarity, understanding, overall performance)
