Our
Approach
p3 Quality is a centralized platform that provides AI and Revenue Cycle Management (RCM) ideas, knowledge-sharing and resources that encourage and enable viewers and users to work together and build partnerships that help to identify RCM/AI Risks, Assess Inefficiencies, develop RCM/AI mitigation and remediation strategies, Bridge Integrity GAPs.
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p3 Quality Approach focuses on Four Pillars of AI-Powered RCM Operational Leadership:
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1.) Standard Operating Procedure (SOP) Playbook,
2.) Automation Repetitive Tasks Workflows,
3.) Process Optimization and Implementation
4.) Measure, Monitor and Maintenance Standardization
Our primary goal is to Minimize Risks, Maximize Best Practice and Deliver Results Faster!
Revenue Cycle Management (RCM) leaders are dependent on Artificial Intelligence (AI) and Machine Learning (ML) accuracy and integrity to help achieve day-to-day operational efficiency and optimization goals and objectives.
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In Health Information Management (HIM) and Revenue Integrity (RI) it is critically important to establish accountability, and responsibility that is designed to ensure claims reimbursement accuracy, quality and integrity.
AI and ML Automation are both used throughout the Mid RCM Operations Medical Claims Processing Lifecycle.
The p3 Quality methodology is designed to use Predictive Analytics and other RCM AI-Powered technologies to get a head start on identifying, flagging and addressing potential risks, execute error mitigation and remediation.
Reach Out to Us. We can help!
Our
Methodology
REVENUE CYCLE MANAGEMENT (RCM) & AI
RCM Operations require us to pay attention to quality with Eyes On AI. AI Algorithms can help to improve data accuracy and the speed of how Patient Information is retrieved.
Our Eyes are on AI and its impact on RI and HIM Exceptions, Implications, and Opportunities!
MEDICAL CLAIMS, ALGORITHMS & AI
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Automated Coding Systems can assign the appropriate diagnosis and procedure codes of patient care services that help to create the medical billing statement. P3 offers AI Assistance with:
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Automated Code Assisgment
- Computer Assisted Coding (CAC) -
AI-Supported Clinical Documentation - National Language Processing (NLP)
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CDM / Charge Capture / Reconciliation - Machine Learning (ML)