Data Integrity and Analytics

Accurate data is the foundation of effective decision-making, regulatory compliance, operational efficiency, and financial performance.

At Gust RCM, our Data Integrity & Analytics services help healthcare organizations identify data quality issues, uncover performance trends, and implement solutions that improve both operational and financial outcomes.

Our team combines healthcare expertise with advanced analytical capabilities to evaluate critical data elements across clinical, financial, and operational systems. We transform complex datasets into actionable insights that support informed decision-making and long-term organizational success. Our Data Integrity Services Include:

Master Patient Index (MPI) Cleanup & Integrity Reviews

A healthy Master Patient Index is essential for patient safety, accurate reporting, and operational efficiency. We identify and resolve:

  • Duplicate medical records

  • Overlay and overlap issues

  • Patient demographic inconsistencies

  • Registration errors

  • Data standardization opportunities

  • Ongoing MPI maintenance strategies

Charge Description Master (CDM) Reviews & Updates

An outdated or inaccurate CDM can result in missed revenue, billing errors, and compliance concerns. Our team evaluates and updates:

  • Charge codes

  • Revenue codes

  • CPT/HCPCS mappings

  • Pricing structures

  • Regulatory compliance requirements

  • Department-specific charging practices

Fee Schedule Updates & Maintenance

We help organizations maintain accurate fee schedules aligned with current payer requirements and reimbursement methodologies by providing:

  • Annual fee schedule reviews

  • Medicare-based fee schedule updates

  • Commercial payer analysis

  • Pricing strategy assessments

  • Charge alignment reviews

  • Revenue optimization recommendations

CMI Shift Analysis

Case Mix Index (CMI) fluctuations can significantly impact reimbursement and organizational performance. Our analysts evaluate:

  • CMI trends and shifts

  • Service line performance

  • Documentation impact on CMI

  • Coding impact on CMI

  • Physician documentation patterns

  • Revenue implications of case mix changes

  • Opportunities for documentation and coding improvement

Revenue Cycle Analytics

We provide detailed analysis of key performance indicators, including:

  • Accounts Receivable trends

  • Denial rates and root cause analysis

  • Reimbursement performance

  • Clean claim rates

  • Productivity metrics

  • Cash collection trends

  • Payer performance analysis

Quality & Compliance Analytics

Our reviews help organizations better understand the relationship between documentation, coding, quality metrics, and financial outcomes through analysis of:

  • Severity of Illness (SOI)

  • Risk of Mortality (ROM)

  • Present on Admission (POA) indicators

  • Clinical documentation trends

  • Social Determinants of Health (SDOH) reporting

  • Quality measure impacts

  • Regulatory reporting requirements

Detailed Reporting & Actionable Recommendations

Every engagement includes executive-level reporting and practical recommendations designed to improve performance. Our deliverables provide:

  • Trend analysis and benchmarking

  • Root cause identification

  • Financial impact assessments

  • Data visualization and dashboards

  • Operational improvement opportunities

  • Compliance risk identification

  • Strategic recommendations

Why Choose Gust RCM?

  • Deep expertise in healthcare data and revenue cycle operations

  • Proven experience with MPI, CDM, and fee schedule management

  • Advanced analytics and performance monitoring capabilities

  • Actionable insights backed by healthcare industry expertise

  • Focus on data accuracy, compliance, and financial performance

  • Customized solutions tailored to organizational needs

At Gust RCM, we help healthcare organizations move beyond raw data to gain meaningful insights that improve operational efficiency, strengthen data integrity, optimize reimbursement, and support informed strategic decision-making.