Dexur Real World Evidence (RWE) Risk Factors for Hospital Quality



Readmissions & Mortality are a critical factor in quality programs

Readmission and Mortality are hospital quality measures that reflect dimensions of quality of inpatient care. Dexur calculates Readmission and Mortality rates for all CMS measures and uses its Real World Evidence (RWE) based research to identify Hospital Specific population Micro Cohorts that pose a higher risk for readmission and mortality. Reduction in Readmissions and Mortality rates help Hospitals improve their outcomes for various cost and quality programs including:

  1. CMS Star Ratings are calculated by considering the weighted group score of five measure groups. Readmissions & Mortality measure groups contribute 22% each to the total summary score of the Hospital.
  2. Value-Based Purchasing (VBP) program, which decides the incentive/penalty of each Hospital, consists of 4 measure groups with equal weightage. Medicare Spending Per Beneficiary Costs (sole driver of Efficiency and Cost Reduction domain) are driven by Readmissions, and Safety of Care domain is driven by Mortality, which together contributes 50% of the total VBP score.
  3. Hospital Readmissions Reduction Program (HRRP) aimed at improving the quality of inpatient care by reducing Hospital revisits are propelled solely by Readmissions.
  4. BPCI-A, ACO, and Value-Based Care models are affected by the Hospital’s performance in Readmissions and Mortality measures.
Readmissions & Mortality are a critical factor in quality programs

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Dexur Differentiators in Helping Hospital Quality Outcomes

Dexur is a CMS-approved buyer of Medicare claims data and has complete cost and quality data for each stage of an episode. Dexur's team of professionals focuses on quality outcomes and assists hospitals in overcoming Data, Expertise, Data size, and Best Practices research obstacles.

Dexur Differentiators in Helping Hospital Quality Outcomes

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Dexur has Post Index Hospital Stay Data

Dexur has Medicare claims data that tracks the patient longitudinally across the patient journey and post-discharge activities. This data gets a more complete view on Readmissions to any Hospital and out of Index Stay Mortality Statistics.

Dexur has Post Index Hospital Stay Data

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Dexur has the algorithms expertise

Dexur has the most recent quarterly data, which it uses to replicate CMS algorithms, monitor quality measures, and generate advanced insights like the micro-population cohort details that have the most impact on CMS measures.

Dexur has the algorithms expertise

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Dexur’s data is 100x the volume of a typical hospital

Dexur’s 17M yearly inpatient encounter volume is 100x more than a large IDN (~170k Hospitalizations per year). Dexur is also an approved purchaser of Medicare claims data and has complete readmission and mortality data to show the difference between patients' Index stay and readmission, and identify if they have died outside the Hospital.

Dexur’s data is 100x the volume of a typical hospital

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Boil The Ocean Using RWE Approach

The traditional approach to risk factor assessment is based on Hypotheses formulated on smaller data sets and studies which fail to capture the entire range of risk factors. Dexur brings in a breakthrough approach where it boils the ocean on one of the largest claims databases to come up with Real World Evidence (RWE) based Hospital specific risk factors and their Hospital, National and State benchmark comparisons.

Hypothesis Based Research Vs Real World Evidence(RWE) Approach

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Dexur’s best practice research helps in implementation

Dexur has a dedicated team that focuses on drugs, devices, and care management to help Healthcare providers implement and adopt the best practices that can reduce risk and improve the quality and effectiveness of care.

Dexur’s best practice research helps in implementation

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Dexur & Harvard have published validated research on Readmissions & Mortality

Dexur & Harvard have published validated research on Readmissions & Mortality

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Dexur Examples of RWE Risk Factors with Outcomes

Dexur Examples of RWE Risk Factors with Best Practices

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Dexur Real World Evidence (RWE) Risk Factor Selected Criteria

Dexur Real World Evidence (RWE) Risk Factors allow users to select patient-specific hospitalization characteristics such as Measure Group, Race, Age, Gender, Dual eligibility status, County, and Comorbidities for any Healthcare facility. Based on selected criteria, Dexur shows specific risk factors that affect the Hospital quality outcomes such as readmissions, mortality, LOS, costs, and other quality outcomes and suggests the best practices to manage these risk factors.

Dexur’s best practice research helps in implementation

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Dexur Real World Evidence (RWE) Risk Factor Scores

Dexur shows Hospital and National values of readmission and mortality rates, LOS, costs, etc., for the chosen patient hospitalization criteria and associated risk factors under a specific measure group. This helps identify micro-cohorts having higher risk factors that could affect Hospital quality outcomes under various CMS programs. Readmission and Mortality rates are further segmented into 3 days, 7 days, and 30 days discharge periods which provide a better understanding of the outcomes.
Dexur’s best practice research helps in implementation

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Dexur Best Practices Research for Risk Factors

Micro cohorts with higher risk factors can affect the quality outcomes of Hospitals under various CMS programs like VBP, HRRP, BPCI-A, and CMS Star Rating. Dexur suggests Best Practices on drugs, devices, and care management based on Real World Evidence (RWE) that can help Hospitals manage these risk factors. These Best Practices are backed by reliable research references and sources.
Dexur’s best practice research helps in implementation