Hospital Quality Improvement Platform

Through a partnership with SpeedTrack, NewVolt developed a data management and analytics platform for the Hospital Quality Institute (a division of the California Hospital Association).

The platform takes patient encounter data from HQI members and provides dashboards and statistical insights based on complicated quality measures and peer group comparisons.

Quality Measures and Indicators

The platform draws from numerous data sources and healthcare authorities to provide a comprehensive view of hospital quality. Starting with ICD-10 diagnosis and procedure codes, demographic information, and other information about the patient encounter, NewVolt derives many measures, such as:

• Mortality rates
• Lengths of stay
• MS-DRG groupings
• Sepsis rates
• CMS case mix index
• Adverse Drug Events
• Readmission rates
• Acuity levels
• Social determinants of health
• Healthcare-associated infections
• AHRQ quality indicators
• California Maternal Quality Care Collaborative (CMQCC) Measures
• CMS chronic conditions data warehouse (CCW) rates
• HCUP/AHRQ Clinical Classifications Software Refined (CCSR) groupings
• ...and more

Comparative Analytics

Data needs context. NewVolt focused heavily on developing comparative analytics that allow individual hospitals and systems to compare their patient encounter data and statistics with aggregate comparison groups. State-wide comparisons and regional comparisons give hospitals benchmarks to compare and contrast the performance of their facilities.

NewVolt implemented AHRQ quality indicators like Patient Safety (PSI), Inpatient Quality (IQI), Pediatric Quality (PDI), and the HAC Reduction program to give HQI member hospitals further standardized analytics into their patient encounter data.

• Hospital Acquired Conditions (HAC) Reduction
• Comparison to state-wide, system-wide, and regional benchmarks
• Aggregate Analysis
• AHRQ Indicators

Healthcare Disparities

There is growing interest in analyzing healthcare data across various demographic and socioeconomic groups. NewVolt developed a generic framework for HQI hospitals to filter and analyze their patient encounter data by cross-sections like Race, Age, Ethnicity, Sex, CMS Age Group, Patient Disposition, and more.

Analysis like the Social Determinants of Health (SDOH) also gives hospitals insights into their patient encounters related to factors like problems with homelessness, problems related to employment, and problems with literacy.

There is extensive work still to be done in this area and NewVolt continues to work with experts in this field like HQI and SpeedTrack to develop novel ways of investigating these types of healthcare disparities.

• Social Determinants of Health (SDOH)
• Demographic Analysis
• Filtering and Analysis by Race, Ethnicity, Age, Sex, Language, and more