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Vizient Data And Digital Analytics
This report’s analysis leverages the following proprietary data and analytics assets.
Sg2® Intelligence is a diverse team of subject matter experts and thought leaders who represent specialties ranging from clinical service lines to enterprise strategy. The team develops strategy-specific content in the form of editorial reports, including the Data on the Edge series, and perspective-based analytics, such as the Impact of Change® forecast.
The Sg2 Claims Data Warehouse is a best-in-class integration of payer-sourced longitudinal claims and provider-sourced clearinghouse data, providing maximum available all-payer activity in every market. Capturing healthcare utilization for 215+ million unique patients annually, it represents >70% of the total insured population in the United States. Data enrichments informed by Vizient data scientists, clinical experts and thought leaders are integrated within the data, preserving data integrity while contextualizing it to create powerful analytical solutions.
The Vizient Destination Care Data Set, powered by the Sg2 Claims Data Warehouse, provides visibility into patient travel patterns across the country. Sg2 segments patients by the distance they travel for different services at the disease and procedure level. Distance groupings are as follows, in miles: 0-50, 51-100, 101-150, 151-200, 201-250, 251-300, and 300+.
The Sg2 Inpatient Portfolio was created in collaboration leveraging the analytical expertise of Vizient data scientists, vetted by clinical leaders and strategically honed by the Vizient Strategy Intelligence research team. The grouper translates MS-DRG discharges to six acuity-based subtypes:
- Quaternary: MS-DRGs mapped to Sg2’s 2022 quaternary DRG list. Examples include transcatheter valve procedures; head and neck cancer procedures; kidney, liver, heart and lung transplants; and CAR T-cell therapy.
- Tertiary: MS-DRGs mapped to Sg2’s 2022 tertiary DRG list, which is composed of AMC-centered tertiary DRGs. Examples include brain/skull surgery, hepatectomy for liver cancer and traumatic injury.
- Shifting Tertiary: MS-DRGs removed from Sg2 tertiary DRG list from 2017 to 2022, as these services have shifted, or are shifting, to community acute care providers. Examples include coronary artery bypass graft, endovascular procedures, lumbar/spinal fusion procedures and nephrectomy.
- High Acuity: Discharges with a DRG weight of >2.0. Examples include leg amputation, mechanical ventilation, fracture repair, septicemia procedures and large bowel resection.
- Medium Acuity: Discharges with a DRG weight of 2.0 to 1.0. Examples include primary hip/knee replacement, c-section, psychosis and congestive heart failure medical admission.
- Low Acuity: Discharges with a DRG weight of <1.0. Examples include vaginal delivery, intestinal obstruction, diverticulitis, urinary tract infection and diabetes medical admission.
Sg2 also developed a pediatric-specific inpatient portfolio to help children’s hospitals drive intentional changes in their patient mix.
The Sg2 CARE Grouper is Sg2’s proprietary methodology that organizes data across all sites into standardized, clinically relevant categories. It amalgamates ICD-10 diagnosis codes into clinically pertinent disease categories, which are then organized into broader service lines and service line groups. It also groups ICD-10 codes and CPT/HCPCS procedure codes into inpatient and outpatient procedure categories, respectively. These categories facilitate a standardized approach to tracking patient volumes and service utilization seamlessly across inpatient and outpatient settings. The Sg2 CARE Grouper is foundational for our analytics offerings and also serves as a stand-alone product that health systems rely on to manage their organizational data efficiently.
The Vizient Clinical Data Base (CDB) is the definitive healthcare analytics platform for performance improvement. The CDB provides high-quality, accurate and transparent data on patient outcomes—such as mortality, length of stay, complication and readmission rates, and hospital-acquired conditions—that enable hospitals to benchmark against peers; identify, accelerate and sustain improvements; reduce variation; and expedite data collection to fulfill agency reporting requirements. Clinical benchmarking tools such as dashboards, simulation calculators, and templated and customizable reports enable you to quickly identify improvement opportunities and their potential impact.
Sg2’s Impact of Change® model forecasts demand for healthcare services over the next decade, examining the cumulative effects and interdependencies of key impact factors driving change in utilization. Using both disease-based and DRG-based analyses, the forecast provides a comprehensive picture of how patients will access inpatient and outpatient services along the continuum of care.