SPARCS: New York Hospital Inpatient Discharges for 2012
Updated 1y ago
Available on 1 platform
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Description
The Statewide Planning and Research Cooperative System (SPARCS) Inpatient De-Identified dataset contains discharge-level detail on patient characteristics, diagnoses, treatments, services, and charges. This 2012 data is published by health.data.ny.gov and has been de-identified, with direct identifiers like specific dates redacted to comply with HIPAA. The dataset includes 30 columns covering demographics, clinical classifications, payment types, and facility information.
Use Cases
Analyzing length-of-stay patterns using Age Group, APR Severity of Illness Description, and Type of Admission (from 30 available columns).
Modeling hospital charges or payment typologies using Payment Typology 1, APR DRG Code, and Health Service Area (from 30 available columns).
Studying clinical outcomes and risk using APR Risk of Mortality, Patient Disposition, and CCS Diagnosis Code (from 30 available columns).
Profiling hospital service use by geography using Facility County, Zip Code - 3 digits, and Facility Name (from 30 available columns).
Strengths
Contains 30 detailed columns per record, including clinical classifications (APR DRG, CCS), demographics, and financial data.
Data is explicitly de-identified to remove protected health information (PHI) under HIPAA.
Published by an authoritative state health organization (health.data.ny.gov) and was last updated in April 2025.
Limitations
Row count is unknown, which may limit suitability assessment for large-scale modeling.
The dataset covers a single year (2012), which may limit longitudinal analysis.
Description metadata is limited; actual data quality requires manual inspection after download.
Provenance
Source
health.data.ny.gov
Collection Method
Statewide administrative discharge data collection system (SPARCS).
Time Range
2012
Freshness
Last updated 2025-04-01 18:24:35; freshness should be verified.
Geography
New York State, United States (implied by Hospital County and Health Service Area columns).
Date fields have had day and month portions removed for de-identification. The license is unknown and should be verified before use.