New York State Hospital Inpatient Discharges For 2017

New York State's SPARCS system provides de-identified inpatient discharge records for 2017. The dataset includes patient demographics, diagnoses, procedures, and financial details like Total Charges and Total Costs. It is published by health.data.ny.gov.

Use Cases

• Predict Length of Stay using patient Age Group, Gender, and APR Severity of Illness Code.
• Analyze disparities in Total Charges or Total Costs across patient Race and Hospital County.
• Model the relationship between Type of Admission and APR Risk of Mortality score.
• Cluster patient cohorts based on CCS Diagnosis Code and CCS Procedure Description for population health studies.

Strengths

• Contains 29 detailed columns covering clinical, demographic, and financial dimensions.
• Data is de-identified to HIPAA standards, removing protected health information.

Limitations

• Contains only a single year (2017) of data, limiting longitudinal analysis.
• Sample size and row count are unknown, making it hard to assess statistical power.

Provenance

Source

health.data.ny.gov via the Statewide Planning and Research Cooperative System (SPARCS).

Collection Method

Administrative discharge data collected from hospitals.

Time Range

2017

Freshness

Data is from 2017; metadata was last updated in 2025.

Geography

New York State, United States.