Hospital Compare Inpatient Discharges

This data package contains the Hospital Inpatient Treatment Discharges was initially created to collect information on discharges from hospitals. Statewide Planning and Research Cooperative System (SPARCS) currently collects patient level detail on patient characteristics, diagnoses and treatments, services, and charges for each hospital inpatient stay and outpatient ambulatory surgery, emergency department, and outpatient services. It contains basic record level detail regarding the discharge however the data does not contain protected health information (PHI) under Health Insurance Portability and Accountability Act (HIPAA). The health information is not individually identifiable all data elements considered identifiable have been redacted. The SPARCS is a comprehensive all payer data reporting system established in 1979 as a result of cooperation between the healthcare industry and government. The system was initially created to collect information on discharges from hospital. It currently collects outpatient services visit to a hospital extension clinic and diagnostic and treatment center licensed to provide ambulatory surgery services.

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1. Hospital Inpatient Treatment Discharges 2009

This dataset includes New York State level information on discharge details on patient characteristics, diagnoses, treatments, services, charges and costs for the year 2009.

2. Hospital Inpatient Treatment Discharges 2010

This dataset includes New York State level information on discharge details on patient characteristics, diagnoses, treatments, services, charges and costs for the year 2010.

3. Hospital Inpatient Treatment Discharges 2011

This dataset includes New York State level information on discharge details on patient characteristics, diagnoses, treatments, services, charges and costs for the year 2011.

4. Hospital Inpatient Treatment Discharges 2012

This dataset includes New York State level information on discharge details on patient characteristics, diagnoses, treatments, services, charges and costs for the year 2012.

5. Hospital Inpatient Treatment Discharges 2013

This dataset includes New York State level information on discharge details on patient characteristics, diagnoses, treatments, services, charges and costs for the year 2013.

6. Hospital Inpatient Treatment Discharges 2014

This dataset includes New York State level information on discharge details on patient characteristics, diagnoses, treatments, services, charges and costs for the year 2014.

7. Hospital Inpatient Treatment Discharges 2015

This dataset includes New York State level information on discharge details on patient characteristics, diagnoses, treatments, services, charges and costs for the year 2015.

8. Hospital Inpatient Treatment Discharges 2016

This dataset includes New York State level information on discharge details on patient characteristics, diagnoses, treatments, services, charges and costs for the year 2016.

9. Hospital Inpatient Treatment Discharges 2017

This dataset includes New York State level information on discharge details on patient characteristics, diagnoses, treatments, services, charges and costs for the year 2017.

We deliver high-quality data

• Each dataset goes through 3 levels of quality review
  • 2 Manual reviews are done by domain experts
  • Then, an automated set of 60+ validations enforces every datum matches metadata & defined constraints
• Data is normalized into one unified type system
  • All dates, unites, codes, currencies look the same
  • All null values are normalized to the same value
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• Data and Metadata
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  • Metadata is provided in the open Frictionless Data standard, and its every field is normalized & validated
• Data Updates
  • Data updates support replace-on-update: outdated foreign keys are deprecated, not deleted

Our data is curated and enriched by domain experts

Each dataset is manually curated by our team of doctors, pharmacists, public health & medical billing experts:

• Field names, descriptions, and normalized values are chosen by people who actually understand their meaning
• Healthcare & life science experts add categories, search keywords, descriptions and more to each dataset
• Both manual and automated data enrichment supported for clinical codes, providers, drugs, and geo-locations
• The data is always kept up to date – even when the source requires manual effort to get updates
• Support for data subscribers is provided directly by the domain experts who curated the data sets
• Every data source’s license is manually verified to allow for royalty-free commercial use and redistribution.

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John Snow Labs , an AI and NLP for healthcare company, provides state-of-the-art software, models, and data to help healthcare and life science organizations build, deploy, and operate AI projects.