New York State Hospital De-Identified Data
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**Overview**
This data package shows the information on hospital discharges at patient-level data with basic record details without showing protected health information (PHI) and was made not identifiable. The data is classified by Health Service Area and county.
**Description**
This data package shows the Inpatient De-identified data from 2009 to 2014 of the state of New York Office of Quality and Patient Safety, collected from hospitals and treatment centers of New York. Patients age group, gender, race and ethnicity are listed and contains information on the admission, diagnosis, procedure and discharge, as well as payment and costs. The dataset also indicates abortion records. This data is from the Statewide Planning and Research Cooperative System (SPARCS), a reporting system that protects confidentiality and privacy of patient’s data under Section 28.16 of the Public Health Law (PHL). Inpatient data must be submitted to SPARCS by all Article 28 facilities.
**Benefits**
- Useful for providers of new york for inpatient discharges from the year 2009 to 2014
**License Information**
The use of John Snow Labs datasets is free for personal and research purposes. For commercial use please subscribe to the [Data Library](https://www.johnsnowlabs.com/marketplace/) on John Snow Labs website. The subscription will allow you to use all John Snow Labs datasets and data packages for commercial purposes.
**Included Datasets**
- [State of New York Inpatient Discharges 2009](https://www.johnsnowlabs.com/marketplace/state-of-new-york-inpatient-discharges-2009)
- This contains the Inpatient De-identified data of 2009 of the state of New York Office of Quality and Patient Safety, collected from hospitals and treatment centers of New York. This dataset displays information on hospital discharges at patient level data with basic record details without showing protected health information (PHI) and was made not identifiable.
- [State of New York Inpatient Discharges 2010](https://www.johnsnowlabs.com/marketplace/state-of-new-york-inpatient-discharges-2010)
- This contains the Inpatient De-identified data of 2010 of the state of New York Office of Quality and Patient Safety, collected from hospitals and treatment centers of New York. This dataset displays information on hospital discharges at patient level data with basic record details without showing protected health information (PHI) and was made not identifiable.
- [State of New York Inpatient Discharges 2011](https://www.johnsnowlabs.com/marketplace/state-of-new-york-inpatient-discharges-2011)
- This contains the Inpatient De-identified data of 2011 of the state of New York Office of Quality and Patient Safety, collected from hospitals and treatment centers of New York. This dataset displays information on hospital discharges at patient level data with basic record details without showing protected health information (PHI) and was made not identifiable.
- [State of New York Inpatient Discharges 2012](https://www.johnsnowlabs.com/marketplace/state-of-new-york-inpatient-discharges-2012)
- This contains the Inpatient De-identified data of 2012 of the state of New York Office of Quality and Patient Safety, collected from hospitals and treatment centers of New York. This dataset displays information on hospital discharges at patient level data with basic record details without showing protected health information (PHI) and was made not identifiable.
- [State of New York Inpatient Discharges 2013](https://www.johnsnowlabs.com/marketplace/state-of-new-york-inpatient-discharges-2013)
- This contains the Inpatient De-identified data of 2013 of the state of New York Office of Quality and Patient Safety, collected from hospitals and treatment centers of New York. This dataset displays information on hospital discharges at patient level data with basic record details without showing protected health information (PHI) and was made not identifiable.
- [State of New York Inpatient Discharges 2014](https://www.johnsnowlabs.com/marketplace/state-of-new-york-inpatient-discharges-2014)
- This contains the Inpatient De-identified data of 2014 of the state of New York Office of Quality and Patient Safety, collected from hospitals and treatment centers of New York. This dataset displays information on hospital discharges at patient level data with basic record details without showing protected health information (PHI) and was made not identifiable.
- [State of New York Inpatient Discharges 2015](https://www.johnsnowlabs.com/marketplace/state-of-new-york-inpatient-discharges-2015)
- This contains the Inpatient De-identified data of 2015 of the state of New York Office of Quality and Patient Safety, collected from hospitals and treatment centers of New York. This dataset displays information on hospital discharges at patient level data with basic record details without showing protected health information (PHI) and was made not identifiable.
- [State of New York Inpatient Discharges 2016](https://www.johnsnowlabs.com/marketplace/state-of-new-york-inpatient-discharges-2016)
- This contains the Inpatient De-identified data of 2016 of the state of New York Office of Quality and Patient Safety, collected from hospitals and treatment centers of New York. This dataset displays information on hospital discharges at patient level data with basic record details without showing protected health information (PHI) and was made not identifiable.
**Data Engineering Overview**
**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
- All dataset and field names are SQL and Hive compliant
- Data and Metadata
- Data is available in both CSV and Apache Parquet format, optimized for high read performance on distributed Hadoop, Spark & MPP clusters
- 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.
**Need Help?**
If you have questions about our products, contact us at [info@johnsnowlabs.com](mailto:info@johnsnowlabs.com).
提供机构:
John Snow Labs
搜集汇总
数据集介绍

背景与挑战
背景概述
该数据集包含纽约州2009年至2014年的住院患者去标识化数据,涵盖患者人口统计、入院、诊断、出院及支付信息,来源于州质量与患者安全办公室通过SPARCS系统收集。数据按健康服务区和县分类,适用于纽约州提供商的住院出院分析,个人和研究用途免费,商业用途需订阅。
以上内容由遇见数据集搜集并总结生成



