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TwitterThe Statewide Planning and Research Cooperative System (SPARCS) Inpatient De-identified dataset contains discharge level detail on patient characteristics, diagnoses, treatments, services, and charges. This data 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. For example, the direct identifiers regarding a date have the day and month portion of the date removed. A downloadable file with this data is available for ease of download at: https://health.data.ny.gov/Health/Hospital-Inpatient-Discharges-SPARCS-De-Identified/3m9u-ws8e. For more information check out: http://www.health.ny.gov/statistics/sparcs/ or go to the “About” tab.
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Twitterhttps://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
This is the public dataset made available at https://health.data.ny.gov/Health/Hospital-Inpatient-Discharges-SPARCS-De-Identified/82xm-y6g8 by the Dept of Health of New York state. The following description can be found at that page:
The Statewide Planning and Research Cooperative System (SPARCS) Inpatient De-identified File contains discharge level detail on patient characteristics, diagnoses, treatments, services, and charges. This data file contains basic record level detail for the discharge. The de-identified data file does not contain data that is protected health information (PHI) under HIPAA. The health information is not individually identifiable; all data elements considered identifiable have been redacted. For example, the direct identifiers regarding a date have the day and month portion of the date removed.
... for example, be able to predict length of stay in the hospital using the parameters likely to be available when teh patient is admitted.
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TwitterThe Statewide Planning and Research Cooperative System (SPARCS) Inpatient De-Identified dataset contains discharge level detail on patient characteristics, diagnoses, treatments, services, and charges. This data 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. For example, the direct identifiers regarding a date have the day and month portion of the date removed.
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This chart displays the total number of discharges per hospital by discharge year for the hospitals with the largest number of discharges. To view a hospital that is not included in the initial visualization, explore the different filter conditions. To expand the view from the initial hospitals shown, you may uncheck the preselected filter and choose your own parameters. The chart is based on data collected on patients and hospital discharges in the Statewide Planning and Research Cooperative System (SPARCS). Not all hospitals are shown in the initial visualization display. To expand the display, explore the different filter options. The SPARCS data has been divided into two distinct datasets, Hospital Discharges by Patient County of Residence and Hospital Discharges by Facility to preserve the confidentiality of identifiable individual information. This dataset includes the facility names. For more information check out http://www.health.ny.gov/statistics/sparcs/. The "About" tab contains additional details concerning this dataset..
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TwitterCC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
This dataset is a summary of hospital inpatient discharges from every hospital including Article 28 facilities; Ambulatory Surgery and Emergency Department visits, from the Statewide Planning and Research Cooperative System (SPARCS). The data is rolled up by patient county of residence. This dataset was modified in September 2013 to be in sync with the release of the Hospital Inpatient Discharges (SPARCS De-Identified) datasets. Please refer to the data dictionary for information on the current data available. The SPARCS data has been divided into two distinct datasets: Hospital Discharges by Patient County of Residence and Hospital Discharges by Facility. This is to preserve the confidentiality of identifiable individual information.This dataset does not include facility names.
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TwitterThis chart displays the total number of inpatient discharges per hospital by type of insurance for the hospitals with the largest number of discharges.
The chart is based on data collected on patients and hospital discharges in the Statewide Planning and Research Cooperative System (SPARCS).
Not all hospitals are shown in the initial visualization display. To expand the display, explore the different filter options.
The SPARCS data has been divided into two distinct datasets, Hospital Discharges by Patient County of Residence and Hospital Discharges by Facility to preserve the confidentiality of identifiable individual information.
This dataset includes the facility names.
For more information check out http://www.health.ny.gov/statistics/sparcs/. The "About" tab contains additional details concerning this dataset.
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TwitterThis dataset tracks the updates made on the dataset "Hospital Inpatient Discharges (SPARCS De-Identified): 2023" as a repository for previous versions of the data and metadata.
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TwitterThe Statewide Planning and Research Cooperative System (SPARCS) Inpatient De-identified File contains discharge level detail on patient characteristics, diagnoses, treatments, services, and charges. This data file contains basic record level detail for the discharge. The de-identified data file does not contain data that is protected health information (PHI) under HIPAA. The health information is not individually identifiable; all data elements considered identifiable have been redacted. For example, the direct identifiers regarding a date have the day and month portion of the date removed. Note: This dataset may be downloaded from the attachments section of this page in a smaller, compressed format.
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TwitterThis dataset tracks the updates made on the dataset "Hospital Inpatient Discharges (SPARCS De-Identified): 2021" as a repository for previous versions of the data and metadata.
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TwitterThe Statewide Planning and Research Cooperative System (SPARCS) Inpatient De-identified dataset contains discharge level detail on patient characteristics, diagnoses, treatments, services, and charges. This data 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 The Statewide Planning and Research Cooperative System (SPARCS) Inpatient De-identified dataset contains discharge level detail on patient characteristics, diagnoses, treatments, services, charges and costs. This data 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. For example, the direct identifiers regarding a date have the day and month portion of the date removed.
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TwitterThis dataset is a summary of hospital inpatient discharges from every hospital including Article 28 facilities; Ambulatory Surgery and Emergency Department visits, from the Statewide Planning and Research Cooperative System (SPARCS). The data is rolled up by patient county of residence. This dataset was modified in September 2013 to be in sync with the release of the Hospital Inpatient Discharges (SPARCS De-Identified) datasets. Please refer to the data dictionary for information on the current data available.
The SPARCS data has been divided into two distinct datasets: Hospital Discharges by Patient County of Residence and Hospital Discharges by Facility. This is to preserve the confidentiality of identifiable individual information.This dataset does not include facility names.
Facebook
TwitterThe Statewide Planning and Research Cooperative System (SPARCS) Inpatient De-identified dataset contains discharge level detail on patient characteristics, diagnoses, treatments, services, and charges. This data 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 The Statewide Planning and Research Cooperative System (SPARCS) Inpatient De-identified dataset contains discharge level detail on patient characteristics, diagnoses, treatments, services, charges and costs. This data 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. For example, the direct identifiers regarding a date have the day and month portion of the date removed. A downloadable file with this data is available for ease of download at: https://health.data.ny.gov/Health/NYSDOH-Hospital-Inpatient-Discharges-SPARCS-De-Ide/9ix8-j96h. For more information check out: http://www.health.ny.gov/statistics/sparcs/ or go to the “About” tab.
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TwitterThe Statewide Planning and Research Cooperative System (SPARCS) is a comprehensive data reporting system which collects patient level detail on patient characteristics, diagnoses, treatments, services, and charges for every hospital discharge from an Article 28 facility; ambulatory surgery discharges from hospital-based ambulatory surgery centers and all other facilities providing ambulatory surgery services; and emergency department visits in New York State. This dataset is a summary of the SPARCS inpatient discharge data.
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TwitterThe Statewide Planning and Research Cooperative System (SPARCS) Inpatient De-identified dataset contains discharge level detail on patient characteristics, diagnoses, treatments, services, and charges. This data 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. For example, the direct identifiers regarding a date have the day and month portion of the date removed. A downloadable file with this data is available for ease of download at: https://health.data.ny.gov/Health/Hospital-Inpatient-Discharges-SPARCS-De-Identified/3m9u-ws8e. For more information check out: http://www.health.ny.gov/statistics/sparcs/ or go to the “About” tab.
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TwitterThis 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.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Dataset Card for SParC
SParC is a context-dependant multi-turn version of the Spider task 1.0. This dataset provides a chat-bot oriented test set for text-to-sql problems. Additional details may be obtained in the paper:
https://arxiv.org/abs/1906.02285
Paper Abstract
We present SParC, a dataset for cross-domainSemanticParsing inContext that consists of 4,298 coherent question sequences (12k+ individual questions annotated with SQL queries). It is obtained from… See the full description on the dataset page: https://huggingface.co/datasets/aherntech/sparc.
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TwitterThis dataset tracks the updates made on the dataset "Hospital Inpatient Discharges (SPARCS De-Identified): 2022" as a repository for previous versions of the data and metadata.
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TwitterThis dataset tracks the updates made on the dataset "Hospital Inpatient Discharges (SPARCS De-Identified): 2018" as a repository for previous versions of the data and metadata.
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TwitterThis dataset tracks the updates made on the dataset "Hospital Inpatient Discharges (SPARCS De-Identified): 2014" as a repository for previous versions of the data and metadata.
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TwitterThis dataset tracks the updates made on the dataset "Hospital Inpatient Discharges (SPARCS De-Identified): Cost Transparency: Beginning 2009" as a repository for previous versions of the data and metadata.
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TwitterThe Statewide Planning and Research Cooperative System (SPARCS) Inpatient De-identified dataset contains discharge level detail on patient characteristics, diagnoses, treatments, services, and charges. This data 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. For example, the direct identifiers regarding a date have the day and month portion of the date removed. A downloadable file with this data is available for ease of download at: https://health.data.ny.gov/Health/Hospital-Inpatient-Discharges-SPARCS-De-Identified/3m9u-ws8e. For more information check out: http://www.health.ny.gov/statistics/sparcs/ or go to the “About” tab.