Hospital Treatment Events Costs

**Overview**
This data package contains the Information including the U.S. national trends in the number of inpatient stays, Healthcare Resource Group (HRG) unit costs for acute hospital procedures, Medicare Inpatient Prospective Payment System (IPPS) for discharges costs, Ambulatory Payment Classification (APC) Groups, Short-Stay Hospitals discharges information for Aged Beneficiaries, All Beneficiaries, Information on Office visit per Medicare beneficiaries and hospitalization counts and rates.

**Description**
This data package contains the Information including the U.S. national trends in the number of inpatient stays, the average cost per stay (actual and inflation-adjusted), the average length of stay, and in-hospital mortality rate stratified by age, sex, expected payer, community-level income, and hospitalization type. Healthcare Resource Group unit costs for acute hospital procedures, broken down by hospital site, specialty on diagnosis at state and national level. Utilization trends for Emergency Department Services Level, Emergency Medical Services Authority (EMSA) Trauma Center Designation Level and Emergency Department services available for all licensed, comparable hospitals and Kaiser Foundation Hospitals in California. Medicare Inpatient Prospective Payment System (IPPS) payments for discharges paid under Medicare based on a rate per discharge using the Medicare Severity Diagnosis Related Group (MS-DRG).

Information on the discharges, total days of care, total charges, and program payments for Medicare beneficiaries discharged from Short-stay hospitals for aged beneficiaries, all beneficiaries, disabled beneficiaries. Information on office visit per Medicare beneficiaries at Hospital Referral Regions (HRR), Hospital Service Areas (HSA), State level. Information on estimated hospital-specific charges for select Ambulatory Payment Classification (APC) Groups paid under the Medicare Outpatient Prospective Payment System (OPPS) is also made available. Information on hospitalization counts and rates, statewide and by county, for ambulatory care sensitive conditions plus a number of composite measures which help to assess the quality of health services in the community are included in this data package.

**Benefits**
- Useful to public health specialists and specialized institutions to evaluate the utilization and the medicare costs associated with hospital inpatient, emergency and ambulatory healthcare services. useful to hospital administrative staff and other interested parties to evaluate and compare the hospital's healthcare services financial aspects from the medicare reimbursement perspective and of the healthcare services type. the field's descriptions along with the dataset description are again useful for the user to quickly understand the data and the dataset.

**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**
- [HCUP National Trend Inpatient Stay 1994-2013](https://www.johnsnowlabs.com/marketplace/hcup-national-trend-inpatient-stay-1994-2013)
- The dataset has United States national trends in the number of inpatient stays, average cost per stay (actual and inflation-adjusted), average length of stay, and in-hospital mortality rate from 1994-2013. The trends are stratified by age, sex, expected payer, community-level income, and hospitalization type.
- [HCUP National Trend Inpatient Stay 1994-2019](https://www.johnsnowlabs.com/marketplace/hcup-national-trend-inpatient-stay-1994-2019)
- The dataset has United States national trends in the number of inpatient stays, average cost per stay (actual and inflation-adjusted), average length of stay, and in-hospital mortality rate from 1994-2019. The trends are stratified by age, sex, expected payer, community-level income, and hospitalization type.
- [HCUP State Level Trend Inpatient Stay 2003-2015](https://www.johnsnowlabs.com/marketplace/hcup-state-level-trend-inpatient-stay-2003-2015)
- The dataset has information on the number of inpatient stays for every available calendar quarter at the level of State, hospitalization type, and expected payer. This results in 36 rows of data per available State.
- [HCUP State Level Trend Inpatient Stay 2003-2021](https://www.johnsnowlabs.com/marketplace/hcup-state-level-trend-inpatient-stay-2003-2021)
- The dataset has information on the number of inpatient stays for every available calendar quarter at the level of State, hospitalization type, and expected payer. This results in 36 rows of data per available State.
- [Health Resource Group Costs by Provider HRG Code and Location](https://www.johnsnowlabs.com/marketplace/health-resource-group-costs-by-provider-hrg-code-and-location)
- The dataset contains information of Healthcare Resource Group unit costs for acute hospital procedures, broken down by hospital site. This a merged dataset from years 2013 to 2020 for cost different hospital treatment criteria. Thirty-six (36) separate files were merged for this dataset.
- [Health Resource Group Costs by Specialty HRG Code and Location](https://www.johnsnowlabs.com/marketplace/health-resource-group-costs-by-specialty-hrg-code-and-location)
- The dataset contains information of Healthcare Resource Group unit costs for acute hospital procedures, broken down by Specialty on diagnosis. This a merged dataset from the year 2013 to 2020 for cost different hospital treatment criteria. Thirty-six (36) separate files were merged for this dataset.
- [Hospital Emergency Medical Services Utilization Trends 2009-2013](https://www.johnsnowlabs.com/marketplace/hospital-emergency-medical-services-utilization-trends-2009-2013)
- The dataset contains Emergency Department Services Level, Emergency Medical Services Authority (EMSA) Trauma Center Designation Level and Emergency Department services availability for all licensed, comparable hospitals and Kaiser Foundation Hospitals in California, 2009 through 2013.
- [Inpatient Utilization and Payment Data 2013](https://www.johnsnowlabs.com/marketplace/inpatient-utilization-and-payment-data-2013)
- The dataset includes hospital-specific charges for U.S. hospitals that receive Medicare Inpatient Prospective Payment System (IPPS) payments for 2013 for discharges paid under Medicare based on a rate per discharge using the Medicare Severity Diagnosis Related Group (MS-DRG).
- [Inpatient Utilization and Payment Data 2014](https://www.johnsnowlabs.com/marketplace/inpatient-utilization-and-payment-data-2014)
- The dataset includes hospital-specific charges for U.S. hospitals that receive Medicare Inpatient Prospective Payment System (IPPS) payments for 2014 for discharges paid under Medicare based on a rate per discharge using the Medicare Severity Diagnosis Related Group (MS-DRG).
- [Inpatient Utilization and Payment Data 2015](https://www.johnsnowlabs.com/marketplace/inpatient-utilization-and-payment-data-2015)
- The dataset provided here include hospital-specific charges for the U.S. hospitals that receive Medicare Inpatient Prospective Payment System (IPPS) payments for discharges, paid under Medicare based on a rate per discharge using the Medicare Severity Diagnosis Related Group (MS-DRG) for Fiscal Year (FY) 2015. These MS-DRGs represent more than 7 million discharges or 75 percent of total Medicare IPPS discharges.
- [Inpatient Utilization and Payment Data 2016](https://www.johnsnowlabs.com/marketplace/inpatient-utilization-and-payment-data-2016)
- The dataset provided here include hospital-specific charges for the U.S. hospitals that receive Medicare Inpatient Prospective Payment System (IPPS) payments for discharges, paid under Medicare based on a rate per discharge using the Medicare Severity Diagnosis Related Group (MS-DRG) for Fiscal Year (FY) 2016. These MS-DRGs represent more than 7 million discharges or 75 percent of total Medicare IPPS discharges.
- [Inpatient Utilization and Payment Data 2017](https://www.johnsnowlabs.com/marketplace/inpatient-utilization-and-payment-data-2017)
- The dataset provided here include hospital-specific charges for the U.S. hospitals that receive Medicare Inpatient Prospective Payment System (IPPS) payments for discharges, paid under Medicare based on a rate per discharge using the Medicare Severity Diagnosis Related Group (MS-DRG) for Fiscal Year (FY) 2017. These MS-DRGs represent more than 7 million discharges or 75 percent of total Medicare IPPS discharges.
- [Inpatient Utilization and Payment Data 2018](https://www.johnsnowlabs.com/marketplace/inpatient-utilization-and-payment-data-2018)
- The dataset provided here include hospital-specific charges for the U.S. hospitals that receive Medicare Inpatient Prospective Payment System (IPPS) payments for discharges, paid under Medicare based on a rate per discharge using the Medicare Severity Diagnosis Related Group (MS-DRG) for Fiscal Year (FY) 2018. These MS-DRGs represent more than 7 million discharges or 75 percent of total Medicare IPPS discharges.
- [Inpatient Utilization and Payment Data 2019](https://www.johnsnowlabs.com/marketplace/inpatient-utilization-and-payment-data-2019)
- The dataset provided here include hospital-specific charges for the U.S. hospitals that receive Medicare Inpatient Prospective Payment System (IPPS) payments for discharges, paid under Medicare based on a rate per discharge using the Medicare Severity Diagnosis Related Group (MS-DRG) for Fiscal Year (FY) 2019. These MS-DRGs represent more than 7 million discharges or 75 percent of total Medicare IPPS discharges.
- [Inpatient Utilization and Payment Data 2020](https://www.johnsnowlabs.com/marketplace/inpatient-utilization-and-payment-data-2020)
- The dataset provided here include hospital-specific charges for the U.S. hospitals that receive Medicare Inpatient Prospective Payment System (IPPS) payments for discharges, paid under Medicare based on a rate per discharge using the Medicare Severity Diagnosis Related Group (MS-DRG) for Fiscal Year (FY) 2020. These MS-DRGs represent more than 7 million discharges or 75 percent of total Medicare IPPS discharges.
- [Medicare Beneficiary Office Visit by HRR HSA and State Levels](https://www.johnsnowlabs.com/marketplace/medicare-beneficiary-office-visit-by-hrr-hsa-and-state-levels)
- The dataset gives information on Office visit per Medicare beneficiaries at Hospital Service Area (HSA), Hospital Referral Region (HRR) and State level for the year 2012. To calculate annual office visits to primary care clinicians, to general internists and family physicians and nurse practitioners are included. To calculate the rate (a proportion), the event (the numerator) was a beneficiary with at least one primary care clinician visit. These rates were calculated for the year 2012.
- [Medicare Beneficiary Short Stay Hospital Charges and Discharges](https://www.johnsnowlabs.com/marketplace/medicare-beneficiary-short-stay-hospital-charges-and-discharges)
- The dataset gives information on the Discharges, Total Days of Care, Total Charges, and Program Payments for Medicare Beneficiaries Discharged from Short-Stay Hospitals, by Type of Entitlement for the Calendar Years 1972-2011. Here the type of entitlement is for Aged Beneficiaries.
- [Outpatient Utilization and Payment Data 2013](https://www.johnsnowlabs.com/marketplace/outpatient-utilization-and-payment-data-2013)
- The dataset includes estimated hospital-specific charges for select Ambulatory Payment Classification (APC) Groups paid under the Medicare Outpatient Prospective Payment System (OPPS) for Calendar Year 2013.
- [Outpatient Utilization and Payment Data 2014](https://www.johnsnowlabs.com/marketplace/outpatient-utilization-and-payment-data-2014)
- The dataset includes estimated hospital-specific charges for select Ambulatory Payment Classification (APC) Groups paid under the Medicare Outpatient Prospective Payment System (OPPS) for Calendar Year 2014.
- [Outpatient Utilization and Payment Data 2015](https://www.johnsnowlabs.com/marketplace/outpatient-utilization-and-payment-data-2015)
- The dataset includes estimated hospital-specific charges for select Ambulatory Payment Classification (APC) Groups paid under the Medicare Outpatient Prospective Payment System (OPPS) for Calendar Year 2015.
- [Outpatient Utilization and Payment Data 2016](https://www.johnsnowlabs.com/marketplace/outpatient-utilization-and-payment-data-2016)
- The dataset includes estimated hospital-specific charges for select Ambulatory Payment Classification (APC) Groups paid under the Medicare Outpatient Prospective Payment System (OPPS) for Calendar Year 2016.
- [Outpatient Utilization and Payment Data 2017](https://www.johnsnowlabs.com/marketplace/outpatient-utilization-and-payment-data-2017)
- The dataset includes estimated hospital-specific charges for select Ambulatory Payment Classification (APC) Groups paid under the Medicare Outpatient Prospective Payment System (OPPS) for Calendar Year 2017.
- [Outpatient Utilization and Payment Data 2018](https://www.johnsnowlabs.com/marketplace/outpatient-utilization-and-payment-data-2018)
- The dataset includes estimated hospital-specific charges for select Ambulatory Payment Classification (APC) Groups paid under the Medicare Outpatient Prospective Payment System (OPPS) for Calendar Year 2018.
- [Outpatient Utilization and Payment Data 2019](https://www.johnsnowlabs.com/marketplace/outpatient-utilization-and-payment-data-2019)
- The dataset includes estimated hospital-specific charges for select Ambulatory Payment Classification (APC) Groups paid under the Medicare Outpatient Prospective Payment System (OPPS) for Calendar Year 2019.
- [Outpatient Utilization and Payment Data 2020](https://www.johnsnowlabs.com/marketplace/outpatient-utilization-and-payment-data-2020)
- The dataset includes estimated hospital-specific charges for select Ambulatory Payment Classification (APC) Groups paid under the Medicare Outpatient Prospective Payment System (OPPS) for Calendar Year 2020.
- [Rates of Preventable Hospitalizations by County](https://www.johnsnowlabs.com/marketplace/rates-of-preventable-hospitalizations-by-county)
- The dataset contains hospitalization counts and rates, statewide and by county, for 12 ambulatory care sensitive conditions plus 4 composite measures.

**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.

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If you have questions about our products, contact us at [[e-mail]](mailto:[e-mail]).

搜集汇总

背景与挑战

背景概述

该数据集汇总了美国医院治疗事件的各类成本数据，包括住院趋势、医疗资源组成本、医疗保险支付系统信息等，适用于公共卫生专家和医院管理人员进行医疗服务成本评估与分析。