Occupational Health And Safety

**Overview**
Information on utilization and payment data for Home health agency, Hospice, skilled nursing facitlity. Information on Inpatient Prospective Payment System (IPPS) payments, Inpatient Rehabilitation Facilities (IRFs)

**Description**
Information on Home Health Agency and Hospice providers Utilization and Payment data, Inpatient Prospective Payment System (IPPS) payments for the most frequently billed discharges, paid under Medicare based on a rate per discharge using the Medicare Severity Diagnosis Related Group (MS-DRG), list of inpatient rehabilitation facilities with data on the number of times people with Medicare who had certain medical conditions were treated in the last year. General information on the Inpatient Rehabilitation Facilities (IRFs) and information about the Inpatient Rehabilitation Facilities (IRFs) Prospective Payment System (PPS) Rate Settings and data regarding different measure codes and their corresponding scores for majority of the IRFs. Data on the spending and utilization data in the Home Health Agency PUF are aggregated to the identification number for the agency, the Home Health Resource Group (HHRG) and by state. Information on the annual most frequent hospice diagnoses, the number of patients, and average length of stay. The Medicare Part D Prescriber Public Use File provides information on prescription drug events (PDEs) incurred by Medicare beneficiaries with a Part D prescription drug plan by National Provider Identifier (NPI) and drug name and contains information on drug utilization (claim counts and day supply) and total drug costs. The Skilled Nursing Facility Public Use File contains information on utilization, payment (allowed amount, Medicare payment and standard payment), submitted charges, and beneficiary demographic and chronic condition indicators organized by Centres for Medicare and Medicaid Services Certification Number (6-digit provider identification number), Resource Utilization Group (RUG), and state of service.

**Benefits**
- Provider payment information, cost of healthcare, medical insurance cost

**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**
- [Days Lost Due To Work Related Illness By Gender And Age In UK](https://www.johnsnowlabs.com/marketplace/days-lost-due-to-work-related-illness-by-gender-and-age-in-uk)
- This dataset contains estimates for the number of working days lost due to work-related illness and the rate of working days lost per worker and the rate of working days lost per case of work-related illness, by type of illness, gender and occupation, in the United Kingdom. The statistics are calculated by Health and Safety Executive (HSE) based on the Labor Force Survey (LFS) data provided by the Office for National Statistics.
- [Days Lost Due To Work Related Illness By Industry In UK](https://www.johnsnowlabs.com/marketplace/days-lost-due-to-work-related-illness-by-industry-in-uk)
- This dataset contains estimates for the number of working days lost due to work-related illness and the rate of working days lost per worker, by type of illness and industry, in the United Kingdom. The statistics are calculated by Health and Safety Executive (HSE) based on the Labor Force Survey (LFS) data provided by the Office for National Statistics.
- [Days Lost Due To Work Related Illness By Occupation In UK](https://www.johnsnowlabs.com/marketplace/days-lost-due-to-work-related-illness-by-occupation-in-uk)
- This dataset contains estimates for the number of working days lost due to work-related illness and the rate of working days lost per worker, by type of illness and occupation, in the United Kingdom. The statistics are calculated by Health and Safety Executive (HSE) based on the Labor Force Survey (LFS) data provided by the Office for National Statistics.
- [Days Lost Due To Workplace Injuries By Gender And Age In UK](https://www.johnsnowlabs.com/marketplace/days-lost-due-to-workplace-injuries-by-gender-and-age-in-uk)
- This dataset contains estimates for the number of working days lost due to workplace non-fatal injuries and the rates of working days lost per worker and per case of injury, by the gender and age of workers, in the United Kingdom. The statistics are calculated by Health and Safety Executive (HSE) based on the Labor Force Survey (LFS) data provided by the Office for National Statistics.
- [Days Lost Due To Workplace Injuries By Industry In UK](https://www.johnsnowlabs.com/marketplace/days-lost-due-to-workplace-injuries-by-industry-in-uk)
- This dataset contains estimates for the number of working days lost due to workplace non-fatal injuries and the rate of working days lost per worker, by industry, in the United Kingdom. The statistics are calculated by Health and Safety Executive (HSE) based on the Labor Force Survey (LFS) data provided by the Office for National Statistics.
- [Days Lost Due To Workplace Injuries By Occupation In UK](https://www.johnsnowlabs.com/marketplace/days-lost-due-to-workplace-injuries-by-occupation-in-uk)
- This dataset contains estimates for the number of working days lost due to workplace non-fatal injuries and the rate of working days lost per worker, by occupation, in the United Kingdom. The statistics are calculated by Health and Safety Executive (HSE) based on the Labor Force Survey (LFS) data provided by the Office for National Statistics.
- [Lost Time Injuries Frequency By Gender And Age In UK](https://www.johnsnowlabs.com/marketplace/lost-time-injuries-frequency-by-gender-and-age-in-uk)
- This dataset contains the estimated number of new cases of non-fatal injuries, along with the incidence rates of non-fatal injuries, by the gender and age of workers, made available by the Health and Safety Executive (HSE) for the employees working in the United Kingdom. The statistics are calculated by HSE based on the Labor Force Survey (LFS) data provided by the Office for National Statistics.
- [Lost Time Injuries Frequency By Industry In UK](https://www.johnsnowlabs.com/marketplace/lost-time-injuries-frequency-by-industry-in-uk)
- This dataset contains the estimated number of new cases of non-fatal injuries, along with the incidence rates of non-fatal injuries, by industry, made available by the Health and Safety Executive (HSE) for the employees working in the United Kingdom. The statistics are calculated by HSE based on the Labor Force Survey (LFS) data provided by the Office for National Statistics.
- [Lost Time Injuries Frequency By Occupation In UK](https://www.johnsnowlabs.com/marketplace/lost-time-injuries-frequency-by-occupation-in-uk)
- This dataset contains the estimated number of new cases of non-fatal injuries, along with the incidence rates of non-fatal injuries, by occupation, made available by the Health and Safety Executive (HSE) for the employees working in the United Kingdom. The statistics are calculated by HSE based on the Labor Force Survey (LFS) data provided by the Office for National Statistics.
- [NIOSH Cancer Mortality Among US Workers By Industry](https://www.johnsnowlabs.com/marketplace/niosh-cancer-mortality-among-us-workers-by-industry)
- The dataset contains data for US workers who resided and died due to cancer during 2007-2010, in one of 25 US States. Mortality described through proportionate mortality ratios (PMRs) along with the number of deaths is described by the type of cancer, gender and age-group of workers, as well as by the industry they worked in.
- [NIOSH Cardiovascular Mortality Among US Workers By Industry](https://www.johnsnowlabs.com/marketplace/niosh-cardiovascular-mortality-among-us-workers-by-industry)
- The dataset contains data for US workers who resided and died due to a cardiovascular disease during the periods 2007-2010, in one of 25 US States. Mortality described through proportionate mortality ratios (PMRs) along with the number of deaths is described by the type of cardiovascular disease, gender and age-group of workers, as well as by the industry they worked in.
- [NIOSH Dust Exposure And Pneumoconiosis Among US Coal Miners](https://www.johnsnowlabs.com/marketplace/niosh-dust-exposure-and-pneumoconiosis-among-us-coal-miners)
- The dataset contains data based on radiographic readings and dust samples assessments performed during the first round of The National Study of Coal Workers' Pneumoconiosis. Data about the presence or absence of massive progressive lung fibrosis is presented along with miners age, radiological opacities profusion category, data about respirable dust exposures and coal rank regions.
- [NIOSH Employees Hearing Loss Data By Industry In US](https://www.johnsnowlabs.com/marketplace/niosh-employees-hearing-loss-data-by-industry-in-us)
- The dataset contains audiometric data collected from audiograms performed on workers who were exposed to hazardous noise levels on the job (≥85 dBA) and were tested to comply with government regulations or safety recommendations. The audiometric data from this dataset is based on audiograms performed from 2000 to 2008.
- [NIOSH Lead Exposure Data By Type Of Job](https://www.johnsnowlabs.com/marketplace/niosh-lead-exposure-data-by-type-of-job)
- The dataset contains workplace lead measurement results collected during health hazards evaluation surveys from 1991 to 2015 for over 1200 personal lead exposure assessment. The data about exposure are estimates of lead concentration in air and on working area surfaces and are accompanied by description of location, industry, work type, working area, the activity that generates exposure, use of specific personal protective equipment as well as other variables.
- [NIOSH Lead Exposure Data By Work Area](https://www.johnsnowlabs.com/marketplace/niosh-lead-exposure-data-by-work-area)
- The dataset contains workplace lead measurement results collected during health hazards evaluation surveys from 1991 to 2015 for over 1,900 area lead exposure assessment. The data about exposure are estimates of lead concentration in air and on working area surfaces and are accompanied by description of location, industry, working area, the activity that generates exposure, as well as other variables.
- [NIOSH Noise Exposure Data By Type Of Job](https://www.johnsnowlabs.com/marketplace/niosh-noise-exposure-data-by-type-of-job)
- The dataset contains workplace noise measurement results collected during health hazards evaluation surveys from 1997 to 2013 for over 800 personal noise exposure assessments. The collected data about exposure are based on OSHA and NIOSH assessment criteria and are accompanied by description of location, industry, work type, working area, the activity that generates exposure, use of specific personal protective equipment as well as other variables.
- [NIOSH Noise Exposure Data By Work Area](https://www.johnsnowlabs.com/marketplace/niosh-noise-exposure-data-by-work-area)
- The dataset contains workplace noise measurement results collected during health hazards evaluation surveys from 1996 to 2013 for over 580 area noise level assessments. The collected data about exposure are based on OSHA and NIOSH assessment criteria and are accompanied by description of location, industry, working area, the activity that generates exposure, as well as other variables.
- [NIOSH Prevalence Of Pneumoconiosis In A Cohort Of Coal Miners](https://www.johnsnowlabs.com/marketplace/niosh-prevalence-of-pneumoconiosis-in-a-cohort-of-coal-miners)
- The dataset contains data for pneumoconiosis prevalence among a cohort of 3,194 bituminous coal miners and ex-miners examined between 1985 and 1988. Data about the presence or absence of massive progressive lung fibrosis is presented along with miners age, radiological opacities profusion category, data about respirable dust exposures and ranks of coal mines.
- [NIOSH US Firefighters Anthropometric Measurements Data](https://www.johnsnowlabs.com/marketplace/niosh-us-firefighters-anthropometric-measurements-data)
- The dataset contains recent anthropometric measurements data useful for updating ergonomic and safety specifications for fire apparatus and firefighter personal protective equipment (PPE). Data collected during the anthropometric measurements performed and from the consecutive analysis done on primary data is segregated by gender of individuals, posture and wearing or not of the gear during measurements and as well by the type of units (metric or imperial).
- [OSHA Work Related Fatalities And Catastrophes Inspection Report Data](https://www.johnsnowlabs.com/marketplace/osha-work-related-fatalities-and-catastrophes-inspection-report-data)
- The dataset contains data about work-related fatalities and catastrophes based on the incident investigations done by The Occupational Safety and Health Administration (OSHA) and State Plan jurisdiction for cases that have been closed on or after January 1, 2017. Work-related fatalities and catastrophes are described by date, city or place, state, ZIP Code, number along with a short description of the incident.
- [US Bureau Of Labor Statistics Injury And Illness Data By Industry](https://www.johnsnowlabs.com/marketplace/us-bureau-of-labor-statistics-injury-and-illness-data-by-industry)
- This dataset contains non-fatal injury and illness data by industry from US Bureau of Labor Statistics for 2016. The industries are classified according to the North American Industry Classification System (NAICS).
- [Work Related Illness Frequency By Gender And Age In UK](https://www.johnsnowlabs.com/marketplace/work-related-illness-frequency-by-gender-and-age-in-uk)
- This dataset contains the estimated number of incident and prevalent cases of illness, along with the incidence and prevalence rates of illnesses, by the gender and age of workers, made available by the Health and Safety Executive (HSE) for the employees working in the United Kingdom. The statistics are calculated by HSE based on the Labor Force Survey (LFS) data provided by the Office for National Statistics.
- [Work Related Illness Frequency By Industry In UK](https://www.johnsnowlabs.com/marketplace/work-related-illness-frequency-by-industry-in-uk)
- This dataset contains the estimated number of incident and prevalent cases of illness, along with the incidence and prevalence rates of illnesses, by industry, made available by the Health and Safety Executive (HSE) for the employees working in the United Kingdom. The statistics are calculated by HSE based on the Labor Force Survey (LFS) data provided by the Office for National Statistics.
- [Work Related Illness Frequency By Occupation In UK](https://www.johnsnowlabs.com/marketplace/work-related-illness-frequency-by-occupation-in-uk)
- This dataset contains the estimated number of incident and prevalent cases of illness, along with the incidence and prevalence rates of illnesses, by occupation made available by the Health and Safety Executive (HSE) for the employees working in the United Kingdom. The statistics are calculated by HSE based on the Labor Force Survey (LFS) data provided by the Office for National Statistics.

**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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