The Agency for Healthcare Research and Quality (AHRQ) created SyH-DR from eligibility and claims files for Medicare, Medicaid, and commercial insurance plans in calendar year 2016. SyH-DR contains data from a nationally representative sample of insured individuals for the 2016 calendar year. SyH-DR uses synthetic data elements at the claim level to resemble the marginal distribution of the original data elements. SyH-DR person-level data elements are not synthetic, but identifying information is aggregated or masked.

The website shows data on the plan and implementation of the health services program by individual health activities (VZD) :

• hospital medical activity,
• general outpatient medical activity,
• specialist outpatient medical activity,
• dental practice,
• other health activities,
• activity of accommodation facilities for patient care,
• social care without accommodation for the elderly and disabled,
• production of pharmaceutical preparations,
• retail trade in specialized stores with pharmaceutical products,
• compulsory social security activity.

Within the framework of each activity, the data for each period are shown separately by contractors and together, the activity by regional units of ZZZS and the activity data at the level of Slovenia together.

Data on the plan and implementation of the health services program are shown in the accounting unit (e.g. points, quotients, weights, groups of comparable cases, non-medical care day, care, days...), which are used to calculate the work performed in the field of individual activities.

The publication of information about the plan and implementation of the program on the ZZZS website is primarily intended for the professional public. The displayed program plan for an individual contractor refers to the defined billing period. (example: The plan for the period 1-3 201X is calculated as 3/12 of the annual plan agreed in the contract).

The data on the implementation of the program represents the implementation of the program at an individual provider for insured persons who benefited from medical services from him during the accounting period. Data on the realization of the program do not refer to persons insured in accordance with the European legal order and bilateral agreements on social security. Data for individual contractors are classified by regional units based on the contractor's headquarters. The content of the data on the "number of cases" is defined in the Instruction on recording and accounting for medical services and issued materials.

The institute reserves the right to change the data, in the event of subsequently discovered irregularities after already published on the Internet.

Abstract

Taiwan launched a single-payer National Health Insurance program on March 1, 1995.

Documentation

Taiwan launched a single-payer National Health Insurance program on March 1, 1995. As of 2014, 99.9% of Taiwan\342\200\231s population were enrolled. Foreigners in Taiwan are also eligible for this program. The database of this program contains registration files and original claim data for reimbursement. Large computerized databases derived from this system by the National Health Insurance Administration (the former Bureau of National Health Insurance, BNHI), Ministry of Health and Welfare (the former Department of Health, DOH), Taiwan and maintained by the National Health Research Institutes, Taiwan, are provided to scientists in Taiwan for research purposes.

An article describing these data in greater detail can be found here: Lessons From the Taiwan National Health Insurance Research Database

Patient characteristics Individuals enrolled in the Taiwanese national healthcare system

Data overview Data categories Inpatient Outpatient Pharmacy data Over-the-counter drugs Chinese medicine Clinician information Hospital information

Linkages include Household Birth certificate Death certificate Cancer Immunization record Reportable infectious disease

Notes If you are interested in a collaboration working with these data, please contact the Dr Ann Hsing at .

Use and costs (US$) of healthcare services in the year 2010 by office-based physicians, hospital-based physicians, and comparison subjects.

The National Health Data System (SNDS) will make it possible to link:

• health insurance data (SNIIRAM database);
• hospital data (PMSI database);
• the medical causes of death (base of the CépiDC of Inserm);
• disability-related data (from MDPH - CNSA data);
• a sample of data from complementary health insurance organisations.

The first two categories of data are already available and constitute the first version of the SNDS. The medical causes of death should feed the SNDS from the second half of 2017. The first data from the CNSA will arrive from 2018 and the sample of complementary organizations in 2019.

The purpose of the SNDS is to make these data available in order to promote studies, research or evaluations of a nature in the public interest and contributing to one of the following purposes:

• health information;
• the implementation of health policies;
• knowledge of health expenditure;
• informing professionals and establishments about their activities;
• innovation in the fields of health and medico-social care;
• monitoring, surveillance and health security.

This layer shows the market potential for an adult to carry medical/hospital/accident insurance in the U.S. in 2016 in a multiscale map (by country, state, county, ZIP Code, tract, and block group). The pop-up is configured to include the following information for each geography level:Market Potential Index and count of adults expected to carry medical/hospital/accident insuranceMarket Potential Index and count of adults expected to carry different types of medical insurance (HMO, PPO, etc)Market Potential Index and count of adults expected to carry insurance from various sources (Medicare, place of work, etc)Esri's 2016 Market Potential (MPI) data measures the likely demand for a product or service in an area. The database includes an expected number of consumers and a Market Potential Index (MPI) for each product or service. An MPI compares the demand for a specific product or service in an area with the national demand for that product or service. The MPI values at the US level are 100, representing average demand for the country. A value of more than 100 represents higher demand than the national average, and a value of less than 100 represents lower demand than the national average. For example, an index of 120 implies that demand in the area is 20 percent higher than the US average; an index of 80 implies that demand is 20 percent lower than the US average. See Market Potential database to view the methodology statement and complete variable list.Esri's Financial & Insurance Data Collection includes data that measures the likely demand for financial and insurance products and services, including health insurance. The database includes an expected number of consumers and a Market Potential Index (MPI) for each product, activity, or service. See the United States Data Browser to view complete variable lists for each Esri demographics collection.Additional Esri Resources:U.S. 2016/2021 Esri Updated DemographicsEssential demographic vocabularyEsri's arcgis.com demographic map layers

Abstract

The Colorado All Payer Claims Database (CO APCD) is a state-legislated, secure health care claims database compliant with all federal privacy laws. It contains nearly 920 million claims for approximately 65 percent of insured lives in Colorado, with information from 42 commercial health insurance plans. Health insurance payers submit data monthly and the entire database is refreshed every other month, so the CO ACPD is continually evolving and being enhanced.

Usage

The dataset was extracted by the Center for Improving Value in Health Care (CIVHC) to support Stanford University COVID Long Haul Analysis. It includes medical, pharmacy, and dental claims files with coverage dates from 01/01/2012 to 08/31/2021.

For more information of CO APCD please refer to https://www.civhc.org/get-data/whats-in-the-co-apcd/

Before Manuscript Submission

All manuscripts (and other items you'd like to publish) must be submitted to

phsdatacore@stanford.edu for approval prior to journal submission.

We will check your cell sizes and citations.

For more information about how to cite PHS and PHS datasets, please visit:

https:/phsdocs.developerhub.io/need-help/citing-phs-data-core

Data Documentation

Metadata access is required to view this section.

United States Health Insurance: Premium Per Member Per Month data was reported at 364.000 USD in Sep 2024. This stayed constant from the previous number of 364.000 USD for Jun 2024. United States Health Insurance: Premium Per Member Per Month data is updated quarterly, averaging 262.000 USD from Mar 2012 (Median) to Sep 2024, with 51 observations. The data reached an all-time high of 364.000 USD in Sep 2024 and a record low of 178.000 USD in Sep 2013. United States Health Insurance: Premium Per Member Per Month data remains active status in CEIC and is reported by National Association of Insurance Commissioners. The data is categorized under Global Database’s United States – Table US.RG017: Health Insurance: Industry Financial Snapshots.

This study contains the New York State Medical Professional Liability Insurance Claims Database: DOH-787, 1986-1995. Restricted access. Permission to use must be obtained from NY State Department of Health.

Register of Health Care Providers is the basic national database
on health care system, medical staff and other health care employees. It is intended for planning and monitoring the public health service network, planning and monitoring the movement of health personnel, and implementation of health care and health insurance systems. It serves as a register of individual groups of medical staff, separately
doctors, dentists, pharmacists and private health professionals.

The Vektis Health Insurance Act Data Files are based on the health care costs paid by the health insurers. The files are divided into the various cost categories within the basic insurance, such as specialist medical care, pharmacy, mental health care, general practitioners, medical aids, dental care (for children), paramedical care and maternity care. These healthcare costs are broken down by gender, age and the number of insured years, both on the first three digits of the postal code and at municipality level. The files are offered at an aggregated level so that privacy is guaranteed and data can never be traced back to individual persons, health insurers and healthcare institutions. The file contains data from a total of 17 million insured persons under the Health Insurance Act.

This data package contains the Physician Quality Reporting System (PQRS), Performance Rates for Individual Eligible Professionals (EP) PQRS, Consumer Assessment of Healthcare Providers and Systems (CAHPS) and Group Practice.

United States Health Insurance: Accident and Health: Covered Lives: Medicare data was reported at 28,863,950.000 Person in 2023. This records an increase from the previous number of 26,187,528.000 Person for 2022. United States Health Insurance: Accident and Health: Covered Lives: Medicare data is updated yearly, averaging 20,915,417.000 Person from Dec 2015 (Median) to 2023, with 9 observations. The data reached an all-time high of 28,863,950.000 Person in 2023 and a record low of 15,284,821.000 Person in 2015. United States Health Insurance: Accident and Health: Covered Lives: Medicare data remains active status in CEIC and is reported by National Association of Insurance Commissioners. The data is categorized under Global Database’s United States – Table US.RG021: Health Insurance: Accident and Health: Number of Covered Lives by Lines of Business.

The Texas Department of Insurance, Division of Workers' Compensation (DWC) maintains a database of institutional medical billing services (SV2). It contains charges, payments, and treatments billed on a CMS-1450 form (UB-92, UB-04) by hospitals and medical facilities that treat injured employees, excluding ambulatory surgical centers, with dates of service more than five years old. For datasets from the past five years, see institutional medical billing services (SV2) header information. The header identifies insurance carriers, injured employees, employers, place of service, and diagnostic information. The bill header information groups individual line items reported in the detail section. The bill selection date and bill ID must be used to group individual line items into a single bill. Find more information in our institutional medical billing services (SV2) header data dictionary. See institutional medical billing services (SV2) detail information- historical for the corresponding detail records related to this dataset. Go to our page on DWC medical state reporting public use data file (PUDF) to learn more about using this information.

United States Health Insurance: Accident and Health: Covered Lives: Other Business data was reported at 180,711,493.000 Person in 2023. This records a decrease from the previous number of 185,970,398.000 Person for 2022. United States Health Insurance: Accident and Health: Covered Lives: Other Business data is updated yearly, averaging 185,970,398.000 Person from Dec 2015 (Median) to 2023, with 9 observations. The data reached an all-time high of 206,512,850.000 Person in 2018 and a record low of 158,896,327.000 Person in 2017. United States Health Insurance: Accident and Health: Covered Lives: Other Business data remains active status in CEIC and is reported by National Association of Insurance Commissioners. The data is categorized under Global Database’s United States – Table US.RG021: Health Insurance: Accident and Health: Number of Covered Lives by Lines of Business.

The OECD Health database is an online database with comparative information on health policies and health care systems across the OECD countries (OECD). The purpose of the database is to give a broad overview of health care in the member countries. It offers a series of reports, which contain diverse cross-national policy data, on issues like long-term care for older people, high-performing health systems and private health insurance. Here we focus on policy data.

The Texas Department of Insurance, Division of Workers' Compensation (DWC) maintains a database of professional medical billing services (SV1). It contains charges, payments, and treatments billed on a CMS-1500 form by doctors and other health care professionals who treat injured employees, including ambulatory surgical centers, with dates of service for the last five years. For datasets going back to 2010, see professional medical billing services (SV1) header information – historical. The header identifies insurance carriers, injured employees, employers, place of service, and diagnostic information. The bill header information groups individual line items reported in the detail section. The bill selection date and bill ID must be used to group individual line items into a single bill. Find more information in our professional medical billing services (SV1) header data dictionary. See professional medical billing services (SV1) detail information for the corresponding detail records related to this dataset. Go to our page on DWC medical state reporting public use data file (PUDF) to learn more about using this information.

Abstract

The MarketScan Medicare Supplemental Database provides detailed cost, use and outcomes data for healthcare services performed in both inpatient and outpatient settings.

It Include Medicare Supplemental records for all years, and Medicare Advantage records starting in 2020.

This page also contains the MarketScan Medicare Lab Database starting in 2018.

Methodology

MarketScan Research Databases are a family of data sets that fully integrate many types of data for healthcare research, including:

• De-identified records of more than 250 million patients (medical, drug and dental)

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• Laboratory results

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• Hospital discharges

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The MarketScan Databases track millions of patients throughout the healthcare system. The data are contributed by large employers, managed care organizations, hospitals, EMR providers and Medicare.

Before Manuscript Submission

All manuscripts (and other items you'd like to publish) must be submitted to

support@stanfordphs.freshdesk.com for approval prior to journal submission.

We will check your cell sizes and citations.

For more information about how to cite PHS and PHS datasets, please visit:

https:/phsdocs.developerhub.io/need-help/citing-phs-data-core

Data Documentation

Data access is required to view this section.

Section 2

Metadata access is required to view this section.

Section 3

Metadata access is required to view this section.

Demographic characteristics of physicians and comparison subjects (n = 2852).

United States Health Insurance: Claims Per Member Per Month: Comprehensive Hospital & Medical data was reported at 419.000 USD in 2023. This records a decrease from the previous number of 428.000 USD for 2022. United States Health Insurance: Claims Per Member Per Month: Comprehensive Hospital & Medical data is updated yearly, averaging 310.000 USD from Dec 2007 (Median) to 2023, with 17 observations. The data reached an all-time high of 429.000 USD in 2021 and a record low of 227.850 USD in 2008. United States Health Insurance: Claims Per Member Per Month: Comprehensive Hospital & Medical data remains active status in CEIC and is reported by National Association of Insurance Commissioners. The data is categorized under Global Database’s United States – Table US.RG022: Health Insurance: Operations by Lines of Business.