The dataset includes fiscal year data for initial claims for SSA disability benefits that were referred to a state agency for a disability determination. Specific data elements for each year and state include receipts, determinations, eligible population, and favorable determination rates.

Insurance: Claim Incurred data was reported at 6,589.776 BRL mn in Feb 2025. This records a decrease from the previous number of 6,851.124 BRL mn for Jan 2025. Insurance: Claim Incurred data is updated monthly, averaging 4,074.157 BRL mn from Dec 2013 (Median) to Feb 2025, with 135 observations. The data reached an all-time high of 8,320.939 BRL mn in May 2024 and a record low of 2,525.717 BRL mn in Jun 2014. Insurance: Claim Incurred data remains active status in CEIC and is reported by Superintendence of Private Insurance. The data is categorized under Global Database’s Brazil – Table BR.RG002: Insurance: Claims. [COVID-19-IMPACT]

Dataset

This dataset was created by Bunty Shah

Contents

The Workers’ Compensation Board (WCB) administers and regulates workers’ compensation benefits, disability benefits, volunteer firefighters’ benefits, volunteer ambulance workers’ benefits, and volunteer civil defense workers’ benefits. The WCB processes and adjudicates claims for benefits; ensures employer compliance with the requirement to maintain appropriate insurance coverage; and regulates the various system stakeholders, including self-insured employers, medical providers, third party administrators, insurance carriers and legal representatives. Claim assembly occurs when the WCB learns of a workplace injury and assigns the claim a WCB claim number. The WCB “assembles” a claim in which an injured worker has lost more than one week of work, has a serious injury that may result in a permanent disability, is disputed by the carrier or employer, or receives a claim form from the injured worker (Form C-3). A reopened claim is one that has been reactivated to resolve new issues following a finding that no further action was necessary

The COVID-19 Claims Reimbursement to Health Care Providers and Facilities for Testing, Treatment, and Vaccine Administration for the Uninsured Program provides reimbursements on a rolling basis directly to eligible health care entities for claims that are attributed to the testing, treatment, and or vaccine administration of COVID-19 for uninsured individuals. The program funding information is as follow:

TESTING The American Rescue Plan Act (ARP) which provided $4.8 billion to reimburse providers for testing the uninsured; the Families First Coronavirus Response Act (FFCRA) Relief Fund, which includes funds received from the Public Health and Social Services Emergency Fund, as appropriated in the FFCRCA (P.L. 116-127) and the Paycheck Protection Program and Health Care Enhancement Act (P.L. 116-139) (PPPHCEA), which each appropriated $1 billion to reimburse health care entities for conducting COVID-19 testing for the uninsured.

TREATMENT & VACCINATION The Provider Relief Fund, which includes funds received from the Public Health and Social Services Emergency Fund, as appropriated in the Coronavirus Aid, Relief, and Economic Security (CARES) Act (P.L. 116-136), provided $100 billion in relief funds. The PPPHCEA appropriated an additional $75 billion in relief funds and the Coronavirus Response and Relief Supplemental Appropriations (CRRSA) Act (P.L. 116-260) appropriated another $3 billion. Within the Provider Relief Fund, a portion of the funding from these sources will be used to support healthcare-related expenses attributable to the treatment of uninsured individuals with COVID-19 and vaccination of uninsured individuals. To learn more about the program, visit: https://www.hrsa.gov/CovidUninsuredClaim

This dataset represents the list of health care entities who have agreed to the Terms and Conditions and received claims reimbursement for COVID-19 testing of uninsured individuals, vaccine administration and treatment for uninsured individuals with a COVID-19 diagnosis.

For Provider Relief Fund Data - https://data.cdc.gov/Administrative/HHS-Provider-Relief-Fund/kh8y-3es6

This dataset contains data for the Healthcare Payments Data (HPD) Snapshot visualization. The Enrollment data file contains counts of claims and encounter data collected for California's statewide HPD Program. It includes counts of enrollment records, service records from medical and pharmacy claims, and the number of individuals represented across these records. Aggregate counts are grouped by payer type (Commercial, Medi-Cal, or Medicare), product type, and year. The Medical data file contains counts of medical procedures from medical claims and encounter data in HPD. Procedures are categorized using claim line procedure codes and grouped by year, type of setting (e.g., outpatient, laboratory, ambulance), and payer type. The Pharmacy data file contains counts of drug prescriptions from pharmacy claims and encounter data in HPD. Prescriptions are categorized by name and drug class using the reported National Drug Code (NDC) and grouped by year, payer type, and whether the drug dispensed is branded or a generic.

This data set includes comparative cost and quality information for clinics with five or more physicians for medical claims in 2016. Only clinics with eligible Total Cost of Care indices and three quality measures, Breast Cancer Screening, A1c testing, and Medical Attention for Nephropathy are included.

This data set was calculated by the Utah Department of Health, Office of Healthcare Statistics (OHCS) and HealthInsight Utah using Utah’s All Payer Claims Database (APCD).

Predict earnings surprises, measure growth across procedures and infusion therapeutics, and track macro utilization trends derived from domestic medical claims. Leo medical claims data is sourced from the largest US healthcare claims clearinghouse.

Analyze complete patient journeys across both medical and pharmacy claims and accurately track metrics like patient persistence, therapy switches, and concomitant therapies. Medical claims data is sourced from a large health service company with visibility into unblinded provider identities and strong longitudinal integrity allowing for accurate patient journey analytics.

These data are quality measures for each Utah small area calculated by the Utah Department of Health, Office of Healthcare Statistics (OHCS) using Utah’s All Payer Claims Database (APCD).

The Consumer Complaint Database is a collection of complaints about consumer financial products and services that we sent to companies for response. Complaints are published after the company responds, confirming a commercial relationship with the consumer, or after 15 days, whichever comes first. Complaints referred to other regulators, such as complaints about depository institutions with less than $10 billion in assets, are not published in the Consumer Complaint Database. The database generally updates daily.

United States Health Insurance: Claims Per Member Per Month: Medicare data was reported at 1,111.000 USD in 2023. This records an increase from the previous number of 1,012.000 USD for 2022. United States Health Insurance: Claims Per Member Per Month: Medicare data is updated yearly, averaging 791.000 USD from Dec 2007 (Median) to 2023, with 17 observations. The data reached an all-time high of 1,111.000 USD in 2023 and a record low of 746.230 USD in 2007. United States Health Insurance: Claims Per Member Per Month: 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.RG022: Health Insurance: Operations by Lines of Business.

Oregon workers' compensation claims counts. Where available, the data is provided since 1968, the year Oregon's modern workers' compensation system began. The data is presented in the Department of Consumer and Business Services report at https://www.oregon.gov/dcbs/reports/compensation/Pages/index.aspx. The attached pdf provides definitions of the data.

The Analysis of Longitudinal Claims Databases (R1 Part B): Effect of Variation in Health Coverage, Employment, and Community Resources on Adverse Events and Healthcare Costs and Utilization, United States is the second of a three-part project that examined claims data from Medicare, Medicaid, and/or Optum databases to explore aging trajectories, use of preventative services, and healthcare outcomes for individuals with several types of physical disabilities. This study made use of existing national databases to examine various health outcomes among individuals with disability. Using 2007-2016 Medicaid and Medicare Data, the researchers conducted three separate types of analyses: At the state level, examine the effect of variation in health coverage and related health policies on adverse health events and health outcomes among youth and adults with disability. At the county level, examine the variation in employment and community participatory living on adverse health and health outcomes among youth and adult with disability. At the state level, examine the effect of variation in Medicaid long-term care and community centers on health outcomes among youth and adult with disability.

1) Data Introduction • The Insurance Claim Dataset is a tabular dataset collected to predict whether an insurance claim will be made (yes/no) based on information such as the policyholder’s age, gender, BMI, average daily steps, number of children, smoking status, residential region, and medical charges billed by health insurance.

2) Data Utilization (1) Characteristics of the Insurance Claim Dataset: • The dataset integrates various factors such as health status, lifestyle habits, and demographic characteristics, making it suitable for practical use in insurance risk prediction and customer segmentation.

(2) Applications of the Insurance Claim Dataset: • Development of Insurance Claim Prediction Models: The dataset can be used to develop machine learning models that classify whether an insurance claim will be filed based on multiple input features. • Insurance Product Development and Risk Assessment: By analyzing the probability of claims for different customer profiles, the dataset can be used for product design, risk management, and premium pricing in practical policy planning.

Listing of the claims against the City of Phoenix filed in each fiscal year. Data for the current fiscal year is updated quarterly. For information on claim payments issued by the City of Phoenix, see Note 13 of the City’s Annual Comprehensive Financial Report (ACFR) at https://www.phoenix.gov/finance/annualreports

This data package contains claims-based data about beneficiaries of Medicare program services including Inpatient, Outpatient, related to Chronic Conditions, Skilled Nursing Facility, Home Health Agency, Hospice, Carrier, Durable Medical Equipment (DME) and data related to Prescription Drug Events. It is necessary to mention that the values are estimated and counted, by using a random sample of fee-for-service Medicare claims.

Track specialty drug utilization, analyze patient journeys, and predict earnings surprises based on domestic pharmacy claims capturing ~ 90 million patients. Pharmacy claims data is sourced from a large health services company with visibility into commonly blocked specialty pharmacy drugs and strong longitudinal integrity allowing for accurate patient journey analytics.

This service provides web services used to obtain claims-related data for patients. Users of this service are intended to be healthcare providers.

Archived as of 6/26/2025: The datasets will no longer receive updates but the historical data will continue to be available for download. This dataset provides information related to access and transportation related claims. It contains information about the total number of patients, total number of claims, and total dollar amount, grouped by provider. Restricted to claims with service date between 01/2012 to 12/2017. Transportation claims identified as billing provider type 26 and related category of service type. This data is for research purposes and is not intended to be used for reporting. Due to differences in geographic aggregation, time period considerations, and units of analysis, these numbers may differ from those reported by FSSA.