Dataset

This dataset was created by Bunty Shah

Contents

The data set contains the insurance company wise number of Life insurance claims settled. The information is as per the respective public disclosures of the insurance companies made on IRDAI portal.

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.

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 dataset is eligible in exploring Health Insurance fraud Claims using machine learning algorithms. Its well suited for students developimg ML models to predict Healthcare insurance claims fraud.

Demographic and economic factors are the driving forces behind the rising number of medical claims submitted annually. The population's expanding medical needs are increasing the cost and complexity of claims while rising incomes and broader insurance coverage facilitate more visits to healthcare providers. Medical claims processing companies had to adapt quickly to the changes brought on by the pandemic. Swift regulatory changes created challenges for claims processing. Yet, other pandemic effects, like labor shortages, have benefited companies as healthcare providers outsource to alleviate burdens on their workforce. However, recession concerns and inflation pressures will restrict healthcare expenditure growth in 2024, limiting the volume of claims. In all, industry-wide revenue has been growing at a CAGR of 3.0% to $5.4 billion over the past five years, including an expected jump of 1.0% in 2024 alone. Consolidation characterizing the health sector is challenging medical claims processing companies in an already competitive industry. Health systems are becoming larger to gain negotiating power and economies of scale. But, larger health systems can keep the claims process in-house, reducing the reliance on medical claims processing services. As consolidation continues, small medical claims processors will likely struggle to acquire new customers. Other companies will look to integrate artificial intelligence and digital tools to offer clients data protection, improved accuracy and speed. Demographic trends will continue to be the driving force behind the growing volume of medical claims moving forward. But threats will introduce risks to medical claims processors. Rising costs could push some healthcare providers to turn to offshore medical claims processing, where lower labor costs reduce the price. At the same time, an increasingly digital process will expose companies to more risks from data breaches and cyberattacks than ever before. How well claims processing companies navigate these risks will influence profit. Still, rising healthcare expenditure will translate into more medical claims, leading revenue to expand at a CAGR of 3.7% to an estimated $6.4 billion over the five years to 2029.

Graph and download economic data for Initial Claims (ICSA) from 1967-01-07 to 2025-07-26 about initial claims, headline figure, and USA.

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.

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.

Data provided by insurers, on the premiums written and claims incurred for the 2013 fiscal year. Based on reporting on the consolidated pages of the P&C-1 or Life-1 Annual returns. This data is also reported in the Superintendent of Insurance’s Annual Report.

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]

Healthcare Claims Management Market Size Was To Reach USD 13.1 Billion In 2022 And Projected To Reach a Revised Size Of USD 21.1 Billion

Congress passed the National Flood Insurance Act (NFIA), 42 U.S.C. 4001 in 1968, creating the National Flood Insurance Program (NFIP) in order to reduce future flood losses through flood hazard identification, manage floodplain, and provide insurance protection. The Department of Housing and Urban Development (HUD) originally administered the NFIP, and Congress subsequently transferred the NFIP to FEMA upon its creation in 1979. FEMA and insurance companies participating in FEMA's Write Your Own (WYO) program offer NFIP insurance coverage for building structures as well as for contents and personal property within the building structures, to eligible and insurable properties. The WYO program began in 1983 with NFIP operating under Part B of the NFIA and allows FEMA to authorize private insurance companies to issue the Standard Flood Insurance Policy (SFIP) as FEMA's fiduciary and fiscal agent. FEMA administers NFIP by ensuring insurance applications are processed properly; determining correct premiums; renewing, reforming, and cancelling insurance policies; transferring policies from the seller of the property to the purchaser of the property in certain circumstances; and processing insurance claims. rnrnThe paid premiums of SFIPs and claims payments for damaged property are processed through the National Flood Insurance Fund (NFIF). NFIF was established by the National Flood Insurance Act of 1968 (42 U.S.C. 4001, et seq.), and is a centralized premium revenue and fee-generated fund that supports NFIP, which holds these U.S. Treasury funds. rnrnThis dataset is derived from the NFIP system of record, staged in the NFIP reporting platform and redacted to protect policy holder personally identifiable information.rnrnThe NFIP Transactional Record Reporting Process (TRRP) Plan (https://nfipservices.floodsmart.gov/manuals/jan_2015_consolidated_trrp.pdf ) defines for the WYO companies how to report policy and claims information to the NFIP. The Flood Insurance Manual (https://nfipservices.floodsmart.gov/home/manuals ) establishes how claims should be adjusted. The NFIP has provided answers to Frequently Asked Questions (FAQs) to assist the public in understanding and navigating the data our program makes available: https://www.fema.gov/sites/default/files/documents/fema_nfip-data-faqs.pdfrnrnThis dataset represents more than 2,000,000 claims transactions, in order to improve accessibility, we have one compressed file. Due to the file size we recommend using Access, SQL, or another programming/data management tool to visualize and manipulate the data, as Excel will not be able to process files this large without data loss. The dataset will be updated approximately monthly and will have a lag with the system of record. rn rnThis dataset is not intended to be an official federal report and should not be considered an official federal report. rn rnCitation: The Agency's preferred citation for datasets (API usage or file downloads) can be found on the OpenFEMA Terms and Conditions page, Citing Data section: https://www.fema.gov/about/openfema/terms-conditions.rnrnIf you have media inquiries about this dataset, please email the FEMA News Desk at FEMA-News-Desk@fema.dhs.gov or call (202) 646-3272. For inquiries about FEMA's data and Open Government program, please email the OpenFEMA team at OpenFEMA@fema.dhs.gov.

This dataset tracks the updates made on the dataset "Center for Medicare & Medicaid Services (CMS) , Medicare Claims data" as a repository for previous versions of the data and metadata.

Insurance claims processing software in the US has experienced significant transformative trends over the past decade, marked by a CAGR of 4.3% to reach $12.7 in 2024. The pandemic fundamentally altered focus areas within the industry - pivoting resources from auto to health and life insurance while expediting the need for integrated claims processing systems. Software developers swiftly adapted their solutions to manage escalating volumes of health-related claims and ensure seamless integration of underwriting accuracy and real-time claims data, thus bolstering decision-making efficiency and customer satisfaction. Stakeholder trust has married intricacies in insurance claims processing software with broader technological advances, particularly predictive analytics and machine learning. Predictive analytics has allowed insurers to adjust policies and premiums more precisely based on current data, magnifying interface capabilities between underwriting and claims management; consequently, revenue has expanded by 6.2% in 2024. However, achieving this advancement necessitates a delicate balance of privacy and data protection as regulatory frameworks intensify to mitigate potential biases and uphold transparency within AI-driven claims adjudications. Looking forward, significant trends are set to dictate the insurance software's developmental trajectory as it expands at a CAGR of 1.9% to $13.9 billion in 2029. Natural disasters necessitate constantly upgrading and refining claims processing algorithms to efficiently evaluate and manage disaster-related claims. An ongoing pivot towards cloud computing models anticipates more agile, scalable solutions for remote accessibility and security. The adoption of non-submitted public data to corroborate insurance claims is poised to both accelerate processing speeds and introduce additional layers of security and privacy considerations. For this industry, success will hinge on vigorously updating legacy systems, forging innovative solutions, and responding briskly to technological advancements while navigating an ever-evolving regulatory landscape. Companies must engage skilled IT professionals proficient in software and insurance terminologies to maintain a competitive edge. As the industry contends with record software developer wages and significant investment demands, operational agility, robust customer service and effective leveraging of advanced analytics will remain cornerstones for sustained profitability and market relevance in the future.

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.

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

Graph and download economic data for Initial Claims in California (CAICLAIMS) from 1986-02-08 to 2025-07-19 about initial claims, CA, and USA.

This dataset contains 773 tweets of companies from the cosmetics and electronics domain. Each Tweets has a binary label as either a green claim or not green claim and a multi-class label as either Explicit green claim, Implicit green claim or Not green claim.

Green claims are defined as "all appeals that include ecological, environmental sustainability, or nature-friendly messages that target the needs and desires of environmentally concerned stakeholders."

An explicit green claim is different than an implicit green claim in that it is specific to certain products or processes of the company making the claim while implicit claims are vague in general and avoid any kind of commitments.

In the third quarter of 2020, approximately ** percent of health insurance claims were rejected in the United States, the highest rate in the provided time interval. This statistic illustrate the national denial rate for health insurance claims in the United States from 2016 to Q3 2020.