Fair Health Data

Data Repository FAIR Health

Data 28 People Used

The Standard for Reliable, Secure Data. FAIR Health’s data products and analytics—built on a data collection representing the claims experience of the privately insured population and those covered by Medicare—are used with confidence by consumers and organizations throughout the healthcare sector. Our data analysts and statisticians put

Preview /  Show details

Healthcare Data Solutions For A New Generation FAIR Health

Data 59 People Used

The average allowed (in-network) amount for advanced-life-support (ALS) emergency ground ambulance transport (not including mileage fees) rose 56 percent over three years, from $486 in 2017 to $758 in 2020. These are among the findings in FAIR Health’s new white paper, Ground Ambulance Services in the United States: A Study of Private

Preview /  Show details

Benchmark Data Products FAIR Health

Benchmark 36 People Used

FH ®. FH® Charge Benchmarks Presenting up-to-date, actionable data based on recent claims from 493 distinct geographic regions nationwide, our charge benchmark offerings include medical/surgical, dental, anesthesia, HCPCS, inpatient facility, outpatient facility, ambulatory surgery center (ASC) and Category III modules.

Preview /  Show details

Compare Private Health Insurance Funds Fair Health …

Health 55 People Used

Fair Health Care Pty Ltd (ABN 86 622 966 303) give health insurance advice in partnership with the ItsMy Group Pty Ltd (ABN 85 167 289 965), and their co-operative of for-profit and not-for-profit health funds. All advice is provided within strict adherence to the Private Health Insurance Intermediaries Code of Conduct.

Preview /  Show details

The Winners Of The Fair Health Data Challenge Sitra

The 52 People Used

In spring 2021, we launched The Fair Health Data Challenge to find practical examples of digital health and well-being services where data is used transparently and with people’s consent.. The criteria on which the entries were assessed were the management of one’s own personal data; user-friendliness and data accessibility; a model of data sharing; …

Preview /  Show details

GitHub Stuchalk/fairhealthdata: Personal Health Data For Stuart …

GitHub 68 People Used

Personal health data for Stuart J. Chalk. Contribute to stuchalk/fair-health-data development by creating an account on GitHub.

Preview /  Show details

FAIR Data Principles Ministry Of Health NZ

FAIR 43 People Used

The FAIR data principles for health data analytics. The FAIR data principles are guiding principles to promote the use and reuse of analytical data sets to improve systems and processes, fuel research and generate knowledge. FAIR data sets are findable, accessible, interoperable and reusable. Findable – Data sets should be easy to find for

Preview /  Show details

DataFair Creating Value With Health Data Through A Fair Exchange

DataFair 65 People Used

DataFair is a health data analytics company, based in central Copenhagen. We offer state of the art epidemiological, and health economic analyses based on our unique access to data with relevance for health. At DataFair we first and foremost believe in protecting the privacy regarding our health data and sharing it, in a secure and GDPR

Preview /  Show details

Fair Health Sector Data Ecosystems – A Major Asset For Finland’s …

Fair 72 People Used

Published. March 10, 2022. The Finnish health sector should create fair health data ecosystems and move from value chains towards true value networks and open data sharing ecosystems where value is shared more evenly between different actors. In data ecosystems, network members understand the value that data creates together, share it within

Preview /  Show details

National Private Insurance Claims Database FAIR Health

National 55 People Used

The FH NPIC (National Private Insurance Claims) database—our industry-leading collection of privately billed medical and dental procedures—is based on data contributions from payors nationwide. FAIR Health collects all data fields reported on medical and dental claims, including diagnoses, procedures, dates and places of service.

Preview /  Show details

Data Contribution Program FAIR Health

Data 38 People Used

As a FAIR Health data contributor, your organization’s experience is represented in a database increasingly used by government agencies as an official data source for numerous health policy and consumer protection initiatives in addition to many other uses within the industry. Valued data contributors will benefit by participation that demonstrates the goodwill of using data to help …

Preview /  Show details

The Fair Health Data Challenge The Digital Health Society

The 58 People Used

With The Fair Health Data Challenge, we are looking for examples from all over Europe to show the way to adopting shared rules for a fair data economy. The aim is to identify existing or soon-to-be-published health and well-being solutions that are based on data sharing and fair principles. Human-centricity is seen as an advantage in the solution.

Preview /  Show details

Related Topics

Frequently Asked Questions

What kind of data does fair health collect?

FAIR Health collects all data fields reported on medical and dental claims, including diagnoses, procedures, dates and places of service, NDC codes, billed charges, allowed amounts reimbursed and other information. FAIR Health licenses de-identified data where appropriate for academic, policy and commercial research.

Is fair health's cost information reliable?

A testament to the fairness and reliability of our data, New York, Connecticut, and many other states have adopted FAIR Health\'s cost information as the guidepost in laws protecting consumers, and for many other purposes.

What is fair4health?

FAIR4Health is involved in the organisation of the RDA WG on Raising FAIRness in health data and health research performing organisations The Final Assembly of the European FAIR4Health project, involving 16 partners from 10 different countries, is held.

Who contributes to FAIR Health’s program?

However, more than 60 companies representing over 150 million individuals covered by private health insurance contribute data to FAIR Health’s program, ensuring that healthcare professionals have access to robust data across the United States. What methodologies are used to organize the data?

Popular Searched