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
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Healthcare Data Solutions For A New Generation FAIR Health
Data 59 People Used
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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.
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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.
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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; …
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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.
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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
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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
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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
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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.
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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 …
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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.
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Related Topics
- › Official Data Source Fair Health
- › Welcome To Fair Health Fair Health
- › Fair Healthdata Dkan Data Catalog
- › The Fair Health Data Challenge Sitra
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?