Fair Health Data Methodology

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How to Describe FAIR Health and the FH Benchmarks Data Prod…

(1 days ago) People also askWhat is fair health data?FAIR Health data offer a window into each state. Our customized data analyses and visualizations provide a picture of the health conditions and healthcare procedures you may want to examine, whether on the level of a state, a location within a state, a multistate region or the nation.Data Repository FAIR Healthfairhealth.orgWho can use fair health data?FAIR Health licenses its privately billed data and data products—including benchmark modules, data visualizations, custom analytics and market indices—to commercial insurers and self-insurers, employers, providers, hospitals and healthcare systems, government agencies, researchers and others.Welcome to FAIR Health FAIR Healthfairhealthconsumer.orgWhat is fair health?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.Data Repository FAIR Healthfairhealth.orgWhat is methodological data fairness?We highlight the forms that methodological data fairness can take at different stages of the research process and identify practical steps through which researchers can ensure that their practices and outcomes are scientifically sound as well as fair to society at large.From FAIR data to fair data use: Methodological data fairness in health journals.sagepub.comFeedbackFAIR Healthhttps://www.fairhealth.org/methodologiesData Methodologies FAIR HealthWEBThe derived methodology enables the creation of benchmarks for codes for which there are very few or no data. FAIR Health is converting our FH Charge Benchmarks product line, which previously offered two lines of modules, one based on the actual …

https://cdn.ymaws.com/rehabpro.org/resource/resmgr/files/lcp/How_to_Describe_FAIR_Health_.pdf#:~:text=Data%20Methodology%20When%20the%20number%20of%20occurrences%20of,highest%2C%20and%20benchmark%20values%20are%20assigned%20to%20percentiles.

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FAIR Health Informatics: A Health Informatics Framework …

(4 days ago) WEBFAIR Health Informatics: A Health Informatics Framework for Verifiable and Explainable Data Analysis. To do so, the framework supports techniques and methods to keep track of data lineage at the meta level, and then the framework is designed in such a way that, if needed, one can reproduce the expected result from the same data using …

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10298118/

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FH Product Sheet - Benchmarks + Methodology - Amazon …

(3 days ago) WEBTo create the FH Benchmarks, we organize the claims data we receive by procedure code and geographic area. We group our data into 493 geozips—geographic areas typically based on the first three digits of a zip code or group of zip codes. FAIR Health employs a statistical outlier methodology to exclude any extremely low and extremely high

https://s3.amazonaws.com/media2.fairhealth.org/resource/asset/FH%20Product%20Sheet%20-%20Benchmarks%20%2B%20Methodology.pdf

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Privacy-preserving federated machine learning on FAIR …

(4 days ago) WEBThe proposed methodology capitalizes on these FAIR datasets, showcasing the significant promise of FAIR health data for machine learning, particularly in a federated execution while ensuring privacy preservation with no data sharing. The proposed methodology centers on FAIR datasets using the HL7 FHIR standard, a well …

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10904920/

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Enabling FAIR Health Data Sharing: A Methodology for …

(6 days ago) WEBDue to the nature of health data, its sharing and reuse for research are limited by ethical, legal and technical barriers. The FAIR4Health project facilitated and promoted the application of FAIR

https://www.researchgate.net/publication/373746501_Enabling_FAIR_Health_Data_Sharing_A_Methodology_for_Transforming_Existing_Data_into_HL7_FHIR_Repositories

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From FAIR data to fair data use: Methodological data …

(8 days ago) WEBFollowing years of debate on the values and practices underpinning data sharing and re-use, the FAIR principles have emerged as plausible guides towards the handling of data for research purposes (Mons et al., 2017; Wilkinson et al., 2016).Accordingly, data should be organised and managed to be easily Findable; …

https://journals.sagepub.com/doi/10.1177/20539517211010310

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From Raw Data to FAIR Data: The FAIRification Workflow …

(1 days ago) WEBGO FAIR - a bottom-up, stakeholder driven and self-governed initiative - defined a seven-step FAIRification process focusing on data, but also indicating the required work for metadata. This FAIRification process aims at addressing the translation of raw datasets into FAIR datasets in a general way, without considering specific requirements and

https://pubmed.ncbi.nlm.nih.gov/32620019/

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FAIR in action - a flexible framework to guide …

(Just Now) WEBThe COVID-19 pandemic has highlighted the need for FAIR (Findable, Accessible, Interoperable, and Reusable) data more than any other scientific challenge to date. We developed a flexible, multi

https://www.nature.com/articles/s41597-023-02167-2

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How to Describe FAIR Health and the FH Benchmarks Data …

(3 days ago) WEBqualify for inclusion in the FAIR Health database, claims must include the actual charges billed by providers before any reductions are made. FAIR Health employs a rigorous data validation program to ensure the integrity of the data that support its products. Benchmark Products FAIR Health uses the database to develop its FH Benchmarks products.

https://cdn.ymaws.com/rehabpro.org/resource/resmgr/files/lcp/How_to_Describe_FAIR_Health_.pdf

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From Planning Stage Towards FAIR Data: A Practical - Nature

(Just Now) WEBDatasets consist of measurement data and metadata. Metadata provides context, essential for understanding and (re-)using data. Various metadata standards exist for different methods, systems and

https://www.nature.com/articles/s41597-024-03349-2

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A Data Transformation Methodology to Create Findable, …

(4 days ago) WEBBackground: Sharing health data is challenging because of several technical, ethical, and regulatory issues. The Findable, Accessible, Interoperable, and Reusable (FAIR) guiding principles have been conceptualized to enable data interoperability. Many studies provide implementation guidelines, assessment metrics, and software to achieve FAIR …

https://www.jmir.org/2023/1/e42822

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A Data Transformation Methodology to Create Findable, …

(4 days ago) WEBObjective. Our goal was to devise a new methodology to extract, transform, and load existing health data sets into HL7 FHIR repositories in line with FAIR principles, develop a Data Curation Tool to implement the methodology, and evaluate it on health data sets from 2 different but complementary institutions.

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10034606/

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Enabling FAIR Health Data Sharing: A Methodology for …

(9 days ago) WEBadditional FHIR resources, ensuring full FAIR compliance upon data integration into the FHIR platform. We have subjected our methodology to rigorous scrutiny using authentic datasets from two distinct healthcare bodies, emphasizing data utility and adherence to FAIR metrics. 3. Methods 3.1 Collaborative Approach and Design Process

https://ijrpr.com/uploads/V4ISSUE8/IJRPR16401.pdf

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Factor analysis of information risk - Wikipedia

(5 days ago) WEBFactor analysis of information risk. Factor analysis of information risk ( FAIR) is a taxonomy of the factors that contribute to risk and how they affect each other. It is primarily concerned with establishing accurate probabilities for the frequency and magnitude of data loss events. It is not a methodology for performing an enterprise (or

https://en.wikipedia.org/wiki/Factor_analysis_of_information_risk

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Data Support FAIR Health

(9 days ago) WEBContribution support. FAIR Health staff work closely with participants in our data contribution program to streamline initial setup and the ongoing data submission process, as well as to assure secure file transfers. Surveys are sent on a randomized basis to clients who have had a recent service interaction. Consistently, over 90 percent of

https://www.fairhealth.org/data-support

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Using Publicly-Available Health Care Databases to Value & Price …

(7 days ago) WEBData from approximately one billion de-identified medical bills are obtained every six months from a variety of sources, primarily from companies that provide electronic billing and claims processing services to health care providers. C4H’s source of data represents an important departure from the FAIR Health methodology, which relies on

https://avalonecon.com/using-publicly-available-health-care-databases-to-value-price-medical-care-services/

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A multi-step analysis and co-produced principles to support …

(4 days ago) WEBRoles Conceptualization, Data curation, Formal analysis, Methodology, Validation, Writing – original draft, Writing – review & editing ¶ ‡ RK and RS are joint first authors on this work. ST and LO are joint last authors on this work. Affiliation Department of Research and Strategic Information, LVCT Health, Nairobi, Kenya

https://journals.plos.org/globalpublichealth/article?id=10.1371/journal.pgph.0002091

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The FAIR Assessment Conundrum: Reflections on Tools and …

(Just Now) WEB4.1 Assessment tools. Table 1 enumerates the 20 FAIR Assessment tools analysed by reporting their name, URL, and the year the tool was initially proposed.. The tools were analysed through the following characteristics: (i) the target, i.e. the digital object the tool focuses on (e.g., dataset, software); (ii) the methodology, i.e. whether the …

https://datascience.codata.org/articles/10.5334/dsj-2024-033

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Quality improvement methods in clinical medicine - PubMed

(Just Now) WEBThis article surveys the methods and tools of quality improvement used today in health care. Specifically, we describe how clinicians can use these methods to impact the clinical practice of medicine. Improvement teams from a variety of health care organizations have reported the successful use of basic methods such as group work, flowcharting

https://pubmed.ncbi.nlm.nih.gov/9917464/

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Journal of Medical Internet Research - Redefining Health Care …

(4 days ago) WEBBackground: Efficient data exchange and health care interoperability are impeded by medical records often being in nonstandardized or unstructured natural language format. Advanced language models, such as large language models (LLMs), may help overcome current challenges in information exchange. Objective: This study aims …

https://www.jmir.org/2024/1/e56614

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Use of Patient-Generated Health Data From Consumer-Grade …

(4 days ago) WEBBackground: Mobile health (mHealth) uses mobile technologies to promote wellness and help disease management. Although mHealth solutions used in the clinical setting have typically been medical-grade devices, passive and active sensing capabilities of consumer-grade devices like smartphones and activity trackers have the potential to …

https://www.jmir.org/2024/1/e49320

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Atlanta, Georgia Life Expectancy Methodology and Data Table

(7 days ago) WEBMethodology and Data Table Center on Society and Health The Center on Society and Health is an academic research center that studies the connections between social factors and health. School of Medicine ABOUT THE CENTER FOR MORE INFORMATION 804-628-2462 societyhealth.vcu.edu [email protected] Population data were …

https://societyhealth.vcu.edu/media/society-health/pdf/CSH-AtlantaMethods.pdf

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Estimating Transgender and Gender-Diverse Youth Populations in …

(1 days ago) WEBOBJECTIVES:. To identify and examine demographic variation in estimates of gender-diverse youth (GDY) populations from the PEDSnet learning health system network and the Youth Risk Behavior Survey (YRBS).METHODS:. The PEDSnet sample included 14- to 17-years-old patients who had ≥2 encounters at a member institution …

https://publications.aap.org/pediatrics/article/doi/10.1542/peds.2023-065197/197286/Estimating-Transgender-and-Gender-Diverse-Youth

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Data Validation Process FAIR Health

(7 days ago) WEBOur data validation process includes tactical, methodological and business-based verification of the following: Remediation of identified issues in future data submissions in consultation with contributors. FAIR Health staff experts work with contributors to understand their data so we can map the data to our data warehouse and facilitate the

https://www.fairhealth.org/validation

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The Women Physicians' Health Study: background, objectives, and …

(Just Now) WEBPhysicians, Women*. Surveys and Questionnaires. United States. A methodologically compelling reason to collect health-related data on physicians is that it is relatively reliable, easy, and cost effective data to collect. Physicians are capable of answering comparatively complex medical and nonmedical questions in a survey format, and most of

https://pubmed.ncbi.nlm.nih.gov/7722210/

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IMO Health talks clinical trial reliability at ASCO 2024

(7 days ago) WEBAt ASCO 2024, IMO Health researchers will present a poster demonstrating how large language models (LLMs) can help remedy this problem, examining the consistency of oncology trial reporting and facilitating clinical decision-making. ASCO, or the American Society of Clinical Oncology, holds a conference every year where oncology …

https://www.imohealth.com/ideas/article/imo-health-talks-clinical-trial-reliability-at-asco-2024/

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A systematic review and meta-analysis of the association between …

(2 days ago) WEBThe rapid increase in e-cigarette use over the past decade has triggered an important public health question on the potential association between e-cigarette use and combustible cigarette smoking. Following AMSTAR 2 and PRISMA guidelines, this evidence synthesis sought to identify and characterize any associations between e-cigarette use …

https://harmreductionjournal.biomedcentral.com/articles/10.1186/s12954-024-01013-x

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Atlanta Public Schools District & Regional Science and …

(4 days ago) WEBScience and Engineering Fair 2018 – 2019 . Scientific research is an exciting way to explore the surrounding world as well as solve real world problems. Scientific and engineering methods are necessary to adequately investigate these real world problems. The Atlanta Public Schools District & Regional Science and Engineering Fair will provide

https://www.atlantapublicschools.us/cms/lib/GA01000924/Centricity/Domain/14075/Science%20Fair%20Handbook%20for%20Parents.pdf

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6830 Victory Run, Alpharetta, GA 30005 Zillow

(7 days ago) WEBFind an amazing local agent to set up tours, give advice and negotiate with sellers. Zillow has 44 photos of this $900,000 4 beds, 4 baths, 2,888 Square Feet townhouse home located at 6830 Victory Run, Alpharetta, GA 30005 built in 2022.

https://www.zillow.com/homedetails/6830-Victory-Run-Alpharetta-GA-30005/351022933_zpid/

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How We Rank the Best Places to Live & Retire - U.S. News Real …

(8 days ago) WEBDesirability Index – 13%. Job Market Index – 8%. The Happiness Index represents how content residents are with important aspects of their daily lives. The index is based on the following: Using data from the , the Health Care Quality Index measures the availability of top-quality health care in each metro area.

https://realestate.usnews.com/places/methodology

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