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Statistics and research notes based on HCUP data
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Year: 1992 Publisher: [Rockville, MD] : U.S. Agency for Healthcare Research and Quality,

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Refinement of the HCUP quality indicators
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ISBN: 1587630435 Year: 2001 Publisher: Rockville, Md. Agency for Healthcare Research and Quality (US)

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Book
Refinement of the HCUP quality indicators
Authors: --- ---
Year: 2001 Publisher: [Place of publication not identified] Agency for Healthcare Research and Quality

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Book
Refinement of the HCUP quality indicators
Authors: --- ---
Year: 2001 Publisher: [Place of publication not identified] Agency for Healthcare Research and Quality

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Book
Refinement of the HCUP quality indicators
Authors: --- ---
Year: 2001 Publisher: [Place of publication not identified] Agency for Healthcare Research and Quality

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Big Data in Dental Research and Oral Healthcare
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Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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Progress in information technology has fostered a global explosion of data generation. Accumulated big data are now estimated to be 4.4 zettabytes in the digital universe; and trends predict an exponential increase in the future. Health data are gathered from professional routine care and other expanded sources including the social determinants of health, such as Internet of Things. Biomedical research has recently moved through three stages in digital healthcare: (1) data collection; (2) data sharing; and (3) data analytics. With the explosion of stored health data, dental medicine is edging into its fourth stage of digitization using new technologies including augmented and virtual reality, artificial intelligence, and blockchain. Big data collaborations involve interactions between a diverse range of stakeholders with analytical, technical and political focus. In oral healthcare, data technology has many areas of application: prognostic analysis and predictive modeling, the identification of unknown correlations of diseases, clinical decision support for novel treatment concepts, public health surveys and population-based clinical research, as well as the evaluation of healthcare systems. The objective of this Special Issue is to provide an update on the current knowledge with state-of-the-art theory and practical information on human and social perspectives that determine the uptake of technological innovations in big data science in the field of dental medicine. Moreover, it will focus on the identification of future research needs to manage the continuous increase in health data and to accomplish its clinical translation for patient-centered research and personalized dentistry. This Special Issue welcomes all types of studies and reviews considering the perspectives of different stakeholders on technological innovations for big data science in all dental disciplines. Kind regards,


Book
Big Data in Dental Research and Oral Healthcare
Author:
Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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Progress in information technology has fostered a global explosion of data generation. Accumulated big data are now estimated to be 4.4 zettabytes in the digital universe; and trends predict an exponential increase in the future. Health data are gathered from professional routine care and other expanded sources including the social determinants of health, such as Internet of Things. Biomedical research has recently moved through three stages in digital healthcare: (1) data collection; (2) data sharing; and (3) data analytics. With the explosion of stored health data, dental medicine is edging into its fourth stage of digitization using new technologies including augmented and virtual reality, artificial intelligence, and blockchain. Big data collaborations involve interactions between a diverse range of stakeholders with analytical, technical and political focus. In oral healthcare, data technology has many areas of application: prognostic analysis and predictive modeling, the identification of unknown correlations of diseases, clinical decision support for novel treatment concepts, public health surveys and population-based clinical research, as well as the evaluation of healthcare systems. The objective of this Special Issue is to provide an update on the current knowledge with state-of-the-art theory and practical information on human and social perspectives that determine the uptake of technological innovations in big data science in the field of dental medicine. Moreover, it will focus on the identification of future research needs to manage the continuous increase in health data and to accomplish its clinical translation for patient-centered research and personalized dentistry. This Special Issue welcomes all types of studies and reviews considering the perspectives of different stakeholders on technological innovations for big data science in all dental disciplines. Kind regards,


Book
Big Data in Dental Research and Oral Healthcare
Author:
Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

Progress in information technology has fostered a global explosion of data generation. Accumulated big data are now estimated to be 4.4 zettabytes in the digital universe; and trends predict an exponential increase in the future. Health data are gathered from professional routine care and other expanded sources including the social determinants of health, such as Internet of Things. Biomedical research has recently moved through three stages in digital healthcare: (1) data collection; (2) data sharing; and (3) data analytics. With the explosion of stored health data, dental medicine is edging into its fourth stage of digitization using new technologies including augmented and virtual reality, artificial intelligence, and blockchain. Big data collaborations involve interactions between a diverse range of stakeholders with analytical, technical and political focus. In oral healthcare, data technology has many areas of application: prognostic analysis and predictive modeling, the identification of unknown correlations of diseases, clinical decision support for novel treatment concepts, public health surveys and population-based clinical research, as well as the evaluation of healthcare systems. The objective of this Special Issue is to provide an update on the current knowledge with state-of-the-art theory and practical information on human and social perspectives that determine the uptake of technological innovations in big data science in the field of dental medicine. Moreover, it will focus on the identification of future research needs to manage the continuous increase in health data and to accomplish its clinical translation for patient-centered research and personalized dentistry. This Special Issue welcomes all types of studies and reviews considering the perspectives of different stakeholders on technological innovations for big data science in all dental disciplines. Kind regards,

Keywords

Medicine --- digital transformation --- rapid prototyping --- augmented and virtual reality (AR/VR) --- artificial intelligence (AI) --- machine learning (ML) --- personalized dental medicine --- tele-health --- patient-centered outcomes --- integrated care, medical–dental integration, simulation model, dental research --- oral medicine --- oral healthcare --- dentistry --- gerodontology --- elderly patient --- big data --- Big Data --- digital dentistry --- oral health --- ethical issues --- dental education --- augmented reality (AR) --- virtual reality (VR) --- artificial intelligence --- AI --- machine learning --- ML --- cone beam computed tomography (CBCT) --- intraoral scanning --- facial scanning --- healthcare cost --- medical healthcare cost --- dental healthcare cost --- zero-inflated model --- neural network --- digital transformation --- rapid prototyping --- augmented and virtual reality (AR/VR) --- artificial intelligence (AI) --- machine learning (ML) --- personalized dental medicine --- tele-health --- patient-centered outcomes --- integrated care, medical–dental integration, simulation model, dental research --- oral medicine --- oral healthcare --- dentistry --- gerodontology --- elderly patient --- big data --- Big Data --- digital dentistry --- oral health --- ethical issues --- dental education --- augmented reality (AR) --- virtual reality (VR) --- artificial intelligence --- AI --- machine learning --- ML --- cone beam computed tomography (CBCT) --- intraoral scanning --- facial scanning --- healthcare cost --- medical healthcare cost --- dental healthcare cost --- zero-inflated model --- neural network


Periodical
Health care financing review.
Authors: --- ---
ISSN: 01958631 Year: 1979 Publisher: Baltimore Department of health and human services,.

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Keywords

Finance --- Delivery of Health Care --- Financing, Government. --- Health Care Costs. --- Research Support. --- Medical care --- Medical care, Cost of --- Soins médicaux --- economics. --- Periodicals. --- Finances --- Périodiques --- Coût --- United States. --- Medical care, Cost of. --- Gezondheidszorg. --- Financiering. --- Finance. --- Research Support as Topic. --- Grants and Subsidies, Research --- Subsidies, Research --- Research Subsidies --- Research Subsidy --- Subsidy, Research --- Education --- Costs, Medical Care --- Health Costs --- Healthcare Costs --- Medical Care Costs --- Treatment Costs --- Cost, Health --- Cost, Health Care --- Cost, Healthcare --- Cost, Medical Care --- Cost, Treatment --- Costs, Health --- Costs, Health Care --- Costs, Healthcare --- Costs, Treatment --- Health Care Cost --- Health Cost --- Healthcare Cost --- Medical Care Cost --- Treatment Cost --- Health Expenditures --- Government Financing --- Federal Aid --- Financing, Public --- Grants and Subsidies, Government --- Hill-Burton Act --- Subsidies, Government --- Act, Hill-Burton --- Aid, Federal --- Aids, Federal --- Federal Aids --- Government Subsidies --- Government Subsidy --- Hill Burton Act --- Public Financing --- Subsidy, Government --- Periodicals --- Health Sciences --- Law --- Social Sciences --- Public health --- Insurance Law --- General and Others --- Public Policy & Administration --- Financing, Government --- Health Care Costs --- Research Support as Topic --- economics

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