Results 261 to 270 of about 13,694,185 (310)

Data conferencing in health care

Journal of Telemedicine and Telecare, 2005
Data conferencing is a computing technique that helps people to communicate in realtime and to share information with others simultaneously. The T. 120 standard provides a base for: (1) multipoint data sharing; (2) interoperability; (3) reliable data transfer; (4) scalability, transparency and independence; (5) platform independence; (6) application ...
Gaofeng, Liu, Edward, Lemaire
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Health Data Cooperatives – Citizen Empowerment

Methods of Information in Medicine, 2014
SummaryIntroduction: This article is part of a Focus Theme of Methods of Information in Medicine on Health Record Banking.Background: Healthcare is often ineffective and costs are steadily rising. This is in a large part due to the inaccessibility of medical and health data stored in multiple silos.
Hafen, E., Kossmann, D., Brand, A.
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Clusters in Aggregated Health Data

2008
Spatial information plays an important role in the identification of sources of outbreaks for many different health-related conditions. In the public health domain, as in many other domains, the available data is often aggregated into geographical regions, such as zip codes or municipalities.
Buchin, Kevin, Buchin, Maike, Kreveld, Marc van, Löffler, Maarten, Luo, Jun, Silveira, Rodrigo I.   +5 more
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Health Services Data: Typology of Health Care Data

2015
Basic Units of Analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 Individuals . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 Households . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 Groups/Populations . . . . . . . . . . . . . . . . . . . . . . .
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Data Curation: Improving Environmental Health Data Quality

2015
With the growing recognition of the influence of climate change on human health, scientists' attention to analyzing the relationship between meteorological factors and adverse health effects. However, the paucity of high quality integrated data is one of the great challenges, especially when scientific studies rely on data-intensive computing.
Lin, Yang, Jiao, Li, Li, Hou, Qing, Qian
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[Health data].

Medecine sciences : M/S, 2018
Healthcare is considered as one of the most promising areas where big data can be applied to foster innovation for the benefit of patients and of the whole system. Healthcare analytics have the potential to accelerate R&D, increase knowledge on diseases and risk factors, improve treatments, develop personalised medicine, help physicians with decision ...
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Measuring health polarization with self‐assessed health data

Health Economics, 2007
AbstractThis paper proposes an axiomatic foundation for new measures of polarization that can be applied to ordinal distributions such as self‐assessed health (SAH) data. This is an improvement over the existing measures of polarization that can be used only for cardinal variables.
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The European Health Data Space: Unlocking the power of health data

Developmental Medicine & Child Neurology
Plain language summary: https://onlinelibrary.wiley.com/doi/10.1111/dmcn ...
Sofie, De Broe, Nick, Marly
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Health Data

2021
Cao Xiao, Jimeng Sun
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Health Data Science

2018
In this chapter, we introduce the concept of Health Data Science and define its three domains: technology, analytics, and conceptual. In the technology domain, we drill down from computer science via health informatics to public health informatics. The analytics domain includes biostatistics, bioinformatics, epidemiology, and simulation.
Olaf Dammann, Benjamin Smart
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