The Role of Markup for Enabling Interoperability in Health Informatics
Interoperability is the faculty of making information systems work together. In this paper we will distinguish a number of different forms that interoperability can take and show how they are realised on a variety of physiological and health care use cases. The last fifteen years has seen the rise...
Ausführliche Beschreibung
Autor*in: |
Steve eMckeever [verfasserIn] David eJohnson [verfasserIn] |
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E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2015 |
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Übergeordnetes Werk: |
In: Frontiers in Physiology - Frontiers Media S.A., 2011, 6(2015) |
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Übergeordnetes Werk: |
volume:6 ; year:2015 |
Links: |
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DOI / URN: |
10.3389/fphys.2015.00152 |
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DOAJ006411339 |
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10.3389/fphys.2015.00152 doi (DE-627)DOAJ006411339 (DE-599)DOAJe646c2ceab954660a3b2673e45d9ef96 DE-627 ger DE-627 rakwb eng QP1-981 Steve eMckeever verfasserin aut The Role of Markup for Enabling Interoperability in Health Informatics 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Interoperability is the faculty of making information systems work together. In this paper we will distinguish a number of different forms that interoperability can take and show how they are realised on a variety of physiological and health care use cases. The last fifteen years has seen the rise of very cheap digital storage both on and off cite. With the advent of the 'Internet of Things' people's expectations are for greater interconnectivity and seamless interoperability. The potential impact these technologies have on healthcare are dramatic: from improved diagnoses through immediate access to a patient's electronic health record, to 'in silico' modeling of organs and early stage drug trials, to predictive medicine based on top-down modeling of disease progression and treatment. We will begin by looking at the underlying technology, classify the various kinds of interoperability that exist in the field, and discuss how they are realised. We conclude with a discussion on future possibilities that big data and further standardizations will enable. interoperability physiological modeling XML Patient data Execution environments Physiology Steve eMckeever verfasserin aut David eJohnson verfasserin aut David eJohnson verfasserin aut In Frontiers in Physiology Frontiers Media S.A., 2011 6(2015) (DE-627)631498788 (DE-600)2564217-0 1664042X nnns volume:6 year:2015 https://doi.org/10.3389/fphys.2015.00152 kostenfrei https://doaj.org/article/e646c2ceab954660a3b2673e45d9ef96 kostenfrei http://journal.frontiersin.org/Journal/10.3389/fphys.2015.00152/full kostenfrei https://doaj.org/toc/1664-042X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 6 2015 |
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10.3389/fphys.2015.00152 doi (DE-627)DOAJ006411339 (DE-599)DOAJe646c2ceab954660a3b2673e45d9ef96 DE-627 ger DE-627 rakwb eng QP1-981 Steve eMckeever verfasserin aut The Role of Markup for Enabling Interoperability in Health Informatics 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Interoperability is the faculty of making information systems work together. In this paper we will distinguish a number of different forms that interoperability can take and show how they are realised on a variety of physiological and health care use cases. The last fifteen years has seen the rise of very cheap digital storage both on and off cite. With the advent of the 'Internet of Things' people's expectations are for greater interconnectivity and seamless interoperability. The potential impact these technologies have on healthcare are dramatic: from improved diagnoses through immediate access to a patient's electronic health record, to 'in silico' modeling of organs and early stage drug trials, to predictive medicine based on top-down modeling of disease progression and treatment. We will begin by looking at the underlying technology, classify the various kinds of interoperability that exist in the field, and discuss how they are realised. We conclude with a discussion on future possibilities that big data and further standardizations will enable. interoperability physiological modeling XML Patient data Execution environments Physiology Steve eMckeever verfasserin aut David eJohnson verfasserin aut David eJohnson verfasserin aut In Frontiers in Physiology Frontiers Media S.A., 2011 6(2015) (DE-627)631498788 (DE-600)2564217-0 1664042X nnns volume:6 year:2015 https://doi.org/10.3389/fphys.2015.00152 kostenfrei https://doaj.org/article/e646c2ceab954660a3b2673e45d9ef96 kostenfrei http://journal.frontiersin.org/Journal/10.3389/fphys.2015.00152/full kostenfrei https://doaj.org/toc/1664-042X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 6 2015 |
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10.3389/fphys.2015.00152 doi (DE-627)DOAJ006411339 (DE-599)DOAJe646c2ceab954660a3b2673e45d9ef96 DE-627 ger DE-627 rakwb eng QP1-981 Steve eMckeever verfasserin aut The Role of Markup for Enabling Interoperability in Health Informatics 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Interoperability is the faculty of making information systems work together. In this paper we will distinguish a number of different forms that interoperability can take and show how they are realised on a variety of physiological and health care use cases. The last fifteen years has seen the rise of very cheap digital storage both on and off cite. With the advent of the 'Internet of Things' people's expectations are for greater interconnectivity and seamless interoperability. The potential impact these technologies have on healthcare are dramatic: from improved diagnoses through immediate access to a patient's electronic health record, to 'in silico' modeling of organs and early stage drug trials, to predictive medicine based on top-down modeling of disease progression and treatment. We will begin by looking at the underlying technology, classify the various kinds of interoperability that exist in the field, and discuss how they are realised. We conclude with a discussion on future possibilities that big data and further standardizations will enable. interoperability physiological modeling XML Patient data Execution environments Physiology Steve eMckeever verfasserin aut David eJohnson verfasserin aut David eJohnson verfasserin aut In Frontiers in Physiology Frontiers Media S.A., 2011 6(2015) (DE-627)631498788 (DE-600)2564217-0 1664042X nnns volume:6 year:2015 https://doi.org/10.3389/fphys.2015.00152 kostenfrei https://doaj.org/article/e646c2ceab954660a3b2673e45d9ef96 kostenfrei http://journal.frontiersin.org/Journal/10.3389/fphys.2015.00152/full kostenfrei https://doaj.org/toc/1664-042X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 6 2015 |
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10.3389/fphys.2015.00152 doi (DE-627)DOAJ006411339 (DE-599)DOAJe646c2ceab954660a3b2673e45d9ef96 DE-627 ger DE-627 rakwb eng QP1-981 Steve eMckeever verfasserin aut The Role of Markup for Enabling Interoperability in Health Informatics 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Interoperability is the faculty of making information systems work together. In this paper we will distinguish a number of different forms that interoperability can take and show how they are realised on a variety of physiological and health care use cases. The last fifteen years has seen the rise of very cheap digital storage both on and off cite. With the advent of the 'Internet of Things' people's expectations are for greater interconnectivity and seamless interoperability. The potential impact these technologies have on healthcare are dramatic: from improved diagnoses through immediate access to a patient's electronic health record, to 'in silico' modeling of organs and early stage drug trials, to predictive medicine based on top-down modeling of disease progression and treatment. We will begin by looking at the underlying technology, classify the various kinds of interoperability that exist in the field, and discuss how they are realised. We conclude with a discussion on future possibilities that big data and further standardizations will enable. interoperability physiological modeling XML Patient data Execution environments Physiology Steve eMckeever verfasserin aut David eJohnson verfasserin aut David eJohnson verfasserin aut In Frontiers in Physiology Frontiers Media S.A., 2011 6(2015) (DE-627)631498788 (DE-600)2564217-0 1664042X nnns volume:6 year:2015 https://doi.org/10.3389/fphys.2015.00152 kostenfrei https://doaj.org/article/e646c2ceab954660a3b2673e45d9ef96 kostenfrei http://journal.frontiersin.org/Journal/10.3389/fphys.2015.00152/full kostenfrei https://doaj.org/toc/1664-042X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 6 2015 |
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Interoperability is the faculty of making information systems work together. In this paper we will distinguish a number of different forms that interoperability can take and show how they are realised on a variety of physiological and health care use cases. The last fifteen years has seen the rise of very cheap digital storage both on and off cite. With the advent of the 'Internet of Things' people's expectations are for greater interconnectivity and seamless interoperability. The potential impact these technologies have on healthcare are dramatic: from improved diagnoses through immediate access to a patient's electronic health record, to 'in silico' modeling of organs and early stage drug trials, to predictive medicine based on top-down modeling of disease progression and treatment. We will begin by looking at the underlying technology, classify the various kinds of interoperability that exist in the field, and discuss how they are realised. We conclude with a discussion on future possibilities that big data and further standardizations will enable. |
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Interoperability is the faculty of making information systems work together. In this paper we will distinguish a number of different forms that interoperability can take and show how they are realised on a variety of physiological and health care use cases. The last fifteen years has seen the rise of very cheap digital storage both on and off cite. With the advent of the 'Internet of Things' people's expectations are for greater interconnectivity and seamless interoperability. The potential impact these technologies have on healthcare are dramatic: from improved diagnoses through immediate access to a patient's electronic health record, to 'in silico' modeling of organs and early stage drug trials, to predictive medicine based on top-down modeling of disease progression and treatment. We will begin by looking at the underlying technology, classify the various kinds of interoperability that exist in the field, and discuss how they are realised. We conclude with a discussion on future possibilities that big data and further standardizations will enable. |
abstract_unstemmed |
Interoperability is the faculty of making information systems work together. In this paper we will distinguish a number of different forms that interoperability can take and show how they are realised on a variety of physiological and health care use cases. The last fifteen years has seen the rise of very cheap digital storage both on and off cite. With the advent of the 'Internet of Things' people's expectations are for greater interconnectivity and seamless interoperability. The potential impact these technologies have on healthcare are dramatic: from improved diagnoses through immediate access to a patient's electronic health record, to 'in silico' modeling of organs and early stage drug trials, to predictive medicine based on top-down modeling of disease progression and treatment. We will begin by looking at the underlying technology, classify the various kinds of interoperability that exist in the field, and discuss how they are realised. We conclude with a discussion on future possibilities that big data and further standardizations will enable. |
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The Role of Markup for Enabling Interoperability in Health Informatics |
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|
score |
7.402487 |