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This is a talk I gave at my own organisation - National Institute for Health Innovation (NIHI) of the University of Auckland on 6 Aug 2014. Abstract as follows: In this talk I’ll first cover the topic of clinical registry – an invaluable tool for supporting clinical practice but also gaining momentum in research and quality improvement. NIHI has been very active in this space: we have delivered the prestigious and highly successful National Cardiac Registry (ANZACS-QI) together with VIEW research team and also very recently launched the Gestational Diabetes Registry with Counties Manukau DHB & Diabetes Projects Trust. A few others are in likely to come down the line. This is a huge opportunity for health data driven research and NIHI to position itself as ‘the health data steward’ in the country given our independent status and existing IT infrastructure and “good culture” of working with health data . NIHI’s ‘health informatics’ twist in delivering these projects is how we go about defining ‘information’ – using a scientifically credible and robust methodology: openEHR. This is an international (and now national too) standard to non-ambiguously define health information so that they are easy to understand and also are computable. We build software (even automatically in some cases!) using models created by this formalism. I’ll give basics of openEHR approach and then walk you through how to make sense out of all these. Hopefully you may have an idea about its ‘value proposition’ (as business people call) or Science merit as I like to call it ;)
Health research, clinical registries, electronic health records – how do they...
Health research, clinical registries, electronic health records – how do they...
Koray Atalag
This is the prezo I presented at HINZ 2014 conference. Gestational diabetes has implications for both mother and child with risk of complications during pregnancy, and type 2 diabetes later in life. This paper presents the initial lessons learned from the development of a clinical registry. The aims of the Registry are: 1) 100% successful diabetes screening within 3 months of delivery; 2) Annual type 2 diabetes screening; 3) Early warning in subsequent pregnancies. We have employed the openEHR standard which underpins our national interoperability reference architecture to represent the dataset and also to build the web-based registry system. Use of this rigorous methodology to tackle health information is expected to ensure semantic consistency of Registry data and maximise interoperability with other Sector projects. The development work has been facilitated by the ability to transform the dataset automatically into software code – ensuring clinical requirements accurately translated into technical terms. Dataset has been finalised, registry system has been developed and deployed for pilot implementation. Data entry is underway for participants after consenting. This registry is expected to increase the screening of women leading to earlier detection of diabetes. It should provide a valuable picture of the condition and is intended for extension and wider roll-out after evaluation.
A Standards-based Approach to Development of Clinical Registries - Initial Le...
A Standards-based Approach to Development of Clinical Registries - Initial Le...
Koray Atalag
International peer-reviewed academic journals call for papers, http://www.iiste.org
Contributing factors to patients overcrowding in emergency department at king...
Contributing factors to patients overcrowding in emergency department at king...
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A Standards-based Approach to Development of Clinical Registries - NZ Gestati...
A Standards-based Approach to Development of Clinical Registries - NZ Gestati...
Koray Atalag
A novel approach for supporting a clinical trial in Europe using EMR data
EMR as a highly powerful European RWD source
EMR as a highly powerful European RWD source
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To address family history collection, interpretation, and application in busy primary care practices, NCHPEG has collaborated collaborating with the March of Dimes, Genetic Alliance, Harvard Partners, and the Health Resources and Services Administration to develop and evaluate a novel family history tool that focuses on prenatal and neonatal health. The tool helps to improve health outcomes for the female patient, fetus, and family by providing clinical decision support and educational resources for risk assessment based on family history. A set of screenshots and an overview of the module can be reviewed via this downloadable ppt.
PreNatal Module, HughesRiskApps
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This is a talk I gave at my own organisation - National Institute for Health Innovation (NIHI) of the University of Auckland on 6 Aug 2014. Abstract as follows: In this talk I’ll first cover the topic of clinical registry – an invaluable tool for supporting clinical practice but also gaining momentum in research and quality improvement. NIHI has been very active in this space: we have delivered the prestigious and highly successful National Cardiac Registry (ANZACS-QI) together with VIEW research team and also very recently launched the Gestational Diabetes Registry with Counties Manukau DHB & Diabetes Projects Trust. A few others are in likely to come down the line. This is a huge opportunity for health data driven research and NIHI to position itself as ‘the health data steward’ in the country given our independent status and existing IT infrastructure and “good culture” of working with health data . NIHI’s ‘health informatics’ twist in delivering these projects is how we go about defining ‘information’ – using a scientifically credible and robust methodology: openEHR. This is an international (and now national too) standard to non-ambiguously define health information so that they are easy to understand and also are computable. We build software (even automatically in some cases!) using models created by this formalism. I’ll give basics of openEHR approach and then walk you through how to make sense out of all these. Hopefully you may have an idea about its ‘value proposition’ (as business people call) or Science merit as I like to call it ;)
Health research, clinical registries, electronic health records – how do they...
Health research, clinical registries, electronic health records – how do they...
Koray Atalag
This is the prezo I presented at HINZ 2014 conference. Gestational diabetes has implications for both mother and child with risk of complications during pregnancy, and type 2 diabetes later in life. This paper presents the initial lessons learned from the development of a clinical registry. The aims of the Registry are: 1) 100% successful diabetes screening within 3 months of delivery; 2) Annual type 2 diabetes screening; 3) Early warning in subsequent pregnancies. We have employed the openEHR standard which underpins our national interoperability reference architecture to represent the dataset and also to build the web-based registry system. Use of this rigorous methodology to tackle health information is expected to ensure semantic consistency of Registry data and maximise interoperability with other Sector projects. The development work has been facilitated by the ability to transform the dataset automatically into software code – ensuring clinical requirements accurately translated into technical terms. Dataset has been finalised, registry system has been developed and deployed for pilot implementation. Data entry is underway for participants after consenting. This registry is expected to increase the screening of women leading to earlier detection of diabetes. It should provide a valuable picture of the condition and is intended for extension and wider roll-out after evaluation.
A Standards-based Approach to Development of Clinical Registries - Initial Le...
A Standards-based Approach to Development of Clinical Registries - Initial Le...
Koray Atalag
International peer-reviewed academic journals call for papers, http://www.iiste.org
Contributing factors to patients overcrowding in emergency department at king...
Contributing factors to patients overcrowding in emergency department at king...
Alexander Decker
My prezo at Medinfo 2015 for openEHR Developers Workshop Shinji Kobayashi, Pablo Pazos, Koray Atalag, Sebastian Garde, Ian McNicoll, Erik Sundvall
A Standards-based Approach to Development of Clinical Registries - NZ Gestati...
A Standards-based Approach to Development of Clinical Registries - NZ Gestati...
Koray Atalag
A novel approach for supporting a clinical trial in Europe using EMR data
EMR as a highly powerful European RWD source
EMR as a highly powerful European RWD source
IMSHealthRWES
Emad Ghaly C.V. Research updated 2
Emad Ghaly C.V. Research updated 2
Emad Ghaly
To address family history collection, interpretation, and application in busy primary care practices, NCHPEG has collaborated collaborating with the March of Dimes, Genetic Alliance, Harvard Partners, and the Health Resources and Services Administration to develop and evaluate a novel family history tool that focuses on prenatal and neonatal health. The tool helps to improve health outcomes for the female patient, fetus, and family by providing clinical decision support and educational resources for risk assessment based on family history. A set of screenshots and an overview of the module can be reviewed via this downloadable ppt.
PreNatal Module, HughesRiskApps
PreNatal Module, HughesRiskApps
Fernanda Polubriaginof
Brief discussion of advantages and disadvantages of the use of composite endpoints in randomized control trials with examples.
Composite End Points
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