ºÝºÝߣshows by User: MaximMoinat / http://www.slideshare.net/images/logo.gif ºÝºÝߣshows by User: MaximMoinat / Thu, 02 Apr 2020 13:39:44 GMT ºÝºÝߣShare feed for ºÝºÝߣshows by User: MaximMoinat The IMI EHDEN project: large-scale analysis of observation data in Europe - CDISC EU April 2nd 2020 - Maxim Moinat and Nigel Hughes /slideshow/the-imi-ehden-project-largescale-analysis-of-observation-data-in-europe-cdisc-eu-april-2nd-2020-maxim-moinat-and-nigel-hughes/231294767 cdisceuapril2020-europeanhealthdataandevidencenetwork-maximmoinatandnigelhughes-200402133944
The European Health Data & Evidence Network (EHDEN) project, funded via the Innovative Medicines Initiative (IMI), is the largest of its kind in Europe working in the domain of RWD/RWE. It is a public private partnership consortium of 22 partners, from 2018 to 2024, led by Erasmus Medical Center (EMC) and Janssen, working to create an open science community symbiotic with the Observational Health Data Science and Informatics (OHDSI) global framework to facilitate observational/RWD-based research at scale and acceleration, without impinging on quality. At its core is the standardisation of RWD via use of the Observational Medical Outcomes Partnership (OMOP) common data model (CDM), standardised analytics and a sustainable research community for the coming decades. Potentially, between EHDEN and OHDSI there are several use cases developed on the boundaries between clinical trials and observational data, and we look forward discussing these with the CDISC community.]]>
The European Health Data & Evidence Network (EHDEN) project, funded via the Innovative Medicines Initiative (IMI), is the largest of its kind in Europe working in the domain of RWD/RWE. It is a public private partnership consortium of 22 partners, from 2018 to 2024, led by Erasmus Medical Center (EMC) and Janssen, working to create an open science community symbiotic with the Observational Health Data Science and Informatics (OHDSI) global framework to facilitate observational/RWD-based research at scale and acceleration, without impinging on quality. At its core is the standardisation of RWD via use of the Observational Medical Outcomes Partnership (OMOP) common data model (CDM), standardised analytics and a sustainable research community for the coming decades. Potentially, between EHDEN and OHDSI there are several use cases developed on the boundaries between clinical trials and observational data, and we look forward discussing these with the CDISC community.]]> Thu, 02 Apr 2020 13:39:44 GMT /slideshow/the-imi-ehden-project-largescale-analysis-of-observation-data-in-europe-cdisc-eu-april-2nd-2020-maxim-moinat-and-nigel-hughes/231294767 MaximMoinat@slideshare.net(MaximMoinat) The IMI EHDEN project: large-scale analysis of observation data in Europe - CDISC EU April 2nd 2020 - Maxim Moinat and Nigel Hughes MaximMoinat The European Health Data & Evidence Network (EHDEN) project, funded via the Innovative Medicines Initiative (IMI), is the largest of its kind in Europe working in the domain of RWD/RWE. It is a public private partnership consortium of 22 partners, from 2018 to 2024, led by Erasmus Medical Center (EMC) and Janssen, working to create an open science community symbiotic with the Observational Health Data Science and Informatics (OHDSI) global framework to facilitate observational/RWD-based research at scale and acceleration, without impinging on quality. At its core is the standardisation of RWD via use of the Observational Medical Outcomes Partnership (OMOP) common data model (CDM), standardised analytics and a sustainable research community for the coming decades. Potentially, between EHDEN and OHDSI there are several use cases developed on the boundaries between clinical trials and observational data, and we look forward discussing these with the CDISC community. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/cdisceuapril2020-europeanhealthdataandevidencenetwork-maximmoinatandnigelhughes-200402133944-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> The European Health Data &amp; Evidence Network (EHDEN) project, funded via the Innovative Medicines Initiative (IMI), is the largest of its kind in Europe working in the domain of RWD/RWE. It is a public private partnership consortium of 22 partners, from 2018 to 2024, led by Erasmus Medical Center (EMC) and Janssen, working to create an open science community symbiotic with the Observational Health Data Science and Informatics (OHDSI) global framework to facilitate observational/RWD-based research at scale and acceleration, without impinging on quality. At its core is the standardisation of RWD via use of the Observational Medical Outcomes Partnership (OMOP) common data model (CDM), standardised analytics and a sustainable research community for the coming decades. Potentially, between EHDEN and OHDSI there are several use cases developed on the boundaries between clinical trials and observational data, and we look forward discussing these with the CDISC community.
The IMI EHDEN project: large-scale analysis of observation data in Europe - CDISC EU April 2nd 2020 - Maxim Moinat and Nigel Hughes from Maxim Moinat
]]> 398 1 https://cdn.slidesharecdn.com/ss_thumbnails/cdisceuapril2020-europeanhealthdataandevidencenetwork-maximmoinatandnigelhughes-200402133944-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 OHDSI OMOP - i2b2 conference Tübingen 2019 /MaximMoinat/ohdsi-omop-i2b2-conference-tbingen-2019 ohdsi-omop-i2b2conferencetubingen2019-191106135430
ºÝºÝߣs as given for the i2b2 conference in October 2019. https://transmartfoundation.org/tubingen-symposium-2019-agenda/ Observational Health Data Sciences and Informatics (OHDSI) is a multi-stakeholder, interdisciplinary, international collaborative with a mission to improve health by empowering a community to collaboratively generate the evidence that promotes better health decisions and better care. With 200 researchers from 25 countries and half a billion unique patients, OHDSI carries out federated studies at sufficient scale to answer questions about diagnosis and treatment. At the heart of the OHDSI platform is the OMOP Common Data Model, currently at v6, around which a toolset is built for carrying out reusable, repeatable and reproducible observational clinical research on a large scale.]]>
ºÝºÝߣs as given for the i2b2 conference in October 2019. https://transmartfoundation.org/tubingen-symposium-2019-agenda/ Observational Health Data Sciences and Informatics (OHDSI) is a multi-stakeholder, interdisciplinary, international collaborative with a mission to improve health by empowering a community to collaboratively generate the evidence that promotes better health decisions and better care. With 200 researchers from 25 countries and half a billion unique patients, OHDSI carries out federated studies at sufficient scale to answer questions about diagnosis and treatment. At the heart of the OHDSI platform is the OMOP Common Data Model, currently at v6, around which a toolset is built for carrying out reusable, repeatable and reproducible observational clinical research on a large scale.]]> Wed, 06 Nov 2019 13:54:30 GMT /MaximMoinat/ohdsi-omop-i2b2-conference-tbingen-2019 MaximMoinat@slideshare.net(MaximMoinat) OHDSI OMOP - i2b2 conference Tübingen 2019 MaximMoinat ºÝºÝߣs as given for the i2b2 conference in October 2019. https://transmartfoundation.org/tubingen-symposium-2019-agenda/ Observational Health Data Sciences and Informatics (OHDSI) is a multi-stakeholder, interdisciplinary, international collaborative with a mission to improve health by empowering a community to collaboratively generate the evidence that promotes better health decisions and better care. With 200 researchers from 25 countries and half a billion unique patients, OHDSI carries out federated studies at sufficient scale to answer questions about diagnosis and treatment. At the heart of the OHDSI platform is the OMOP Common Data Model, currently at v6, around which a toolset is built for carrying out reusable, repeatable and reproducible observational clinical research on a large scale. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/ohdsi-omop-i2b2conferencetubingen2019-191106135430-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> ºÝºÝߣs as given for the i2b2 conference in October 2019. https://transmartfoundation.org/tubingen-symposium-2019-agenda/ Observational Health Data Sciences and Informatics (OHDSI) is a multi-stakeholder, interdisciplinary, international collaborative with a mission to improve health by empowering a community to collaboratively generate the evidence that promotes better health decisions and better care. With 200 researchers from 25 countries and half a billion unique patients, OHDSI carries out federated studies at sufficient scale to answer questions about diagnosis and treatment. At the heart of the OHDSI platform is the OMOP Common Data Model, currently at v6, around which a toolset is built for carrying out reusable, repeatable and reproducible observational clinical research on a large scale.
OHDSI OMOP - i2b2 conference T端bingen 2019 from Maxim Moinat
]]> 516 0 https://cdn.slidesharecdn.com/ss_thumbnails/ohdsi-omop-i2b2conferencetubingen2019-191106135430-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 https://public.slidesharecdn.com/v2/images/profile-picture.png https://cdn.slidesharecdn.com/ss_thumbnails/cdisceuapril2020-europeanhealthdataandevidencenetwork-maximmoinatandnigelhughes-200402133944-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/the-imi-ehden-project-largescale-analysis-of-observation-data-in-europe-cdisc-eu-april-2nd-2020-maxim-moinat-and-nigel-hughes/231294767 The IMI EHDEN project:... https://cdn.slidesharecdn.com/ss_thumbnails/ohdsi-omop-i2b2conferencetubingen2019-191106135430-thumbnail.jpg?width=320&height=320&fit=bounds MaximMoinat/ohdsi-omop-i2b2-conference-tbingen-2019 OHDSI OMOP - i2b2 conf...