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rémy choquet e-health innovation director home research publications contact copyright text here #ehealth #innovation #artificialintelligence #datascience rémy choquet, phd, is a e-health expert for data driven large scale projects. he has an excellent knowledge of local, national and european e-health issues. besides, he is associated with the biggest e-health research lab in france which collaborates within many national or european h2020 projects. he has a phd in public health : epidemiology and medical data science from the pierre and marie curie university (p6). he actually is the inovation director at orange healthcare and member of the limics lab (u1142) at inserm. he is an expert in medical data science , semantics , data quality and interoperability in healthcare generated data reuse for public health and research (epidemiology and surveillance systems). he publishes into key domain specific journals and is often appointed as expert for national or european authorities for various e-health topics. he is co-editor of the clinical research informatics section of the imia yearbook of medical informatics. he is french anr health informatics project external expert reviewer. he participates to several journals or conferences as an external scientific reviewer. he is lecturer for registries and rare diseases. he teaches data science, big data and ontology engineering at the lyon 2 university. he’s main interests are : e-health strategy thinking, artificial intelligence, innovation, health information systems, data science, medical informatics, health informatics, clinical research informatics, ontologies, data quality, data integration, semantic interoperability, public health, rare diseases, health it strategy, management, data privacy. positions present 2017 director of innovation orange healthcare 2017 2014 director and chief e-health researcher french national databank infrastructure for rare diseasesnecker hospital for children aphp 2014 2012 ehealth project manager and data architect french national databank infrastructure for rare diseasesnecker hospital for children, aphp present 2012 associate researcher medical informatics and knowledge engineering unit, inserm u1142 present 2011 assistant professor université louis lumière, lyon 2 ms.c. degree linked data and ontologies 2012 2011 ph.d. candidate medical informatics orphanet, ontology project, inserm 2011 2008 ph.d. candidate medical informatics e-health european project manager debugit eu fp7 frameworkmedical knowledge engineering, inserm umrs872 eq20 2007 2004 regulatory it european project manager barclays capital, paris 2004 1998 it support and data center manager barclays capital, paris education ph.d. 2016 senior lecturer/associate professor qualification granted by the french ministry of research and education (conseil national des universités) ph.d. 2011 ph.d. in pubic health : epidemiology and medical data science université pierre et marie curie, paris 6school of public health master's research degree 2008 knowledge extraction from data université louis lumière, lyon 2 master's degree 2007 decision support université louis lumière, lyon 2 pmi 2004 project management in large organisations washington university, london associate's degree 1998 computer science université paris descartes, paris 5 high school grad. 1996 mathematics paris main publications a. weill, r. choquet, j. rudant, p. ricordeau, c. messiaen, f. alla, and p. landais, « prévalence de la cystinose en france, observance du traitement et coûts directs pour l’assurance maladie : base de données de l’assurance maladie (sniiram) et bndmr, » in 7e colloque pep adelf afcros , 2015, pp. 1-16. [bibtex] @inproceedings{weill2015, author = {weill, a and choquet, r and rudant, j and ricordeau, p and messiaen, c and alla, f and landais, p}, booktitle = {7e colloque pep adelf afcros}, pages = {1--16}, title = {{pr{\'{e}}valence de la cystinose en france, observance du traitement et co{\^{u}}ts directs pour l'assurance maladie : base de donn{\'{e}}es de l'assurance maladie (sniiram) et bndmr}}, year = {2015} } r. choquet, m. maaroufi, a. de carrara, c. messiaen, e. luigi, and p. landais, « a methodology for a minimum data set for rare diseases to support national centers of excellence for healthcare and research., » journal of the american medical informatics association : jamia , pp. 1-7, 2015. [bibtex] @article{choquet2014b, abstract = {background: although rare disease patients make up approximately 6-8{\%} of all patients in europe, it is often difficult to find the necessary expertise for diagnosis and care and the patient numbers needed for rare disease research. the second french national plan for rare diseases highlighted the necessity for better care coordination and epidemiology for rare diseases. a clinical data standard for normalization and exchange of rare disease patient data was proposed. the original methodology used to build the french national minimum data set (f-mds-rd) common to the 131 expert rare disease centers is presented. methods: to encourage consensus at a national level for homogeneous data collection at the point of care for rare disease patients, we first identified four national expert groups. we reviewed the scientific literature for rare disease common data elements (cdes) in order to build the first version of the f-mds-rd. the french rare disease expert centers validated the data elements (des). the resulting f-mds-rd was reviewed and approved by the national plan strategic committee. it was then represented in an hl7 electronic format to maximize interoperability with electronic health records. results: the f-mds-rd is composed of 58 des in six categories: patient, family history, encounter, condition, medication, and questionnaire. it is hl7 compatible and can use various ontologies for diagnosis or sign encoding. the f-mds-rd was aligned with other cde initiatives for rare diseases, thus facilitating potential interconnections between rare disease registries. conclusions: the french f-mds-rd was defined through national consensus. it can foster better care coordination and facilitate determining rare disease patients' eligibility for research studies, trials, or cohorts. since other countries will need to develop their own standards for rare disease data collection, they might benefit from the methods presented here.}, author = {choquet, r{\'{e}}my and maaroufi, meriem and de carrara, albane and messiaen, claude and luigi, emmanuel and landais, paul}, doi = {10.1136/amiajnl-2014-002794}, issn = {1527-974x}, journal = {journal of the american medical informatics association : jamia}, pages = {1--7}, pmid = {25038198}, title = {{a methodology for a minimum data set for rare diseases to support national centers of excellence for healthcare and research.}}, url = {http://www.ncbi.nlm.nih.gov/pubmed/25038198}, year = {2015} } r. choquet and p. landais, « the french national registry for rare diseases: an integrated model from care to epidemiology and research, » orphanet journal of rare diseases , vol. 9, iss. suppl 1, p. o7, 2014. [bibtex] @article{choquet2014a, author = {choquet, r{\'{e}}my and landais, paul}, doi = {10.1186/1750-1172-9-s1-o7}, issn = {1750-1172}, journal = {orphanet journal of rare diseases}, number = {suppl 1}, pages = {o7}, title = {{the french national registry for rare diseases: an integrated model from care to epidemiology and research}}, url = {http://www.ojrd.com/content/9/s1/o7}, volume = {9}, year = {2014} } d. taruscio, l. vittozzi, r. choquet, k. heimdal, g. iskrov, y. kodra, p. landais, m. posada, r. stefanov, c. steinmueller, e. swinnen, and h. {van oyen}, « national registries of rare diseases in europe: an overview of the current situation and experiences, » public health genomics , 2014. [bibtex] @article{taruscio2014, author = {taruscio, d. and vittozzi, l. and choquet, r. and heimdal, k. and iskrov, g. and kodra, y. and landais, p. and posada, m. and ste

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