1
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Hulsen T, Moinat M, Van Bochove K, Gorbachev A, Kaduk D, Argyriou G, Cossin S, Herrera R, Golozar A, Prinsen P, Beyer K, Van Hemelrijck M, Oja M, Axelsson S, Steinbeisser C, De Meulder B. The PIONEER watchful waiting for prostate cancer apps - a first practical application of using big data for prostate cancer. Eur Urol 2022. [DOI: 10.1016/s0302-2838(22)01131-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
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2
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Cossin S, Diouf S, Griffier R, Le Barrois d'Orgeval P, Diallo G, Jouhet V. Linkage of Hospital Records and Death Certificates by a Search Engine and Machine Learning. JAMIA Open 2021; 4:ooab005. [PMID: 33709061 PMCID: PMC7935495 DOI: 10.1093/jamiaopen/ooab005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2020] [Revised: 01/22/2021] [Accepted: 02/02/2021] [Indexed: 11/13/2022] Open
Abstract
Introduction Vital status is of central importance to hospital clinical research. However, hospital information systems record only in-hospital death information. Recently, the French government released a publicly available dataset containing death-certificate data for over 25 million individuals. The objective of this study was to link French death certificates to the Bordeaux University Hospital records to complete the vital status information. Materials and Methods Our linkage strategy was composed of a search engine to reduce the number of comparisons and machine-learning algorithms. The overall pipeline was evaluated by assembling a file containing 3,565 in-hospital deaths and 15,000 alive persons. Results The recall and precision of our linkage strategy were 97.5% and 99.97% for the upper threshold and 99.4% and 98.9% for the lower threshold, respectively. Conclusion In this study, we demonstrated the feasibility of accurately linking hospital records with death certificates using a search engine and machine learning.
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Affiliation(s)
- Sebastien Cossin
- CHU de Bordeaux, Pôle de Santé Publique, Service d'information Médicale, Informatique et Archivistique Médicales (IAM), Bordeaux F-33000, France.,Inserm, Bordeaux Population Health Research Center, Team ERIAS, University of Bordeaux, UMR 1219, Bordeaux F-33000, France
| | - Serigne Diouf
- CHU de Bordeaux, Pôle de Santé Publique, Service d'information Médicale, Informatique et Archivistique Médicales (IAM), Bordeaux F-33000, France.,Inserm, Bordeaux Population Health Research Center, Team ERIAS, University of Bordeaux, UMR 1219, Bordeaux F-33000, France
| | - Romain Griffier
- CHU de Bordeaux, Pôle de Santé Publique, Service d'information Médicale, Informatique et Archivistique Médicales (IAM), Bordeaux F-33000, France.,Inserm, Bordeaux Population Health Research Center, Team ERIAS, University of Bordeaux, UMR 1219, Bordeaux F-33000, France
| | - Philippine Le Barrois d'Orgeval
- CHU de Bordeaux, Pôle de Santé Publique, Service d'information Médicale, Informatique et Archivistique Médicales (IAM), Bordeaux F-33000, France.,Inserm, Bordeaux Population Health Research Center, Team ERIAS, University of Bordeaux, UMR 1219, Bordeaux F-33000, France
| | - Gayo Diallo
- Inserm, Bordeaux Population Health Research Center, Team ERIAS, University of Bordeaux, UMR 1219, Bordeaux F-33000, France
| | - Vianney Jouhet
- CHU de Bordeaux, Pôle de Santé Publique, Service d'information Médicale, Informatique et Archivistique Médicales (IAM), Bordeaux F-33000, France.,Inserm, Bordeaux Population Health Research Center, Team ERIAS, University of Bordeaux, UMR 1219, Bordeaux F-33000, France
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3
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Brat GA, Weber GM, Gehlenborg N, Avillach P, Palmer NP, Chiovato L, Cimino J, Waitman LR, Omenn GS, Malovini A, Moore JH, Beaulieu-Jones BK, Tibollo V, Murphy SN, Yi SL, Keller MS, Bellazzi R, Hanauer DA, Serret-Larmande A, Gutierrez-Sacristan A, Holmes JJ, Bell DS, Mandl KD, Follett RW, Klann JG, Murad DA, Scudeller L, Bucalo M, Kirchoff K, Craig J, Obeid J, Jouhet V, Griffier R, Cossin S, Moal B, Patel LP, Bellasi A, Prokosch HU, Kraska D, Sliz P, Tan ALM, Ngiam KY, Zambelli A, Mowery DL, Schiver E, Devkota B, Bradford RL, Daniar M, Daniel C, Benoit V, Bey R, Paris N, Serre P, Orlova N, Dubiel J, Hilka M, Jannot AS, Breant S, Leblanc J, Griffon N, Burgun A, Bernaux M, Sandrin A, Salamanca E, Cormont S, Ganslandt T, Gradinger T, Champ J, Boeker M, Martel P, Esteve L, Gramfort A, Grisel O, Leprovost D, Moreau T, Varoquaux G, Vie JJ, Wassermann D, Mensch A, Caucheteux C, Haverkamp C, Lemaitre G, Bosari S, Krantz ID, South A, Cai T, Kohane IS. International electronic health record-derived COVID-19 clinical course profiles: the 4CE consortium. NPJ Digit Med 2020. [PMID: 32864472 DOI: 10.1101/2020.04.13.20059691v5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
We leveraged the largely untapped resource of electronic health record data to address critical clinical and epidemiological questions about Coronavirus Disease 2019 (COVID-19). To do this, we formed an international consortium (4CE) of 96 hospitals across five countries (www.covidclinical.net). Contributors utilized the Informatics for Integrating Biology and the Bedside (i2b2) or Observational Medical Outcomes Partnership (OMOP) platforms to map to a common data model. The group focused on temporal changes in key laboratory test values. Harmonized data were analyzed locally and converted to a shared aggregate form for rapid analysis and visualization of regional differences and global commonalities. Data covered 27,584 COVID-19 cases with 187,802 laboratory tests. Case counts and laboratory trajectories were concordant with existing literature. Laboratory tests at the time of diagnosis showed hospital-level differences equivalent to country-level variation across the consortium partners. Despite the limitations of decentralized data generation, we established a framework to capture the trajectory of COVID-19 disease in patients and their response to interventions.
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Affiliation(s)
- Gabriel A Brat
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA USA
| | - Griffin M Weber
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA USA
| | - Nils Gehlenborg
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA USA
| | - Paul Avillach
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA USA
| | - Nathan P Palmer
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA USA
| | - Luca Chiovato
- IRCCS ICS Maugeri, Pavia, Italy.,Department of Internal Medicine and Medical Therapy, University of Pavia, Pavia, Italy
| | | | - Lemuel R Waitman
- Department of Internal Medicine, Division of Medical Informatics, University of Kansas Medical Center, Kansas City, KS USA
| | - Gilbert S Omenn
- Department of Computational Medicine & Bioinformatics, University of Michigan, Ann Arbor, MI USA
| | | | - Jason H Moore
- Institute for Biomedical Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA USA.,Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA USA
| | | | | | - Shawn N Murphy
- Department of Neurology, Massachusetts General Hospital, Boston, MA USA
| | - Sehi L' Yi
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA USA
| | - Mark S Keller
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA USA
| | - Riccardo Bellazzi
- IRCCS ICS Maugeri, Pavia, Italy.,Department of Electrical Computer and Biomedical Engineering, University of Pavia, Pavia, Italy
| | - David A Hanauer
- Department of Pediatrics, University of Michigan Medical School, Ann Arbor, MI USA
| | | | | | - John J Holmes
- Institute for Biomedical Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA USA.,Department of Pediatrics, University of Michigan Medical School, Ann Arbor, MI USA
| | - Douglas S Bell
- Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA USA
| | - Kenneth D Mandl
- Computational Health Informatics Program, Boston Children's Hospital, Boston, MA USA
| | - Robert W Follett
- Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA USA
| | - Jeffrey G Klann
- Department of Medicine, Massachusetts General Hospital, Boston, MA USA
| | - Douglas A Murad
- Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA USA
| | - Luigia Scudeller
- Scientific Direction, IRCCS Ca' Granda Ospedale Maggiore Policlinico di Milano, Milano, Italy
| | - Mauro Bucalo
- BIOMERIS (BIOMedical Research Informatics Solutions), Pavia, Italy
| | - Katie Kirchoff
- Biomedical Informatics Center, Medical University of South Carolina, Charleston, SC USA
| | - Jean Craig
- Biomedical Informatics Center, Medical University of South Carolina, Charleston, SC USA
| | - Jihad Obeid
- Biomedical Informatics Center, Medical University of South Carolina, Charleston, SC USA
| | | | | | | | | | - Lav P Patel
- Department of Internal Medicine, Division of Medical Informatics, University of Kansas Medical Center, Kansas City, KS USA
| | - Antonio Bellasi
- UOC Ricerca, Innovazione e Brand Reputation, ASST Papa Giovanni XXIII, Bergamo, Italy
| | - Hans U Prokosch
- Department of Medical Informatics, University of Erlangen-Nürnberg, Erlangen, Germany
| | - Detlef Kraska
- Center for Medical Information and Communication Technology, University Hospital Erlangen, Erlangen, Germany
| | - Piotr Sliz
- Computational Health Informatics Program, Boston Children's Hospital, Boston, MA USA
| | - Amelia L M Tan
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA USA
| | - Kee Yuan Ngiam
- National University Health Systems, Singapore, Singapore
| | - Alberto Zambelli
- Department of Oncology, ASST Papa Giovanni XXIII, Bergamo, Italy
| | - Danielle L Mowery
- Institute for Biomedical Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA USA.,Department of Pediatrics, University of Michigan Medical School, Ann Arbor, MI USA
| | - Emily Schiver
- Penn Medicine, Data Analytics Center, Philadelphia, PA USA
| | - Batsal Devkota
- Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, PA USA
| | - Robert L Bradford
- North Carolina Translational and Clinical Sciences (NC TraCS) Institute, UNC Chapel Hill, Chapel Hill, NC USA
| | - Mohamad Daniar
- Computational Health Informatics Program, Boston Children's Hospital, Boston, MA USA
| | - Christel Daniel
- WIND Department APHP Greater Paris University Hospital, Paris, France
| | - Vincent Benoit
- WIND Department APHP Greater Paris University Hospital, Paris, France
| | - Romain Bey
- WIND Department APHP Greater Paris University Hospital, Paris, France
| | - Nicolas Paris
- WIND Department APHP Greater Paris University Hospital, Paris, France
| | - Patricia Serre
- WIND Department APHP Greater Paris University Hospital, Paris, France
| | - Nina Orlova
- WIND Department APHP Greater Paris University Hospital, Paris, France
| | - Julien Dubiel
- WIND Department APHP Greater Paris University Hospital, Paris, France
| | - Martin Hilka
- WIND Department APHP Greater Paris University Hospital, Paris, France
| | - Anne Sophie Jannot
- Department of Biomedical Informatics, HEGP, APHP Greater Paris University Hospital, Paris, France
| | - Stephane Breant
- WIND Department APHP Greater Paris University Hospital, Paris, France
| | - Judith Leblanc
- Clinical Research Unit, Saint Antoine Hospital, APHP Greater Paris University Hospital, Paris, France
| | - Nicolas Griffon
- WIND Department APHP Greater Paris University Hospital, Paris, France
| | - Anita Burgun
- Department of Biomedical Informatics, HEGP, APHP Greater Paris University Hospital, Paris, France
| | - Melodie Bernaux
- Strategy and Transformation Department, APHP Greater Paris University Hospital, Paris, France
| | - Arnaud Sandrin
- WIND Department APHP Greater Paris University Hospital, Paris, France
| | - Elisa Salamanca
- WIND Department APHP Greater Paris University Hospital, Paris, France
| | - Sylvie Cormont
- WIND Department APHP Greater Paris University Hospital, Paris, France
| | - Thomas Ganslandt
- Heinrich-Lanz-Center for Digital Health, University Medicine Mannheim, Heidelberg University, Mannheim, Germany
| | - Tobias Gradinger
- Heinrich-Lanz-Center for Digital Health, University Medicine Mannheim, Heidelberg University, Mannheim, Germany
| | - Julien Champ
- INRIA Sophia-Antipolis-ZENITH Team, LIRMM, Montpellier, France
| | - Martin Boeker
- Institute of Medical Biometry and Statistics, Medical Center, University of Freiburg, Freiburg im Breisgau, Germany
| | - Patricia Martel
- Clinical Research Unit, Paris Saclay, APHP Greater Paris University Hospital, Paris, France
| | - Loic Esteve
- SED/SIERRA, Inria Centre de Paris, Paris, France
| | | | | | | | | | | | | | | | | | | | - Christian Haverkamp
- Institute of Digitalization in Medicine, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg im Breisgau, Germany
| | | | - Silvano Bosari
- IRCCS Ca' Granda Ospedale Maggiore Policlinico di Milano, Milano, Italy
| | - Ian D Krantz
- Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, PA USA
| | - Andrew South
- Brenner Children's Hospital, Wake Forest School of Medicine, Winston-Salem, NC USA
| | - Tianxi Cai
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA USA
| | - Isaac S Kohane
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA USA
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4
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Brat GA, Weber GM, Gehlenborg N, Avillach P, Palmer NP, Chiovato L, Cimino J, Waitman LR, Omenn GS, Malovini A, Moore JH, Beaulieu-Jones BK, Tibollo V, Murphy SN, Yi SL, Keller MS, Bellazzi R, Hanauer DA, Serret-Larmande A, Gutierrez-Sacristan A, Holmes JJ, Bell DS, Mandl KD, Follett RW, Klann JG, Murad DA, Scudeller L, Bucalo M, Kirchoff K, Craig J, Obeid J, Jouhet V, Griffier R, Cossin S, Moal B, Patel LP, Bellasi A, Prokosch HU, Kraska D, Sliz P, Tan ALM, Ngiam KY, Zambelli A, Mowery DL, Schiver E, Devkota B, Bradford RL, Daniar M, Daniel C, Benoit V, Bey R, Paris N, Serre P, Orlova N, Dubiel J, Hilka M, Jannot AS, Breant S, Leblanc J, Griffon N, Burgun A, Bernaux M, Sandrin A, Salamanca E, Cormont S, Ganslandt T, Gradinger T, Champ J, Boeker M, Martel P, Esteve L, Gramfort A, Grisel O, Leprovost D, Moreau T, Varoquaux G, Vie JJ, Wassermann D, Mensch A, Caucheteux C, Haverkamp C, Lemaitre G, Bosari S, Krantz ID, South A, Cai T, Kohane IS. International electronic health record-derived COVID-19 clinical course profiles: the 4CE consortium. NPJ Digit Med 2020; 3:109. [PMID: 32864472 PMCID: PMC7438496 DOI: 10.1038/s41746-020-00308-0] [Citation(s) in RCA: 102] [Impact Index Per Article: 25.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2020] [Accepted: 06/16/2020] [Indexed: 12/18/2022] Open
Abstract
We leveraged the largely untapped resource of electronic health record data to address critical clinical and epidemiological questions about Coronavirus Disease 2019 (COVID-19). To do this, we formed an international consortium (4CE) of 96 hospitals across five countries (www.covidclinical.net). Contributors utilized the Informatics for Integrating Biology and the Bedside (i2b2) or Observational Medical Outcomes Partnership (OMOP) platforms to map to a common data model. The group focused on temporal changes in key laboratory test values. Harmonized data were analyzed locally and converted to a shared aggregate form for rapid analysis and visualization of regional differences and global commonalities. Data covered 27,584 COVID-19 cases with 187,802 laboratory tests. Case counts and laboratory trajectories were concordant with existing literature. Laboratory tests at the time of diagnosis showed hospital-level differences equivalent to country-level variation across the consortium partners. Despite the limitations of decentralized data generation, we established a framework to capture the trajectory of COVID-19 disease in patients and their response to interventions.
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Affiliation(s)
- Gabriel A. Brat
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA USA
| | - Griffin M. Weber
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA USA
| | - Nils Gehlenborg
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA USA
| | - Paul Avillach
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA USA
| | - Nathan P. Palmer
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA USA
| | - Luca Chiovato
- IRCCS ICS Maugeri, Pavia, Italy
- Department of Internal Medicine and Medical Therapy, University of Pavia, Pavia, Italy
| | | | - Lemuel R. Waitman
- Department of Internal Medicine, Division of Medical Informatics, University of Kansas Medical Center, Kansas City, KS USA
| | - Gilbert S. Omenn
- Department of Computational Medicine & Bioinformatics, University of Michigan, Ann Arbor, MI USA
| | | | - Jason H. Moore
- Institute for Biomedical Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA USA
- Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA USA
| | | | | | - Shawn N. Murphy
- Department of Neurology, Massachusetts General Hospital, Boston, MA USA
| | - Sehi L’ Yi
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA USA
| | - Mark S. Keller
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA USA
| | - Riccardo Bellazzi
- IRCCS ICS Maugeri, Pavia, Italy
- Department of Electrical Computer and Biomedical Engineering, University of Pavia, Pavia, Italy
| | - David A. Hanauer
- Department of Pediatrics, University of Michigan Medical School, Ann Arbor, MI USA
| | | | | | - John J. Holmes
- Institute for Biomedical Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA USA
- Department of Pediatrics, University of Michigan Medical School, Ann Arbor, MI USA
| | - Douglas S. Bell
- Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA USA
| | - Kenneth D. Mandl
- Computational Health Informatics Program, Boston Children’s Hospital, Boston, MA USA
| | - Robert W. Follett
- Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA USA
| | - Jeffrey G. Klann
- Department of Medicine, Massachusetts General Hospital, Boston, MA USA
| | - Douglas A. Murad
- Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA USA
| | - Luigia Scudeller
- Scientific Direction, IRCCS Ca’ Granda Ospedale Maggiore Policlinico di Milano, Milano, Italy
| | - Mauro Bucalo
- BIOMERIS (BIOMedical Research Informatics Solutions), Pavia, Italy
| | - Katie Kirchoff
- Biomedical Informatics Center, Medical University of South Carolina, Charleston, SC USA
| | - Jean Craig
- Biomedical Informatics Center, Medical University of South Carolina, Charleston, SC USA
| | - Jihad Obeid
- Biomedical Informatics Center, Medical University of South Carolina, Charleston, SC USA
| | | | | | | | | | - Lav P. Patel
- Department of Internal Medicine, Division of Medical Informatics, University of Kansas Medical Center, Kansas City, KS USA
| | - Antonio Bellasi
- UOC Ricerca, Innovazione e Brand Reputation, ASST Papa Giovanni XXIII, Bergamo, Italy
| | - Hans U. Prokosch
- Department of Medical Informatics, University of Erlangen-Nürnberg, Erlangen, Germany
| | - Detlef Kraska
- Center for Medical Information and Communication Technology, University Hospital Erlangen, Erlangen, Germany
| | - Piotr Sliz
- Computational Health Informatics Program, Boston Children’s Hospital, Boston, MA USA
| | - Amelia L. M. Tan
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA USA
| | - Kee Yuan Ngiam
- National University Health Systems, Singapore, Singapore
| | - Alberto Zambelli
- Department of Oncology, ASST Papa Giovanni XXIII, Bergamo, Italy
| | - Danielle L. Mowery
- Institute for Biomedical Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA USA
- Department of Pediatrics, University of Michigan Medical School, Ann Arbor, MI USA
| | - Emily Schiver
- Penn Medicine, Data Analytics Center, Philadelphia, PA USA
| | - Batsal Devkota
- Department of Biomedical and Health Informatics, Children’s Hospital of Philadelphia, Philadelphia, PA USA
| | - Robert L. Bradford
- North Carolina Translational and Clinical Sciences (NC TraCS) Institute, UNC Chapel Hill, Chapel Hill, NC USA
| | - Mohamad Daniar
- Computational Health Informatics Program, Boston Children’s Hospital, Boston, MA USA
| | - Christel Daniel
- WIND Department APHP Greater Paris University Hospital, Paris, France
| | - Vincent Benoit
- WIND Department APHP Greater Paris University Hospital, Paris, France
| | - Romain Bey
- WIND Department APHP Greater Paris University Hospital, Paris, France
| | - Nicolas Paris
- WIND Department APHP Greater Paris University Hospital, Paris, France
| | - Patricia Serre
- WIND Department APHP Greater Paris University Hospital, Paris, France
| | - Nina Orlova
- WIND Department APHP Greater Paris University Hospital, Paris, France
| | - Julien Dubiel
- WIND Department APHP Greater Paris University Hospital, Paris, France
| | - Martin Hilka
- WIND Department APHP Greater Paris University Hospital, Paris, France
| | - Anne Sophie Jannot
- Department of Biomedical Informatics, HEGP, APHP Greater Paris University Hospital, Paris, France
| | - Stephane Breant
- WIND Department APHP Greater Paris University Hospital, Paris, France
| | - Judith Leblanc
- Clinical Research Unit, Saint Antoine Hospital, APHP Greater Paris University Hospital, Paris, France
| | - Nicolas Griffon
- WIND Department APHP Greater Paris University Hospital, Paris, France
| | - Anita Burgun
- Department of Biomedical Informatics, HEGP, APHP Greater Paris University Hospital, Paris, France
| | - Melodie Bernaux
- Strategy and Transformation Department, APHP Greater Paris University Hospital, Paris, France
| | - Arnaud Sandrin
- WIND Department APHP Greater Paris University Hospital, Paris, France
| | - Elisa Salamanca
- WIND Department APHP Greater Paris University Hospital, Paris, France
| | - Sylvie Cormont
- WIND Department APHP Greater Paris University Hospital, Paris, France
| | - Thomas Ganslandt
- Heinrich-Lanz-Center for Digital Health, University Medicine Mannheim, Heidelberg University, Mannheim, Germany
| | - Tobias Gradinger
- Heinrich-Lanz-Center for Digital Health, University Medicine Mannheim, Heidelberg University, Mannheim, Germany
| | - Julien Champ
- INRIA Sophia-Antipolis—ZENITH Team, LIRMM, Montpellier, France
| | - Martin Boeker
- Institute of Medical Biometry and Statistics, Medical Center, University of Freiburg, Freiburg im Breisgau, Germany
| | - Patricia Martel
- Clinical Research Unit, Paris Saclay, APHP Greater Paris University Hospital, Paris, France
| | - Loic Esteve
- SED/SIERRA, Inria Centre de Paris, Paris, France
| | | | | | | | | | | | | | | | | | | | - Christian Haverkamp
- Institute of Digitalization in Medicine, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg im Breisgau, Germany
| | | | - Silvano Bosari
- IRCCS Ca’ Granda Ospedale Maggiore Policlinico di Milano, Milano, Italy
| | - Ian D. Krantz
- Department of Biomedical and Health Informatics, Children’s Hospital of Philadelphia, Philadelphia, PA USA
| | - Andrew South
- Brenner Children’s Hospital, Wake Forest School of Medicine, Winston-Salem, NC USA
| | - Tianxi Cai
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA USA
| | - Isaac S. Kohane
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA USA
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5
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Cossin S, Godart A, Lambert M, Lebrun L, Jouhet V. SmartEHR : un moteur de recherche dans un dossier patient informatisé. Rev Epidemiol Sante Publique 2020. [DOI: 10.1016/j.respe.2020.01.119] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022] Open
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6
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Renault PO, Edouard L, Cossin S. Perception des freins et des leviers à l’utilisation du Dossier médical partagé par les médecins généralistes des Pyrénées-Atlantiques. Rev Epidemiol Sante Publique 2020. [DOI: 10.1016/j.respe.2020.01.116] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
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7
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Cossin S, Billiet L, Lalanne F, Lebrun L, Diallo G, Thiessard F. Détection automatique du mésusage médicamenteux sur les réseaux sociaux. Rev Epidemiol Sante Publique 2020. [DOI: 10.1016/j.respe.2020.01.123] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022] Open
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8
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Létinier L, Cossin S, Mansiaux Y, Arnaud M, Bezin J, Pariente A. Prévalence et description des situations à risque d’interactions médicamenteuses en France à partir des données de l’Assurance maladie. Rev Epidemiol Sante Publique 2018. [DOI: 10.1016/j.respe.2018.01.044] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
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9
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Vendrely V, Pouypoudat C, Buscail E, Cossin S, Cassinotto C, Terrebonne E, Blanc J, Dupin C, Laurent C, Dabernat S, Chiche L. Neoadjuvant Radiochemotherapy for Borderline and Locally Advanced Pancreatic Cancer Is a Promising Strategy to Improve Surgical Resection Rates and Outcome. Int J Radiat Oncol Biol Phys 2016. [DOI: 10.1016/j.ijrobp.2016.06.1042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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10
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Cossin S, Malavaud S, Jarno P, Giard M, L'Hériteau F, Simon L, Bieler L, Molinier L, Marcheix B, Venier AG, Simon L, Ali-Brandmeyer O, Neels C, Jarno P, Aupée M, Perennec M, Astagneau P, L'Hériteau F, Daniel F, Campion C, Giard M, Bernet C, Caillat-Vallet E, Venier AG, Bervas C, Reyreaud E, Baillet P, Costa Y, Jost JL, Merle V, Merlo L, Seguier JC, Malavaud S, Bruyere F, Thiolet JM, Barquin-Guichard S. Surgical site infection after valvular or coronary artery bypass surgery: 2008–2011 French SSI national ISO-RAISIN surveillance. J Hosp Infect 2015; 91:225-30. [DOI: 10.1016/j.jhin.2015.07.001] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2014] [Accepted: 07/16/2015] [Indexed: 11/17/2022]
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