Benefits and challenges of Big Data in healthcare: an overview of the European initiatives

被引:145
作者
Pastorino, Roberta [1 ,4 ]
De Vito, Corrado [2 ]
Migliara, Giuseppe [2 ]
Glocker, Katrin [3 ]
Binenbaum, Ilona [3 ,4 ]
Ricciardi, Walter [1 ,5 ]
Boccia, Stefania [1 ,5 ]
机构
[1] Univ Cattolica Sacro Cuore, Ist San Pubbl, Sez Igiene, Rome, Italy
[2] Sapienza Univ Rome, Dept Publ Hlth & Infect Dis, Rome, Italy
[3] German Canc Res Ctr, Div Med Informat Translat Oncol, Heidelberg, Germany
[4] Univ Patras, Dept Biol, Patras, Greece
[5] Fdn Policlin Univ A Gemelli IRCCS, Publ Hlth Area, Dept Woman & Child Hlth & Publ Hlth, Rome, Italy
关键词
PRECISION MEDICINE;
D O I
10.1093/eurpub/ckz168
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Healthcare systems around the world are facing incredible challenges due to the ageing population and the related disability, and the increasing use of technologies and citizen's expectations. Improving health outcomes while containing costs acts as a stumbling block. In this context, Big Data can help healthcare providers meet these goals in unprecedented ways. The potential of Big Data in healthcare relies on the ability to detect patterns and to turn high volumes of data into actionable knowledge for precision medicine and decision makers. In several contexts, the use of Big Data in healthcare is already offering solutions for the improvement of patient care and the generation of value in healthcare organizations. This approach requires, however, that all the relevant stakeholders collaborate and adapt the design and performance of their systems. They must build the technological infrastructure to house and converge the massive volume of healthcare data, and to invest in the human capital to guide citizens into this new frontier of human health and well-being. The present work reports an overview of best practice initiatives in Europe related to Big Data analytics in public health and oncology sectors, aimed to generate new knowledge, improve clinical care and streamline public health surveillance.
引用
收藏
页码:23 / 27
页数:5
相关论文
共 19 条
  • [1] Toward unrestricted use of public genomic data
    Amann, Rudolf I.
    Baichoo, Shakuntala
    Blencowe, Benjamin J.
    Bork, Peer
    Borodovsky, Mark
    Brooksbank, Cath
    Chain, Patrick S. G.
    Colwell, Rita R.
    Daffonchio, Daniele G.
    Danchin, Antoine
    de Lorenzo, Victor
    Dorrestein, Pieter C.
    Finn, Robert D.
    Fraser, Claire M.
    Gilbert, Jack A.
    Hallam, Steven J.
    Hugenholtz, Philip
    Ioannidis, John P. A.
    Jansson, Janet K.
    Kim, Jihyun F.
    Klenk, Hans-Peter
    Klotz, Martin G.
    Knight, Rob
    Konstantinidis, Konstantinos T.
    Kyrpides, Nikos C.
    Mason, Christopher E.
    McHardy, Alice C.
    Meyer, Folker
    Ouzounis, Christos A.
    Patrinos, Aristides A. N.
    Podar, Mircea
    Pollard, Katherine S.
    Ravel, Jacques
    Munoz, Alejandro Reyes
    Roberts, Richard J.
    Rossello-Mora, Ramon
    Sansone, Susanna-Assunta
    Schloss, Patrick D.
    Schriml, Lynn M.
    Setubal, Jogo C.
    Sorek, Rotem
    Stevens, Rick L.
    Tiedje, James M.
    Turjanski, Adrian
    Tyson, Gene W.
    Ussery, David W.
    Weinstock, George M.
    White, Owen
    Whitman, William B.
    Xenarios, Ioannis
    [J]. SCIENCE, 2019, 363 (6425) : 350 - +
  • [2] [Anonymous], 2011, BIG DATA NEXT FRONTI
  • [3] Making sense of big data in health research: Towards an EU action plan
    Auffray, Charles
    Balling, Rudi
    Barroso, Ines
    Bencze, Laszlo
    Benson, Mikael
    Bergeron, Jay
    Bernal-Delgado, Enrique
    Blomberg, Niklas
    Bock, Christoph
    Conesa, Ana
    Del Signore, Susanna
    Delogne, Christophe
    Devilee, Peter
    Di Meglio, Alberto
    Eijkemans, Marinus
    Flicek, Paul
    Graf, Norbert
    Grimm, Vera
    Guchelaar, Henk-Jan
    Guo, Yi-Ke
    Gut, Ivo Glynne
    Hanbury, Allan
    Hanif, Shahid
    Hilgers, Ralf-Dieter
    Honrado, Angel
    Hose, D. Rod
    Houwing-Duistermaat, Jeanine
    Hubbard, Tim
    Janacek, Sophie Helen
    Karanikas, Haralampos
    Kievits, Tim
    Kohler, Manfred
    Kremer, Andreas
    Lanfear, Jerry
    Lengauer, Thomas
    Maes, Edith
    Meert, Theo
    Mueller, Werner
    Nickel, Dorthe
    Oledzki, Peter
    Pedersen, Bertrand
    Petkovic, Milan
    Pliakos, Konstantinos
    Rattray, Magnus
    Redon i Mas, Josep
    Schneider, Reinhard
    Sengstag, Thierry
    Serra-Picamal, Xavier
    Spek, Wouter
    Vaas, Lea A. I.
    [J]. GENOME MEDICINE, 2016, 8
  • [4] Big Data In Health Care: Using Analytics To Identify And Manage High-Risk And High-Cost Patients
    Bates, David W.
    Saria, Suchi
    Ohno-Machado, Lucila
    Shah, Anand
    Escobar, Gabriel
    [J]. HEALTH AFFAIRS, 2014, 33 (07) : 1123 - 1131
  • [5] Beyer M.A. Laney., 2012, The Importance of Big Data: A Definition
  • [6] Boccia S, DIGITALISATION BIG D
  • [7] The European network staff eXchange for integrAting precision health in the health Care sysTems (ExACT): a Marie Curie Research and Innovation Staff Exchange (RISE) project
    Boccia, Stefania
    Pastorino, Roberta
    Mariani, Marco
    Ricciardi, Walter
    [J]. EPIDEMIOLOGY BIOSTATISTICS AND PUBLIC HEALTH, 2019, 16 (02)
  • [8] Cancer Core Europe: A translational research infrastructure for a European mission on cancer
    Eggermont, Alexander M. M.
    Apolone, Giovanni
    Baumann, Michael
    Caldas, Carlos
    Celis, Julio E.
    de Lorenzo, Francesco
    Ernberg, Ingemar
    Ringborg, Ulrik
    Rowell, John
    Tabernero, Josep
    Voest, Emile
    Calvo, Fabien
    [J]. MOLECULAR ONCOLOGY, 2019, 13 (03) : 521 - 527
  • [9] European Commission, 2016, STUD BIG DAT PUBL HL
  • [10] BIG DATA AND MANAGEMENT
    George, Gerard
    Haas, Martine R.
    Pentland, Alex
    [J]. ACADEMY OF MANAGEMENT JOURNAL, 2014, 57 (02) : 321 - 326