Objective Errors in hospitals pose serious threats to human lives and affect total costs. Big data research is fast becoming a tool that not only analyzes patterns but can also provide the predictive likelihood of an event. Big data may be a great opportunity to make data an engine to dramatically decrease error rates in hospital. However, there is very little published research literature that tackles the challenges of using big data in organizations and explores the promise and opportunities for new theories and practices that big data might bring about. The overriding objective of this proposal is to explore the promise of big data for eliminating and managing errors in hospitals. The beneficiary, Prof Eitan Naveh from the Technion – Israel Institute of Technology, is a world leading researcher in the area of errors. The partner organization is Harvard University. The partnership member from Harvard is Prof Sara Singer, a world-class leading Professor of Health Policy and Management at Harvard’s T.H. Chan School of Public Health. Prof Naveh will spend the first year of the research project in Harvard and will be hosted by Prof Singer. During the fellowship, Prof Naveh will obtain training and new knowledge in Harvard’s exciting environment, and specifically in Prof Singer’s new health care High Reliability Learning Lab. Prof Naveh will gain training and new knowledge that refers to new interdisciplinary scientific techniques and transferable skills in big data, and will set a new research agenda for the science of errors in hospitals. The competences Prof Naveh will gain will allow new state-of-the-art research with opportunities to practice and improve health care. Prof Naveh will develop a network to communicate and disseminate the study’s results and to realize its exploration and developments. Fields of science medical and health scienceshealth sciencespublic healthnatural sciencescomputer and information sciencesdata sciencebig datamedical and health sciencesclinical medicineoncologynatural sciencescomputer and information sciencesartificial intelligencemachine learningnatural sciencescomputer and information sciencesdata sciencedata processing Programme(s) H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions Main Programme H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility Topic(s) MSCA-IF-2015-GF - Marie Skłodowska-Curie Individual Fellowships (IF-GF) Call for proposal H2020-MSCA-IF-2015 See other projects for this call Funding Scheme MSCA-IF-GF - Global Fellowships Coordinator TECHNION - ISRAEL INSTITUTE OF TECHNOLOGY Net EU contribution € 177 319,80 Address SENATE BUILDING TECHNION CITY 32000 Haifa Israel See on map Activity type Higher or Secondary Education Establishments Links Contact the organisation Opens in new window Website Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Total cost € 177 319,80 Partners (1) Sort alphabetically Sort by Net EU contribution Expand all Collapse all Partner Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement. PRESIDENT AND FELLOWS OF HARVARD COLLEGE United States Net EU contribution € 0,00 Address MASSACHUSETTS AVENUE 1350 02138 Cambridge See on map Activity type Higher or Secondary Education Establishments Links Contact the organisation Opens in new window Website Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Total cost € 86 065,20
