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BigERRORS SIGNED

Exploring the promise of big data for medical error elimination

Total Cost €

0

EC-Contrib. €

0

Partnership

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Project "BigERRORS" data sheet

The following table provides information about the project.

Coordinator
TECHNION - ISRAEL INSTITUTE OF TECHNOLOGY 

Organization address
address: SENATE BUILDING TECHNION CITY
city: HAIFA
postcode: 32000
website: www.technion.ac.il

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Israel [IL]
 Project website https://web.iem.technion.ac.il/en/people/userprofile/naveh.html
 Total cost 177˙319 €
 EC max contribution 177˙319 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2015
 Funding Scheme MSCA-IF-GF
 Starting year 2016
 Duration (year-month-day) from 2016-08-01   to  2018-07-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    TECHNION - ISRAEL INSTITUTE OF TECHNOLOGY IL (HAIFA) coordinator 177˙319.00
2    PRESIDENT AND FELLOWS OF HARVARD COLLEGE US (CAMBRIDGE) partner 0.00

Map

 Project 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.

 Publications

year authors and title journal last update
List of publications.
2018 Zhike Lei, Eitan Naveh
Stuck Between Two Lives: The Paradox of Eliminating and Welcoming Errors
published pages: 106286061878764, ISSN: 1062-8606, DOI: 10.1177/1062860618787641
American Journal of Medical Quality 2019-06-13
2018 Noa Nissinboim, Eitan Naveh
Process standardization and error reduction: A revisit from a choice approach
published pages: 43-50, ISSN: 0925-7535, DOI: 10.1016/j.ssci.2017.11.015
Safety Science 103 2019-06-13
2017 Wiljeana Glover, Qing Li, Eitan Naveh, Michael Gross
Improving Quality of Care Through Integration in a Hospital Setting: A Human Systems Integration Approach
published pages: 365-376, ISSN: 0018-9391, DOI: 10.1109/TEM.2017.2682267
IEEE Transactions on Engineering Management 64/3 2019-06-13

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The information about "BIGERRORS" are provided by the European Opendata Portal: CORDIS opendata.

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