Big data in healthcare - the promises, challenges and opportunities from a research perspective: A case study with a model database

Date
2018-04-16
Language
American English
Embargo Lift Date
Committee Members
Degree
Degree Year
Department
Grantor
Journal Title
Journal ISSN
Volume Title
Found At
AMIA
Abstract

Recent advances in data collection during routine health care in the form of Electronic Health Records (EHR), medical device data (e.g., infusion pump informatics, physiological monitoring data, and insurance claims data, among others, as well as biological and experimental data, have created tremendous opportunities for biological discoveries for clinical application. However, even with all the advancement in technologies and their promises for discoveries, very few research findings have been translated to clinical knowledge, or more importantly, to clinical practice. In this paper, we identify and present the initial work addressing the relevant challenges in three broad categories: data, accessibility, and translation. These issues are discussed in the context of a widely used detailed database from an intensive care unit, Medical Information Mart for Intensive Care (MIMIC III) database.

Description
item.page.description.tableofcontents
item.page.relation.haspart
Cite As
Adibuzzaman, M., DeLaurentis, P., Hill, J., & Benneyworth, B. D. (2018). Big data in healthcare - the promises, challenges and opportunities from a research perspective: A case study with a model database. AMIA ... Annual Symposium proceedings. AMIA Symposium, 2017, 384-392.
ISSN
Publisher
Series/Report
Sponsorship
Major
Extent
Identifier
Relation
Journal
AMIA Annual Symposium Proceedings
Source
PMC
Alternative Title
Type
Article
Number
Volume
Conference Dates
Conference Host
Conference Location
Conference Name
Conference Panel
Conference Secretariat Location
Version
Final published version
Full Text Available at
This item is under embargo {{howLong}}