Literature DB >> 25006138

Early experiences with big data at an academic medical center.

John D Halamka1.   

Abstract

Beth Israel Deaconess Medical Center (BIDMC), an academic health care institution affiliated with Harvard University, has been an early adopter of electronic applications since the 1970s. Various departments of the medical center and the physician practice groups affiliated with it have implemented electronic health records, filmless imaging, and networked medical devices to such an extent that data storage at BIDMC now amounts to three petabytes and continues to grow at a rate of 25 percent a year. Initially, the greatest technical challenge was the cost and complexity of data storage. However, today the major focus is on transforming raw data into information, knowledge, and wisdom. This article discusses the data growth, increasing importance of analytics, and changing user requirements that have shaped the management of big data at BIDMC. Project HOPE—The People-to-People Health Foundation, Inc.

Keywords:  Health Reform; Information Technology; Quality Of Care

Mesh:

Year:  2014        PMID: 25006138     DOI: 10.1377/hlthaff.2014.0031

Source DB:  PubMed          Journal:  Health Aff (Millwood)        ISSN: 0278-2715            Impact factor:   6.301


  11 in total

1.  Commentary: Epidemiology in the era of big data.

Authors:  Stephen J Mooney; Daniel J Westreich; Abdulrahman M El-Sayed
Journal:  Epidemiology       Date:  2015-05       Impact factor: 4.822

Review 2.  Big data analytics to improve cardiovascular care: promise and challenges.

Authors:  John S Rumsfeld; Karen E Joynt; Thomas M Maddox
Journal:  Nat Rev Cardiol       Date:  2016-03-24       Impact factor: 32.419

Review 3.  Challenges Associated With Using Large Data Sets for Quality Assessment and Research in Clinical Settings.

Authors:  Bevin Cohen; David K Vawdrey; Jianfang Liu; David Caplan; E Yoko Furuya; Frederick W Mis; Elaine Larson
Journal:  Policy Polit Nurs Pract       Date:  2015-09-08

4.  Leveraging a Statewide Clinical Data Warehouse to Expand Boundaries of the Learning Health System.

Authors:  Christine B Turley; Jihad Obeid; Rick Larsen; Katrina M Fryar; Leslie Lenert; Arik Bjorn; Genevieve Lyons; Jay Moskowitz; Iain Sanderson
Journal:  EGEMS (Wash DC)       Date:  2016-12-06

5.  A Roadmap for Optimizing Asthma Care Management via Computational Approaches.

Authors:  Gang Luo; Katherine Sward
Journal:  JMIR Med Inform       Date:  2017-09-26

6.  Using Temporal Features to Provide Data-Driven Clinical Early Warnings for Chronic Obstructive Pulmonary Disease and Asthma Care Management: Protocol for a Secondary Analysis.

Authors:  Gang Luo; Bryan L Stone; Corinna Koebnick; Shan He; David H Au; Xiaoming Sheng; Maureen A Murtaugh; Katherine A Sward; Michael Schatz; Robert S Zeiger; Giana H Davidson; Flory L Nkoy
Journal:  JMIR Res Protoc       Date:  2019-06-06

7.  Prevalence and Correlates of Cannabis Use in Massachusetts after Cannabis Legalization and before Retail Sales.

Authors:  Elizabeth A Evans; Eva Goldwater; Edward J Stanek; Penny Brierley-Bowers; David Buchanan; Jennifer M Whitehill
Journal:  J Psychoactive Drugs       Date:  2020-11-26

8.  A Roadmap for Automating Lineage Tracing to Aid Automatically Explaining Machine Learning Predictions for Clinical Decision Support.

Authors:  Gang Luo
Journal:  JMIR Med Inform       Date:  2021-05-27

9.  Big data are coming to psychiatry: a general introduction.

Authors:  Scott Monteith; Tasha Glenn; John Geddes; Michael Bauer
Journal:  Int J Bipolar Disord       Date:  2015-09-29

10.  Tailored Healthcare: Two Perspectives on the Development and Use of Patient Profiles.

Authors:  Tessa Dekkers; Dorijn F L Hertroijs
Journal:  Adv Ther       Date:  2018-08-13       Impact factor: 3.845

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