Literature DB >> 24943583

Can big data transform electronic health records into learning health systems?

Ellen Harper1.   

Abstract

In the United States and globally, healthcare delivery is in the midst of an acute transformation with the adoption and use of health information technology (health IT) thus generating increasing amounts of patient care data available in computable form. Secure and trusted use of these data, beyond their original purpose can change the way we think about business, health, education, and innovation in the years to come. "Big Data" is data whose scale, diversity, and complexity require new architecture, techniques, algorithms, and analytics to manage it and extract value and hidden knowledge from it.

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Year:  2014        PMID: 24943583

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  4 in total

Review 1.  Big Data Technologies: New Opportunities for Diabetes Management.

Authors:  Riccardo Bellazzi; Arianna Dagliati; Lucia Sacchi; Daniele Segagni
Journal:  J Diabetes Sci Technol       Date:  2015-04-24

2.  Reporting Data Quality Assessment Results: Identifying Individual and Organizational Barriers and Solutions.

Authors:  Tiffany Callahan; Juliana Barnard; Laura Helmkamp; Julie Maertens; Michael Kahn
Journal:  EGEMS (Wash DC)       Date:  2017-09-04

3.  K-means clustering of overweight and obese population using quantile-transformed metabolic data.

Authors:  Li Li; Qifa Song; Xi Yang
Journal:  Diabetes Metab Syndr Obes       Date:  2019-08-23       Impact factor: 3.168

Review 4.  Identifying requisite learning health system competencies: a scoping review.

Authors:  Paige L McDonald; Jessica Phillips; Kenneth Harwood; Joyce Maring; Philip J van der Wees
Journal:  BMJ Open       Date:  2022-08-23       Impact factor: 3.006

  4 in total

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