Literature DB >> 27708172

Handling Big Data in Modern Healthcare.

Hassan A Aziz1.   

Abstract

The constant growth of medical knowledge and the increases in specialization in clinical practice have created a significant need to share and access patient information with speed and efficiency. However, current technology is centered on processing data, rather than gathering information. To realize the potential of modern technology in improving patient health, merely collecting and storing data are insufficient: one must convert these data into information and knowledge. In this article, I present an overview of 2 recent advances in technology and their assimilation into the practice of medicine, in the attempt to make clinical data meaningful and then to learn from aggregated clinical data. We address the emergence of clinical data warehouses (CDWs) and health information exchanges (HIEs), as features of the Health Information Technology for Economic and Clinical Health (HITECH) Act. This act, enacted in the United States as part of the American Recovery and Reinvestment Act of 2009, was signed into law on February 17, 2009, to promote the adoption and meaningful use of health information technology. © American Society for Clinical Pathology, 2016. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

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Year:  2016        PMID: 27708172     DOI: 10.1093/labmed/lmw038

Source DB:  PubMed          Journal:  Lab Med        ISSN: 0007-5027


  2 in total

1.  Applying Data Warehousing to a Phase III Clinical Trial From the Fondazione Italiana Linfomi Ensures Superior Data Quality and Improved Assessment of Clinical Outcomes.

Authors:  Gian Maria Zaccaria; Simone Ferrero; Samanta Rosati; Marco Ghislieri; Elisa Genuardi; Andrea Evangelista; Rebecca Sandrone; Cristina Castagneri; Daniela Barbero; Mariella Lo Schirico; Luca Arcaini; Anna Lia Molinari; Filippo Ballerini; Andres Ferreri; Paola Omedè; Alberto Zamò; Gabriella Balestra; Mario Boccadoro; Sergio Cortelazzo; Marco Ladetto
Journal:  JCO Clin Cancer Inform       Date:  2019-10

2.  Answering medical questions in Chinese using automatically mined knowledge and deep neural networks: an end-to-end solution.

Authors:  Li Zhang; Xiaoran Yang; Shijian Li; Tianyi Liao; Gang Pan
Journal:  BMC Bioinformatics       Date:  2022-04-15       Impact factor: 3.307

  2 in total

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