Literature DB >> 26340241

Nursing Knowledge: Big Data Science-Implications for Nurse Leaders.

Bonnie L Westra1, Thomas R Clancy, Joyce Sensmeier, Judith J Warren, Charlotte Weaver, Connie W Delaney.   

Abstract

The integration of Big Data from electronic health records and other information systems within and across health care enterprises provides an opportunity to develop actionable predictive models that can increase the confidence of nursing leaders' decisions to improve patient outcomes and safety and control costs. As health care shifts to the community, mobile health applications add to the Big Data available. There is an evolving national action plan that includes nursing data in Big Data science, spearheaded by the University of Minnesota School of Nursing. For the past 3 years, diverse stakeholders from practice, industry, education, research, and professional organizations have collaborated through the "Nursing Knowledge: Big Data Science" conferences to create and act on recommendations for inclusion of nursing data, integrated with patient-generated, interprofessional, and contextual data. It is critical for nursing leaders to understand the value of Big Data science and the ways to standardize data and workflow processes to take advantage of newer cutting edge analytics to support analytic methods to control costs and improve patient quality and safety.

Entities:  

Mesh:

Year:  2015        PMID: 26340241     DOI: 10.1097/NAQ.0000000000000130

Source DB:  PubMed          Journal:  Nurs Adm Q        ISSN: 0363-9568


  7 in total

1.  Evolution of an Implementation-Ready Interprofessional Pain Assessment Reference Model.

Authors:  Sarah A Collins; Karen Bavuso; Mary Swenson; Christine Suchecki; Perry Mar; Roberto A Rocha
Journal:  AMIA Annu Symp Proc       Date:  2018-04-16

2.  Feasibility of Representing Data from Published Nursing Research Using the OMOP Common Data Model.

Authors:  Hyeoneui Kim; Jeeyae Choi; Imho Jang; Jimmy Quach; Lucila Ohno-Machado
Journal:  AMIA Annu Symp Proc       Date:  2017-02-10

3.  Healthcare data scientist qualifications, skills, and job focus: a content analysis of job postings.

Authors:  Melanie A Meyer
Journal:  J Am Med Inform Assoc       Date:  2019-05-01       Impact factor: 4.497

4.  How do wound care nurses structure the subjective frame on palliative wound care? A Q-methodology approach.

Authors:  Ye-Na Lee; Sung Ok Chang
Journal:  BMC Nurs       Date:  2022-05-17

5.  Reducing Emergency Room Visits and In-Hospitalizations by Implementing Best Practice for Transitional Care Using Innovative Technology and Big Data.

Authors:  Sharon Hewner; Suzanne S Sullivan; Guan Yu
Journal:  Worldviews Evid Based Nurs       Date:  2018-03-23       Impact factor: 2.931

Review 6.  The Need for a Definition of Big Data for Nursing Science: A Case Study of Disaster Preparedness.

Authors:  Ho Ting Wong; Vico Chung Lim Chiang; Kup Sze Choi; Alice Yuen Loke
Journal:  Int J Environ Res Public Health       Date:  2016-10-17       Impact factor: 3.390

Review 7.  Big Data's Role in Precision Public Health.

Authors:  Shawn Dolley
Journal:  Front Public Health       Date:  2018-03-07
  7 in total

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