Informatics and data science perspective on Future of Nursing 2020–2030: Charting a pathway to health equity

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  • Suzanne Bakken (a,b,c), Caitlin Dreisbach (c) — (a) School of Nursing, Columbia University, New York, NY 10032, United States; (b) Department of Biomedical Informatics, Columbia University, New York, NY, United States; (c) Data Science Institute, Columbia University, New York, NY, United States

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http://hdl.handle.net/10755/23086
Abstract

The Future of Nursing 2020 to 2030 report explicitly addresses the need for integration of nursing expertise in designing, generating, analyzing, and applying data to support initiatives focused on social determinants of health (SDOH) and health equity. The metrics necessary to enable and evaluate progress on all recommendations require harnessing existing data sources and developing new ones, as well as transforming and integrating data into information systems to facilitate communication, information sharing, and decision making among the key stakeholders. We examine the recommendations of the 2021 report through an interdisciplinary lens that integrates nursing, biomedical informatics, and data science by addressing three critical questions: (a) what data are needed?, (b) what infrastructure and processes are needed to transform data into information?, and (c) what information systems are needed to “level up” nurse-led interventions from the micro-level to the meso- and macro-levels to address social determinants of health and advance health equity?

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This article is published as part of a supplement sponsored by Academy Health, with support from the Robert Wood Johnson Foundation.

Repository Posting Date
2023-04-04T20:52:26Z
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The authors of this work did not submit this material directly to the Sigma Repository. This work is indexed and appears in the Sigma Repository pursuant to a Creative Commons Attribution 4.0 International License attached to the work upon its publication in the journal acknowledged in this record. Please refer to the attached license (the icon at the bottom of this entry) for further information and terms. All terms of the license have been followed. There are no changes in this article from the original posting

Type Information
TypeArticle
AcquisitionIndexed from External Source (Per Rights Granted in Creative Commons License)
Review TypeExternal Review: Previously Published Material
FormatText-based Document
Category Information
Evidence LevelExpert Opinion (nationally/internationally recognized)
Research ApproachN/A
KeywordsNursing;
Biomedical Informatics;
Data Science
Original Publication Info
PublisherElsevier
Date2022-11
VersionPublisher’s Version
DOIhttps://doi.org/10.1016/j.outlook.2022.04.004
CitationCite this article: Bakken, S., Dreisbach, C., (2022, November/December). Informatics and data science perspective on Future of Nursing 2020–2030: Charting a pathway to health equity. Nurs Outlook, 70(6S1), S77–S87. https://doi.org/10.1016/j.outlook.2022.04.004. http://hdl.handle.net/10755/23086.
ISSN0029-6554
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Except where otherwise noted, this item's license is described as Attribution 4.0 International (CC BY 4.0)
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