Opportunities and Challenges for Digital Health and Artificial Intelligence to Support Nurses: Results of a Survey of Nursing Informaticists.
Artificial intelligence and other digital health technologies may create opportunities to address nursing burnout. It may also be possible to reengage nurses who wish to leave the bedside in technology-enabled nursing work. Artificial intelligence and other digital health technologies may optimize n...
| Published in: | CIN: Computers, Informatics, Nursing Vol. 43; no. 7; pp. 1 - 10 |
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| Main Authors: | , , |
| Format: | CEU research tables/charts Journal Article |
| Published: |
Lippincott Williams & Wilkins
Jul2025
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=186394451&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 186394451 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 15382931 KXN jtl: CIN: Computers, Informatics, Nursing issn: 15382931 maglogo: N pubinfo: dt: Jul2025 vid: 43 iid: 7 pid: 433 pub: Lippincott Williams & Wilkins place: Baltimore, Maryland artinfo: ui: 186394451 186394451 186394451 10.1097/CIN.0000000000001279 186394451 ppf: 1 ppct: 9 formats: tig: atl: Opportunities and Challenges for Digital Health and Artificial Intelligence to Support Nurses: Results of a Survey of Nursing Informaticists. aug: au: Reading Turchioe, Meghan Austin, Robin Lytle, Kay affil: Author Affiliations: Columbia University School of Nursing, New York (Dr Reading Turchioe) sug: subj: Nursing Informatics Methods Digital Health Artificial Intelligence Support, Psychosocial Nursing Role Evaluation Digital Technology Burnout, Professional Prevention and Control Workforce Human Cross Sectional Studies Convenience Sample Data Analysis Software Descriptive Statistics Education, Continuing (Credit) Funding Source Implementation Science United States Telehealth Mobile Applications Wearable Sensors ab: Artificial intelligence and other digital health technologies may create opportunities to address nursing burnout. It may also be possible to reengage nurses who wish to leave the bedside in technology-enabled nursing work. Artificial intelligence and other digital health technologies may optimize nurses' work. Therefore, we aimed to examine the roles of nurses in facilitating the adoption of digital health technologies and identify opportunities for these technologies to reduce burnout. We conducted a cross-sectional survey study focused on nurses' use of digital health and artificial intelligence technology with nursing informaticists. Data collection was guided by the implementation science framework, Non-Adoption, Abandonment, Scale-up, Spread, and Sustainability. Participants were recruited electronically through professional nursing informatics organizations. Survey data were analyzed using basic descriptive statistics. Fifty-two participants from across the United States completed the survey. Telehealth (73%), patient portals (71%), and medical-grade devices (69%) were most frequently used, whereas artificial intelligence was frequently used by only 38%. Staffing shortages (88%), low staff retention (81%), and inadequate support when adopting new technologies (52%) were among the key drivers of nursing burnout. Participants endorsed most nursing tasks as being supported by digital health, especially patient assessment and evaluating outcomes, and especially artificial intelligence. Engaging nurses early in the process of developing and deploying digital health, especially artificial intelligence, may help address burnout by producing more nursing-centered technologies and providing technology-enabled nursing work alternatives to bedside care. pubtype: Academic Journal doctype: CEU research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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