Nurses Partnering with Technology to Predict the Patients' Risk of Falling Using Artificial Intelligence
Aquino, A. (2023). Nurses partnering with technology to predict the patients' risk of falling using artificial intelligence. Online Journal of Nursing Informatics (OJNI), 26(3). https://www.himss.org/resources/online-
Abstract
Artificial intelligence's influence on human lives has ca...
Role Of artificial intelligence and its impact in mental health services
Abstract
As an ever-evolving technology, Artificial Intelligence (AI) via the Internet can be used on a day-to-day basis to seek information, seek health resources, and acquire social support in mental health. Through an integrative review, this study aimed to understand AI’s role and its im...
Nursing Care Related Data in Turkish Electronic Health Record Systems: A Literature Review
Citation: Ozduyan Kilic, M. & Korkmaz, F. (2023). Nursing care related data in Turkish electronic health record systems: A literature review. Online Journal of Nursing Informatics (OJNI), 26(3). https://www.himss.org/resources/online-journal-nursing-informatics
Abstract
Aim: Elec...
Fording rivers of healthcare. Student Editorial
Citation: Betley, M. (2023). Fording rivers of healthcare. Student Editorial. Online Journal of Nursing Informatics (OJNI), 26(3). https://www.himss.org/resources/online-journal-nursing-informatics
A wise person once told me that the job my child will hold does not yet exist. In the wor...
Access to Healthcare Data May Cause Patient Stress. Student Editorial.
Citation: Wodzisz, A. (2023). Access to healthcare data may cause patient stress. Student Editorial. Online Journal of Nursing Informatics (OJNI), 26(3). https://www.himss.org/resources/online-journal-nursing-informatics
Nursing informatics has come a long way over the last decade. I re...
Inclusion of the European Portuguese Version of the Visual Infusion Phlebitis Scale in a Health Information System
Citation: Ventura, D., DaSilva Freitas, J., & Simoes, J. (2023). Inclusion of the European Portuguese version of the visual infusion phlebitis scale in a health information system. Online Journal of Nursing Informatics (OJNI), 26(3), https://www.himss.org/resources/online-journal-nursing-info...
Metaverse: Healthcare’s Next Frontier
Citation
McGonigle, C. and McGonigle, D. (2023). Metaverse: Healthcare’s next frontier. Online Journal of Nursing Informatics (OJNI), 26(3), https://www.himss.org/resources/online-journal-nursing-informatics
Abstract
Background: As we are making sense of adding the realities and...
Implementation Levels of Electronic Health Records and their Influence on Quality and Safety
Citation
Upadhyay, S. & Opoku-Agyeman, W. (2023). Implementatin levels of electronic health records and their influence on quality and safety. Online Journal of Nursing Informatics (OJNI), 26(3), https://www.himss.org/resources/online-journal-nursing-informatics
Abstract
Impro...
Using AI and Collaborative Workflows to Predict and Prevent Clinical Deterioration
Stanford Medicine embarked on a mission to bridge the gap in utilizing machine-learning (ML) models for enhancing care delivery, focusing on three fundamental challenges within the health system.
Use of Machine Learning, EHR Design and Reporting to Increase Advance Care Planning Conversations for Patients with Serious Illness
AI is not the solution itself but a part of a broader system that aims to improve ACP documentation rates across the healthcare enterprise, leading to patient-centered care delivery improvements.
Transforming the ED Fast Track to a Virtual Visit Track to Reduce Emergency Department Length of Stay
In response to longer wait times and overcrowding in the Emergency Department (ED), Stanford Medicine introduced a Virtual Visit Track (VVT) program in 2020, which was accelerated by the COVID-19 pandemic.
Amp It Up
The St. Luke's team overcame supply shortages and other obstacles, achieving an average turnaround time of 4.7 hours for COVID-19 testing in their new in-house molecular laboratory.