[HTML][HTML] Role of artificial intelligence in patient safety outcomes: systematic literature review

A Choudhury, O Asan - JMIR medical informatics, 2020 - medinform.jmir.org
Background: Artificial intelligence (AI) provides opportunities to identify the health risks of
patients and thus influence patient safety outcomes. Objective: The purpose of this …

Adopting and expanding ethical principles for generative artificial intelligence from military to healthcare

D Oniani, J Hilsman, Y Peng, RK Poropatich… - NPJ Digital …, 2023 - nature.com
In 2020, the US Department of Defense officially disclosed a set of ethical principles to guide
the use of Artificial Intelligence (AI) technologies on future battlefields. Despite stark …

Registered nurses' approach to pressure injury prevention: A descriptive qualitative study

Z Li, AP Marshall, F Lin, Y Ding… - Journal of advanced …, 2022 - Wiley Online Library
Abstract Aims To explore Registered Nurses' approaches to pressure injury prevention,
including how they perceive their roles, how they prioritize pressure injury prevention and …

Use of machine learning in geriatric clinical care for chronic diseases: a systematic literature review

A Choudhury, E Renjilian, O Asan - JAMIA open, 2020 - academic.oup.com
Objectives Geriatric clinical care is a multidisciplinary assessment designed to evaluate
older patients'(age 65 years and above) functional ability, physical health, and cognitive well …

[HTML][HTML] Artificial intelligence in the field of pharmacy practice: A literature review

SH Chalasani, J Syed, M Ramesh, V Patil… - Exploratory Research in …, 2023 - Elsevier
Artificial intelligence (AI) is a transformative technology used in various industrial sectors
including healthcare. In pharmacy practice, AI has the potential to significantly improve …

[HTML][HTML] Toward an ecologically valid conceptual framework for the use of artificial intelligence in clinical settings: need for systems thinking, accountability, decision …

A Choudhury - JMIR Human Factors, 2022 - humanfactors.jmir.org
The health care management and the medical practitioner literature lack a descriptive
conceptual framework for understanding the dynamic and complex interactions between …

From military to Healthcare: adopting and expanding ethical principles for Generative artificial intelligence

D Oniani, J Hilsman, Y Peng, RK Poropatich… - arXiv preprint arXiv …, 2023 - arxiv.org
In 2020, the US Department of Defense officially disclosed a set of ethical principles to guide
the use of Artificial Intelligence (AI) technologies on future battlefields. Despite stark …

Machine learning models to detect and predict patient safety events using electronic health records: a systematic review

G Deimazar, A Sheikhtaheri - International Journal of Medical Informatics, 2023 - Elsevier
Introduction Identifying patient safety events using electronic health records (EHRs) and
automated machine learning-based detection methods can help improve the efficiency and …

[HTML][HTML] Interactive digital health tools to engage patients and caregivers in discharge preparation: implementation study

TE Fuller, DD Pong, N Piniella, M Pardo… - Journal of medical …, 2020 - jmir.org
Background Poor discharge preparation during hospitalization may lead to adverse events
after discharge. Checklists and videos that systematically engage patients in preparing for …

Application of human factors to improve usability of clinical decision support for diagnostic decision-making: a scenario-based simulation study

P Carayon, P Hoonakker, AS Hundt… - BMJ quality & …, 2020 - qualitysafety.bmj.com
Objective In this study, we used human factors (HF) methods and principles to design a
clinical decision support (CDS) that provides cognitive support to the pulmonary embolism …