Artificial intelligence-based public healthcare systems: G2G knowledge-based exchange to enhance the decision-making process

OA Nasseef, AM Baabdullah, AA Alalwan, B Lal… - Government Information …, 2022 - Elsevier
With the rapid evolution of data over the last few years, many new technologies have arisen
with artificial intelligent (AI) technologies at the top. Artificial intelligence (AI), with its infinite …

The organic turn: coping with pandemic and non-pandemic challenges by integrating evidence-, theory-, experience-, and context-based knowledge in advising …

H Pfaff, J Schmitt - Frontiers in public health, 2021 - frontiersin.org
The COVID-19 pandemic has posed an extraordinary challenge for public health and health
policy. Questions have arisen concerning the main strategies to cope with this situation and …

[HTML][HTML] Exploring dominant factors for ensuring the sustainability of utilizing artificial intelligence in healthcare decision making: An emerging country context

SA Suha, TF Sanam - … Journal of Information Management Data Insights, 2023 - Elsevier
Healthcare decision-making is a complicated aspect that requires collaboration among
stakeholders, whilst ensuring its sustainability is essential for addressing the requirements of …

Artificial intelligence and decision-making in healthcare: a thematic analysis of a systematic review of reviews

M Khosravi, Z Zare… - … services research and …, 2024 - journals.sagepub.com
Introduction The use of artificial intelligence (AI), which can emulate human intelligence and
enhance clinical results, has grown in healthcare decision-making due to the digitalization …

A comprehensive study of artificial intelligence and machine learning approaches in confronting the coronavirus (COVID-19) pandemic

MM Rahman, F Khatun, A Uzzaman… - … Journal of Health …, 2021 - journals.sagepub.com
The novel coronavirus disease (COVID-19) has spread over 219 countries of the globe as a
pandemic, creating alarming impacts on health care, socioeconomic environments, and …

Organizational readiness for artificial intelligence in health care: insights for decision-making and practice

H Alami, P Lehoux, JL Denis, A Motulsky… - Journal of Health …, 2021 - emerald.com
Purpose Artificial intelligence (AI) raises many expectations regarding its ability to
profoundly transform health care delivery. There is an abundant literature on the technical …

[HTML][HTML] Implications of knowledge organization systems for health information exchange and communication during the COVID-19 pandemic

ML Zeng, Y Hong, J Clunis, S He… - Data and Information …, 2020 - Elsevier
This article aims to review the important roles of health knowledge organization systems
(KOSs) during the COVID-19 pandemic. Different types of knowledge organization systems …

Understanding the acceptance of business intelligence from healthcare professionals' perspective: An empirical study of healthcare organizations

AF Alkhwaldi - International Journal of Organizational Analysis, 2024 - emerald.com
Purpose Due to its ability to support well-informed decision-making, business intelligence
(BI) has grown in popularity among executives across a range of industries. However, given …

Artificial intelligence applications used in the clinical response to COVID-19: A scoping review

S Mann, CT Berdahl, L Baker, F Girosi - PLOS Digital Health, 2022 - journals.plos.org
Research into using artificial intelligence (AI) in health care is growing and several
observers predicted that AI would play a key role in the clinical response to the COVID-19 …

Stakeholders' views on the organisational factors affecting application of artificial intelligence in healthcare: a scoping review protocol

R Lebcir, T Hill, R Atun, M Cubric - BMJ open, 2021 - bmjopen.bmj.com
Introduction Artificial intelligence (AI) offers great potential for transforming healthcare
delivery leading to better patient-outcomes and more efficient care delivery. However …