Navigating AI unpredictability: Exploring technostress in AI-powered healthcare systems

The adoption of AI-powered systems in healthcare has revolutionized the field by introducing autonomous diagnostics and predictions, though it remains a source of debate due to its disruptive nature. This research utilizes the holistic model of stress to empirically examine the effects of six techno...

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Bibliographic Details
Published inTechnological forecasting & social change Vol. 202; p. 123311
Main Authors Issa, Helmi, Jaber, Jad, Lakkis, Hussein
Format Journal Article
LanguageEnglish
Published Elsevier Inc 01.05.2024
Subjects
AI-powered systems
Healthcare
Techno-stressors
Techno-unpredictability
Techno-unpredictability
Healthcare
AI-powered systems
Techno-stressors
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Summary:The adoption of AI-powered systems in healthcare has revolutionized the field by introducing autonomous diagnostics and predictions, though it remains a source of debate due to its disruptive nature. This research utilizes the holistic model of stress to empirically examine the effects of six techno-stressors on both techno-eustress and techno-distress among users in the healthcare sector. Data for this research was collected from 224 participants through an e-survey distributed across diverse sources. The findings reveal intriguing insights, highlighting the emergence of techno-unpredictability as a potential new techno-stressor within the context of AI-powered systems in healthcare. With this newfound understanding, healthcare specialists and organizations can stay one step ahead, better equipped to address and navigate the complexities of emerging stressors for enhanced well-being, patient care and safety. •This research explores the transformative impact of AI-powered systems in healthcare, emphasizing their potential to modernize diagnostics and treatment processes;•The study investigates how healthcare professionals and practitioners experience techno-stressors when using AI algorithms, introducing a novel stressor called "techno-unpredictability";•The research highlights the coexistence of techno-eustress (positive stress) and techno-distress (negative stress) among users engaging with AI algorithms in healthcare;•This study contributes to the field by addressing the unique challenges posed by AI's unpredictability, offering insights through an innovative "interactional-based" approach.
ISSN:0040-1625
DOI:10.1016/j.techfore.2024.123311