English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

The use of AI in healthcare is designed to improve care delivery and augmentthe decisions of providers to enhance patient outcomes. When deployed inclinical settings, the interaction between providers and AI is a criticalcomponent for measuring and understanding the effectiveness of these digitaltools on broader health outcomes. Even in cases where AI algorithms have highdiagnostic accuracy, healthcare providers often still rely on their experienceand sometimes gut feeling to make a final decision. Other times, providers relyunquestioningly on the outputs of the AI models, which leads to a concern aboutover-reliance on the technology. The purpose of this research was to understandhow reliant drug shop dispensers were on AI-powered technologies whendetermining a differential diagnosis for a presented clinical case vignette. Weexplored how the drug dispensers responded to technology that is framed asalways correct in an attempt to measure whether they begin to rely on itwithout any critical thought of their own. We found that dispensers relied onthe decision made by the AI 25 percent of the time, even when the AI providedno explanation for its decision.

Understanding how the use of AI decision support tools affect critical thinking and over-reliance on technology by drug dispensers in Tanzania