Artificial intelligence has been widely pitched as a way to lighten the load on overworked clinicians — drafting notes, summarizing records, and handling routine paperwork so physicians can spend more time with patients. A new report complicates that promise.
According to jordannews.jo, citing a study, artificial intelligence tools are wasting doctors' time rather than making their work more efficient. The outlet's report, surfaced via Google News, frames the finding as a direct challenge to one of the central selling points behind the rapid push to bring AI into hospitals and clinics.
The available source does not detail which specific tools were examined, how the study was conducted, or how much time was reportedly lost. What it does signal is a growing note of skepticism about whether the current generation of medical AI actually delivers the productivity gains its backers claim.
That tension matters because health systems around the world are investing heavily in AI-assisted documentation, diagnostics, and administrative tools, often on the assumption that automation will ease clinician burnout and free up scarce hours. If, as this study reportedly suggests, some of these tools instead add friction — requiring doctors to check, correct, or wrangle with them — the business case starts to look shakier.
Because only a single, brief source is available here, these claims should be read as a starting point rather than a settled conclusion; the underlying study's scope and methods remain unstated in the reporting at hand.
Why it matters: if AI is quietly costing doctors time instead of saving it, hospitals may be paying for technology that undercuts the very efficiency it was bought to deliver.