<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>14(4)</volume><submitter/><funding>King Saud University, Riyadh, Kingdom of Saudi Arabia</funding><journal>Healthcare (Basel, Switzerland)</journal><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12940217</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Time Burden of Electronic Medical Records on Nurses and Physicians in Saudi Arabia: Occurrence, Predictors, and Challenges—A Mixed-Methods Study</pubmed_title><pmcid>PMC12940217</pmcid><funding_grant_id>ORF-2026-879</funding_grant_id></additional><is_claimable>false</is_claimable><name>Time Burden of Electronic Medical Records on Nurses and Physicians in Saudi Arabia: Occurrence, Predictors, and Challenges—A Mixed-Methods Study</name><description/><dates><release>2026-01-01T00:00:00Z</release><publication>2026 Feb</publication><modification>2026-07-11T03:18:18.58Z</modification><creation>2026-07-11T03:12:00.767Z</creation></dates><accession>S-EPMC12940217</accession><cross_references/></HashMap>