<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>29(1)</volume><submitter>Nitayavardhana P</submitter><pubmed_abstract>&lt;h4>Background&lt;/h4>The manual entry of data into large patient databases requires significant resources and time. It is possible that a system that is enhanced with the technology of optical character recognition (OCR) can facilitate data entry, reduce data entry errors, and decrease the burden on healthcare personnel.&lt;h4>Methods&lt;/h4>This was a prospective multi-center observational study across intensive care units (ICU) in 3 countries. Subjects were critically-ill and required invasive mechanical ventilation and extracorporeal life support. Clinical photos from various medical devices were uploaded using an OCR-enhanced case record form. The degree of data completeness, data accuracy, and time saved in entering data were compared with conventional manual data entry.&lt;h4>Results&lt;/h4>The OC</pubmed_abstract><journal>Critical care (London, England)</journal><pagination>117</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC11917072</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Streamlining data recording through optical character recognition: a prospective multi-center study in intensive care units.</pubmed_title><pmcid>PMC11917072</pmcid><pubmed_authors>Fujisawa M</pubmed_authors><pubmed_authors>Liu K</pubmed_authors><pubmed_authors>Iwamoto Y</pubmed_authors><pubmed_authors>Fraser JF</pubmed_authors><pubmed_authors>Suen JY</pubmed_authors><pubmed_authors>Nitayavardhana P</pubmed_authors><pubmed_authors>Tominaga A</pubmed_authors><pubmed_authors>Ng PY</pubmed_authors><pubmed_authors>Goto T</pubmed_authors><pubmed_authors>Fukaguchi K</pubmed_authors><pubmed_authors>Koike I</pubmed_authors></additional><is_claimable>false</is_claimable><name>Streamlining data recording through optical character recognition: a prospective multi-center study in intensive care units.</name><description>&lt;h4>Background&lt;/h4>The manual entry of data into large patient databases requires significant resources and time. It is possible that a system that is enhanced with the technology of optical character recognition (OCR) can facilitate data entry, reduce data entry errors, and decrease the burden on healthcare personnel.&lt;h4>Methods&lt;/h4>This was a prospective multi-center observational study across intensive care units (ICU) in 3 countries. Subjects were critically-ill and required invasive mechanical ventilation and extracorporeal life support. Clinical photos from various medical devices were uploaded using an OCR-enhanced case record form. The degree of data completeness, data accuracy, and time saved in entering data were compared with conventional manual data entry.&lt;h4>Results&lt;/h4>The OC</description><dates><release>2025-01-01T00:00:00Z</release><publication>2025 Mar</publication><modification>2025-04-22T07:26:24.324Z</modification><creation>2025-04-22T07:26:24.324Z</creation></dates><accession>S-EPMC11917072</accession><cross_references><pubmed>40102894</pubmed><doi>10.1186/s13054-025-05347-1</doi></cross_references></HashMap>