<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Trinkley KE</submitter><funding>NIDDK NIH HHS</funding><funding>NHLBI NIH HHS</funding><funding>NCI NIH HHS</funding><pagination>1447-1458</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9547828</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>97(10)</volume><pubmed_abstract>Many health systems are working to become learning health systems (LHSs), which aim to improve the value of health care by rapidly, continuously generating evidence to apply to practice. However, challenges remain to advance toward the aspirational goal of becoming a fully mature LHS. While some important challenges have been well described (i.e., building system-level supporting infrastructure and the accessibility of inclusive, integrated, and actionable data), other key challenges are underrecognized, including balancing evaluation rapidity with rigor, applying principles of health equity and classic ethics, focusing on external validity and reproducibility (generalizability), and designing for sustainability. Many LHSs focus on continuous learning cycles, but with limited consideration</pubmed_abstract><journal>Academic medicine : journal of the Association of American Medical Colleges</journal><pubmed_title>How Dissemination and Implementation Science Can Contribute to the Advancement of Learning Health Systems.</pubmed_title><pmcid>PMC9547828</pmcid><funding_grant_id>R25 DK123008</funding_grant_id><funding_grant_id>P50 CA244688</funding_grant_id><funding_grant_id>K12 HL137862</funding_grant_id><funding_grant_id>K23 HL161352</funding_grant_id><pubmed_authors>Huebschmann AG</pubmed_authors><pubmed_authors>Glasgow RE</pubmed_authors><pubmed_authors>Trinkley KE</pubmed_authors><pubmed_authors>Ho PM</pubmed_authors></additional><is_claimable>false</is_claimable><name>How Dissemination and Implementation Science Can Contribute to the Advancement of Learning Health Systems.</name><description>Many health systems are working to become learning health systems (LHSs), which aim to improve the value of health care by rapidly, continuously generating evidence to apply to practice. However, challenges remain to advance toward the aspirational goal of becoming a fully mature LHS. While some important challenges have been well described (i.e., building system-level supporting infrastructure and the accessibility of inclusive, integrated, and actionable data), other key challenges are underrecognized, including balancing evaluation rapidity with rigor, applying principles of health equity and classic ethics, focusing on external validity and reproducibility (generalizability), and designing for sustainability. Many LHSs focus on continuous learning cycles, but with limited consideration</description><dates><release>2022-01-01T00:00:00Z</release><publication>2022 Oct</publication><modification>2025-04-05T09:43:04.363Z</modification><creation>2025-04-05T09:43:04.363Z</creation></dates><accession>S-EPMC9547828</accession><cross_references><pubmed>35796045</pubmed><doi>10.1097/acm.0000000000004801</doi><doi>10.1097/ACM.0000000000004801</doi></cross_references></HashMap>