2024
Ascle—A Python Natural Language Processing Toolkit for Medical Text Generation: Development and Evaluation Study
Yang R, Zeng Q, You K, Qiao Y, Huang L, Hsieh C, Rosand B, Goldwasser J, Dave A, Keenan T, Ke Y, Hong C, Liu N, Chew E, Radev D, Lu Z, Xu H, Chen Q, Li I. Ascle—A Python Natural Language Processing Toolkit for Medical Text Generation: Development and Evaluation Study. Journal Of Medical Internet Research 2024, 26: e60601. PMID: 39361955, PMCID: PMC11487205, DOI: 10.2196/60601.Peer-Reviewed Original ResearchConceptsNatural language processingNatural language processing toolkitQuestion-answering taskLanguage modelText generationText processingDomain-specific language modelsNatural language processing functionsMinimal programming expertiseText generation tasksMedical knowledge graphMachine translation tasksROUGE-L scoreDomain-specific challengesAll-in-one solutionROUGE-LText summarizationBLEU scoreKnowledge graphMachine translationUnstructured textQuestion-answeringHugging FaceProcessing toolkitLanguage processing
2011
Data from clinical notes: a perspective on the tension between structure and flexible documentation
Rosenbloom S, Denny J, Xu H, Lorenzi N, Stead W, Johnson K. Data from clinical notes: a perspective on the tension between structure and flexible documentation. Journal Of The American Medical Informatics Association 2011, 18: 181-186. PMID: 21233086, PMCID: PMC3116264, DOI: 10.1136/jamia.2010.007237.Peer-Reviewed Original ResearchConceptsReusable dataElectronic health record system adoptionStructured documentationComputer-based documentation systemsClinical notesClinical documentationStructured dataText processingSystem adoptionRecord systemSuch systemsDocumentation systemWorkflowContent needsProvidersUsabilityDocumentationExpressivitySystemHealthcare providersPatient careDataProcessingMajor goalAdoption