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Bootstrapping a de-identification system for narrative patient records: Cost-performance tradeoffs.

, , , , , , and . Int. J. Medical Informatics, 82 (9): 821-831 (2013)

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International electronic health record-derived post-acute sequelae profiles of COVID-19 patients., , , , , , , , , and 48 other author(s). npj Digit. Medicine, (2022)Phenotype risk scores (PheRS) for pancreatic cancer using time-stamped electronic health record data: Discovery and validation in two large biobanks., , , , , , , and . J. Biomed. Informatics, (2021)Validation of an internationally derived patient severity phenotype to support COVID-19 analytics from electronic health record data., , , , , , , , , and 31 other author(s). J. Am. Medical Informatics Assoc., 28 (7): 1411-1420 (2021)Transition and Reflection in the Use of Health Information: The Case of Pediatric Bone Marrow Transplant Caregivers., , , , , and . CSCW, page 1763-1774. ACM, (2015)Dialogue Analysis for Clinical Data Query Mediation., , , and . MedInfo, volume 264 of Studies in Health Technology and Informatics, page 1398-1402. IOS Press, (2019)Numerical Age Variations within Clinical Notes: The Potential Impact on De-Identification and Information Extraction., , , , , and . ICHI Workshops, page 66-67. IEEE Computer Society, (2018)Cooperative documentation: the patient problem list as a nexus in electronic health records., , , and . CSCW, page 911-920. ACM, (2012)Using the time and motion method to study clinical work processes and workflow: methodological inconsistencies and a call for standardized research., , and . JAMIA, 18 (5): 704-710 (2011)Handling anticipated exceptions in clinical care: investigating clinician use of 'exit strategies' in an electronic health records system., , , , , , , and . JAMIA, 18 (6): 883-889 (2011)Identifying unmet informational needs in the inpatient setting to increase patient and caregiver engagement in the context of pediatric hematopoietic stem cell transplantation., , , and . JAMIA, 23 (1): 94-104 (2016)