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dc.contributor.authorMurray, Luke
dc.contributor.authorGopinath, Divya
dc.contributor.authorAgrawal, Monica
dc.contributor.authorHorng, Steven
dc.contributor.authorSontag, David
dc.contributor.authorKarger, David R
dc.date.accessioned2022-07-20T16:23:56Z
dc.date.available2022-07-20T16:23:56Z
dc.date.issued2021-10-10
dc.identifier.urihttps://hdl.handle.net/1721.1/143893
dc.description.abstractClinical documentation can be transformed by Electronic Health Records, yet the documentation process is still a tedious, time-consuming, and error-prone process. Clinicians are faced with multi-faceted requirements and fragmented interfaces for information exploration and documentation. These challenges are only exacerbated in the Emergency Department -- clinicians often see 35 patients in one shift, during which they have to synthesize an often previously unknown patient's medical records in order to reach a tailored diagnosis and treatment plan. To better support this information synthesis, clinical documentation tools must enable rapid contextual access to the patient's medical record. MedKnowts is an integrated note-taking editor and information retrieval system which unifies the documentation and search process and provides concise synthesized concept-oriented slices of the patient's medical record. MedKnowts automatically captures structured data while still allowing users the flexibility of natural language. MedKnowts leverages this structure to enable easier parsing of long notes, auto-populated text, and proactive information retrieval, easing the documentation burden.en_US
dc.language.isoen
dc.publisherACMen_US
dc.relation.isversionof10.1145/3472749.3474814en_US
dc.rightsCreative Commons Attribution 4.0 International licenseen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.sourceACMen_US
dc.titleMedKnowts: Unified Documentation and Information Retrieval for Electronic Health Recordsen_US
dc.typeArticleen_US
dc.identifier.citationMurray, Luke, Gopinath, Divya, Agrawal, Monica, Horng, Steven, Sontag, David et al. 2021. "MedKnowts: Unified Documentation and Information Retrieval for Electronic Health Records." The 34th Annual ACM Symposium on User Interface Software and Technology.
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
dc.contributor.departmentMassachusetts Institute of Technology. Institute for Medical Engineering & Science
dc.relation.journalThe 34th Annual ACM Symposium on User Interface Software and Technologyen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dc.date.updated2022-07-20T16:20:21Z
dspace.orderedauthorsMurray, L; Gopinath, D; Agrawal, M; Horng, S; Sontag, D; Karger, DRen_US
dspace.date.submission2022-07-20T16:20:22Z
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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