MedKnowts: Unified Documentation and Information Retrieval for Electronic Health Records
Name
3472749.3474814.pdf
Description
Published version
Size
1.63 MB
Format
Adobe PDF
Checksum (MD5)
1fed281445bba47a748d0bafefa42246
Author(s)
Murray, Luke
Gopinath, Divya
Agrawal, Monica
Horng, Steven
Sontag, David
Karger, David R
Date Issued
October 10, 2021
Journal
The 34th Annual ACM Symposium on User Interface Software and Technology
Publisher
ACM
Citation
Murray, 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.
Version
Final published version
Abstract
Clinical 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.
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Massachusetts Institute of Technology. Institute for Medical Engineering & Science
Terms of Use
Creative Commons Attribution 4.0 International license
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1145/3472749.3474814
