Automated Extraction of Structured Data from Text Notes in the Electronic Medical Record
J Gen Intern Med
.
2021 Sep;36(9):2880-2882.
doi: 10.1007/s11606-020-06110-8.
Epub 2020 Aug 31.
Authors
Alexander C Flint
1
2
,
Ronald B Melles
3
,
Jeff G Klingman
4
,
Sheila L Chan
5
,
Vivek A Rao
5
,
Andrew L Avins
6
7
Affiliations
1
Department of Neuroscience, Kaiser Permanente, 1150 Veterans Blvd, Redwood City, California, CA, 94025, USA. alexander.c.flint@kp.org.
2
Division of Research, Kaiser Permanente Northern California , Oakland, CA, USA. alexander.c.flint@kp.org.
3
Department of Ophthalmology, Kaiser Permanente, Redwood City, CA, USA.
4
Department of Neurology, Kaiser Permanente, Walnut Creek, CA, USA.
5
Department of Neuroscience, Kaiser Permanente, 1150 Veterans Blvd, Redwood City, California, CA, 94025, USA.
6
Division of Research, Kaiser Permanente Northern California , Oakland, CA, USA.
7
Departments of Medicine and Epidemiology & Biostatistics, University of California, San Francisco, CA, USA.
PMID:
32865768
PMCID:
PMC8390612
DOI:
10.1007/s11606-020-06110-8
No abstract available
MeSH terms
Electronic Health Records*
Humans
Natural Language Processing
Text Messaging*