PMID- 38289670
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20240216
IS  - 2291-9694 (Print)
IS  - 2291-9694 (Electronic)
VI  - 12
DP  - 2024 Jan 30
TI  - Using a Natural Language Processing Approach to Support Rapid Knowledge 
      Acquisition.
PG  - e53516
LID - 10.2196/53516 [doi]
LID - e53516
AB  - Implementing artificial intelligence to extract insights from large, real-world 
      clinical data sets can supplement and enhance knowledge management efforts for 
      health sciences research and clinical care. At Vanderbilt University Medical 
      Center (VUMC), the in-house developed Word Cloud natural language processing 
      system extracts coded concepts from patient records in VUMC's electronic health 
      record repository using the Unified Medical Language System terminology. Through 
      this process, the Word Cloud extracts the most prominent concepts found in the 
      clinical documentation of a specific patient or population. The Word Cloud 
      provides added value for clinical care decision-making and research. This 
      viewpoint paper describes a use case for how the VUMC Center for Knowledge 
      Management leverages the condition-disease associations represented by the Word 
      Cloud to aid in the knowledge generation needed to inform the interpretation of 
      phenome-wide association studies.
CI  - (c)Taneya Y Koonce, Dario A Giuse, Annette M Williams, Mallory N Blasingame, Poppy 
      A Krump, Jing Su, Nunzia B Giuse. Originally published in JMIR Medical 
      Informatics (https://medinform.jmir.org), 30.01.2024.
FAU - Koonce, Taneya Y
AU  - Koonce TY
AUID- ORCID: 0000-0002-4014-467X
AD  - Center for Knowledge Management, Vanderbilt University Medical Center, Nashville, 
      TN, United States.
FAU - Giuse, Dario A
AU  - Giuse DA
AUID- ORCID: 0000-0002-2677-6734
AD  - Department of Biomedical Informatics, Vanderbilt University School of Medicine, 
      Vanderbilt University Medical Center, Nashville, TN, United States.
FAU - Williams, Annette M
AU  - Williams AM
AUID- ORCID: 0000-0002-2526-3857
AD  - Center for Knowledge Management, Vanderbilt University Medical Center, Nashville, 
      TN, United States.
FAU - Blasingame, Mallory N
AU  - Blasingame MN
AUID- ORCID: 0000-0003-0356-9481
AD  - Center for Knowledge Management, Vanderbilt University Medical Center, Nashville, 
      TN, United States.
FAU - Krump, Poppy A
AU  - Krump PA
AUID- ORCID: 0000-0002-3081-6487
AD  - Center for Knowledge Management, Vanderbilt University Medical Center, Nashville, 
      TN, United States.
FAU - Su, Jing
AU  - Su J
AUID- ORCID: 0000-0001-6699-6806
AD  - Center for Knowledge Management, Vanderbilt University Medical Center, Nashville, 
      TN, United States.
FAU - Giuse, Nunzia B
AU  - Giuse NB
AUID- ORCID: 0000-0002-7644-9803
AD  - Center for Knowledge Management, Vanderbilt University Medical Center, Nashville, 
      TN, United States.
AD  - Department of Biomedical Informatics, Vanderbilt University School of Medicine, 
      Vanderbilt University Medical Center, Nashville, TN, United States.
LA  - eng
PT  - Journal Article
DEP - 20240130
PL  - Canada
TA  - JMIR Med Inform
JT  - JMIR medical informatics
JID - 101645109
PMC - PMC10865202
OTO - NOTNLM
OT  - NLP
OT  - data mining
OT  - electronic health records
OT  - knowledge management
OT  - machine learning
OT  - natural language processing
COIS- Conflicts of Interest: None declared.
EDAT- 2024/01/30 12:42
MHDA- 2024/01/30 12:43
PMCR- 2024/01/30
CRDT- 2024/01/30 11:54
PHST- 2023/10/10 00:00 [received]
PHST- 2024/01/04 00:00 [accepted]
PHST- 2023/12/15 00:00 [revised]
PHST- 2024/01/30 12:43 [medline]
PHST- 2024/01/30 12:42 [pubmed]
PHST- 2024/01/30 11:54 [entrez]
PHST- 2024/01/30 00:00 [pmc-release]
AID - v12i1e53516 [pii]
AID - 10.2196/53516 [doi]
PST - epublish
SO  - JMIR Med Inform. 2024 Jan 30;12:e53516. doi: 10.2196/53516.