Identification of Persistent Postoperative Opioid Use from Clinical Notes via a Natural Language Processing Engine

被引：0
|
作者：
Seng, Eri [1 ]
Mehdipour, Soraya [1 ]
Simpson, Sierra [2 ]
Gabriel, Rodney [2 ]
机构：
[1] Univ Calif San Diego, Sch Med, San Diego, CA USA
[2] Univ Calif San Diego, San Diego, CA USA
来源：
ANESTHESIA AND ANALGESIA | 2023年 / 136卷
关键词：
D O I：
暂无
中图分类号：
R614 [麻醉学];
学科分类号：
100217 ;
摘要：
引用
收藏
页码：649 / 651
页数：3
相关论文
共 50 条
  • [1] Tracking persistent postoperative opioid use: a proof-of-concept study demonstrating a use case for natural language processing
    Seng, Eri C.
    Mehdipour, Soraya
    Simpson, Sierra
    Gabriel, Rodney A.
    [J]. REGIONAL ANESTHESIA AND PAIN MEDICINE, 2024, 49 (04) : 241 - 247
  • [2] Natural language processing of clinical notes for identification of critical limb ischemia
    Afzal, Naveed
    Mallipeddi, Vishnu Priya
    Sohn, Sunghwan
    Liu, Hongfang
    Chaudhry, Rajeev
    Scott, Christopher G.
    Kullo, Iftikhar J.
    Arruda-Olson, Adelaide M.
    [J]. INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS, 2018, 111 : 83 - 89
  • [3] Use of natural language processing method to identify regional anesthesia from clinical notes
    Graham, Laura A.
    Illarmo, Samantha S.
    Wren, Sherry M.
    Odden, Michelle C.
    Mudumbai, Seshadri C.
    [J]. REGIONAL ANESTHESIA AND PAIN MEDICINE, 2024,
  • [4] Leveraging a Natural Language Processing Model (Transformers) on Electronic Medical Record Notes to Classify Persistent Opioid Use After Surgery
    Gabriel, Rodney A.
    Park, Brian H.
    Mehdipour, Soraya
    Bongbong, Dale N.
    Simpson, Sierra
    Waterman, Ruth S.
    [J]. ANESTHESIA AND ANALGESIA, 2023, 137 (03): : 714 - 716
  • [5] Identification of pancreatic cancer risk factors from clinical notes using natural language processing
    Sarwal, Dhruv
    Wang, Liwei
    Gandhi, Sonal
    Pour, Elham Sagheb Hossein
    Janssens, Laurens P.
    Delgado, Adriana M.
    Doering, Karen A.
    Mishra, Anup Kumar
    Greenwood, Jason D.
    Liu, Hongfang
    Majumder, Shounak
    [J]. PANCREATOLOGY, 2024, 24 (04) : 572 - 578
  • [6] Developing a Framework to Infer Opioid Use Disorder Severity From Clinical Notes to Inform Natural Language Processing Methods: Characterization Study
    Poulsen, Melissa N.
    Freda, Philip J.
    Troiani, Vanessa
    Mowery, Danielle L.
    [J]. JMIR MENTAL HEALTH, 2024, 11
  • [7] Persistent Postoperative Opioid Use: Progressing From Risk Identification to Risk Reduction
    Jivraj, Naheed K.
    Sun, Eric
    Dunn, Lauren K.
    Shanthanna, Harsha
    [J]. ANESTHESIA AND ANALGESIA, 2024, 139 (04): : 683 - 686
  • [8] A Comparison of Veterans with Problematic Opioid Use Identified through Natural Language Processing of Clinical Notes versus Using Diagnostic Codes
    Workman, Terri Elizabeth
    Kupersmith, Joel
    Ma, Phillip
    Spevak, Christopher
    Sandbrink, Friedhelm
    Cheng, Yan
    Zeng-Treitler, Qing
    [J]. HEALTHCARE, 2024, 12 (07)
  • [9] Refinement of a Generalized Natural Language Processing Algorithm for the Identification of Clinical Terms from Free-Text Clinical Notes
    Nunes, Anthony P.
    Mortimer, Kathleen M.
    Loughlin, Jeanne
    Wang, Florence T.
    Dore, David D.
    [J]. PHARMACOEPIDEMIOLOGY AND DRUG SAFETY, 2015, 24 : 536 - 537
  • [10] Tobacco use status from clinical notes using Natural Language Processing and rule based algorithm
    Hegde, Harshad
    Shimpi, Neel
    Glurich, Ingrid
    Acharya, Amit
    [J]. TECHNOLOGY AND HEALTH CARE, 2018, 26 (03) : 445 - 456
12345