干旱区生态环境知识资源中心(Arid): Exploring prevalence of wound infections and related patient characteristics in homecare using natural language processing

Arid

DOI	10.1111/iwj.13623
	Exploring prevalence of wound infections and related patient characteristics in homecare using natural language processing
	Woo, Kyungmi; Song, Jiyoun; Adams, Victoria; Block, Lorraine J.; Currie, Leanne M.; Shang, Jingjing; Topaz, Maxim
通讯作者	Woo, K (corresponding author), Seoul Natl Univ, Res Inst Nursing Sci, Coll Nursing, 103 Daehak Ro, Seoul 03080, South Korea.
来源期刊	INTERNATIONAL WOUND JOURNAL
ISSN	1742-4801
EISSN	1742-481X
出版年	2021-06
英文摘要	We aimed to create and validate a natural language processing algorithm to extract wound infection-related information from nursing notes. We also estimated wound infection prevalence in homecare settings and described related patient characteristics. In this retrospective cohort study, a natural language processing algorithm was developed and validated against a gold standard testing set. Cases with wound infection were identified using the algorithm and linked to Outcome and Assessment Information Set data to identify related patient characteristics. The final version of the natural language processing vocabulary contained 3914 terms and expressions related to the presence of wound infection. The natural language processing algorithm achieved overall good performance (F-measure = 0.88). The presence of wound infection was documented for 1.03% (n = 602) of patients without wounds, for 5.95% (n = 3232) of patients with wounds, and 19.19% (n = 152) of patients with wound-related hospitalisation or emergency department visits. Diabetes, peripheral vascular disease, and skin ulcer were significantly associated with wound infection among homecare patients. Our findings suggest that nurses frequently document wound infection-related information. The use of natural language processing demonstrated that valuable information can be extracted from nursing notes which can be used to improve our understanding of the care needs of people receiving homecare. By linking findings from clinical nursing notes with additional structured data, we can analyse related patients' characteristics and use them to develop a tailored intervention that may potentially lead to reduced wound infection-related hospitalizations.
英文关键词	natural language processing (NLP) wound infection home health care nursing notes Outcome and Assessment Information Set (OASIS)
类型	Article ; Early Access
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000659088800001
WOS关键词	PRESSURE ULCERS ; HEALTH ; INFORMATION ; RISK ; TEXT
WOS类目	Dermatology ; Surgery
WOS研究方向	Dermatology ; Surgery
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/352287
作者单位	[Woo, Kyungmi] Seoul Natl Univ, Coll Nursing, Seoul, South Korea; [Song, Jiyoun; Shang, Jingjing; Topaz, Maxim] Columbia Univ, Sch Nursing, New York, NY USA; [Adams, Victoria; Topaz, Maxim] Visiting Nurse Serv New York, New York, NY USA; [Block, Lorraine J.; Currie, Leanne M.] Univ British Columbia, Sch Nursing, Vancouver, BC, Canada; [Topaz, Maxim] Columbia Univ, Data Sci Inst, New York, NY USA
推荐引用方式 GB/T 7714	Woo, Kyungmi,Song, Jiyoun,Adams, Victoria,et al. Exploring prevalence of wound infections and related patient characteristics in homecare using natural language processing[J],2021.
APA	Woo, Kyungmi.,Song, Jiyoun.,Adams, Victoria.,Block, Lorraine J..,Currie, Leanne M..,...&Topaz, Maxim.(2021).Exploring prevalence of wound infections and related patient characteristics in homecare using natural language processing.INTERNATIONAL WOUND JOURNAL.
MLA	Woo, Kyungmi,et al."Exploring prevalence of wound infections and related patient characteristics in homecare using natural language processing".INTERNATIONAL WOUND JOURNAL (2021).