Participatory Design of a Clinical Trial Eligibility Criteria Simplification Method

被引：5

作者：

Fang, Yilu ^{[1
]}

Kim, Jae Hyun ^{[1
]}

Idnay, Betina Ross ^{[2
,3
]}

Garcia, Rebeca Aragon ^{[3
]}

Castillo, Carmen E. ^{[3
]}

Sun, Yingcheng ^{[1
]}

Liu, Hao ^{[1
]}

Liu, Cong ^{[1
]}

Yuan, Chi ^{[1
]}

Weng, Chunhua ^{[1
]}

机构：

[1] Columbia Univ, Dept Biomed Informat, New York, NY USA

[2] Columbia Univ, Sch Nursing, New York, NY USA

[3] Columbia Univ, Dept Neurol, New York, NY USA

来源：

PUBLIC HEALTH AND INFORMATICS, PROCEEDINGS OF MIE 2021 | 2021年 / 281卷

关键词：

named entity recognition; concept mapping; intelligence augmentation;

D O I：

10.3233/SHTI210325

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Clinical trial eligibility criteria are important for selecting the right participants for clinical trials. However, they are often complex and not computable. This paper presents the participatory design of a human-computer collaboration method for criteria simplification that includes natural language processing followed by user-centered eligibility criteria simplification. A case study on the ARCADIA trial shows how criteria were simplified for structured database querying by clinical researchers and identifies rules for criteria simplification and concept normalization.

引用

页码：984 / 988

页数：5

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