Identification of Child Survivors of Sex Trafficking From Electronic Health Records: An Artificial Intelligence Guided Approach.

IF 4.5 2区社会学 Q1 FAMILY STUDIES

Child Maltreatment Pub Date : 2024-11-01 Epub Date: 2023-08-06 DOI:10.1177/10775595231194599

Aaron W Murnan, Jennifer J Tscholl, Rajesh Ganta, Henry O Duah, Islam Qasem, Emre Sezgin

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引用次数: 0

Abstract

Survivors of child sex trafficking (SCST) experience high rates of adverse health outcomes. Amidst the duration of their victimization, survivors regularly seek healthcare yet fail to be identified. This study sought to utilize artificial intelligence (AI) to identify SCST and describe the elements of their healthcare presentation. An AI-supported keyword search was conducted to identify SCST within the electronic medical records (EMR) of ∼1.5 million patients at a large midwestern pediatric hospital. Descriptive analyses were used to evaluate associated diagnoses and clinical presentation. A sex trafficking-related keyword was identified in .18% of patient charts. Among this cohort, the most common associated diagnostic codes were for Confirmed Sexual/Physical Assault; Trauma and Stress-Related Disorders; Depressive Disorders; Anxiety Disorders; and Suicidal Ideation. Our findings are consistent with the myriad of known adverse physical and psychological outcomes among SCST and illuminate the future potential of AI technology to improve screening and research efforts surrounding all aspects of this vulnerable population.

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从电子健康记录中识别性贩运儿童幸存者：人工智能指导方法。

儿童性贩卖（SCST）幸存者的不良健康后果发生率很高。在受害期间，幸存者会定期寻求医疗保健服务，但却未能被识别出来。本研究试图利用人工智能（AI）来识别儿童性贩卖幸存者，并描述其医疗保健表现的要素。在一家大型中西部儿科医院的 150 万名患者的电子病历（EMR）中进行了人工智能支持的关键词搜索，以识别 SCST。描述性分析用于评估相关诊断和临床表现。在 0.18% 的病历中发现了与性交易相关的关键词。在这批患者中，最常见的相关诊断代码为确认的性/人身攻击、创伤和压力相关障碍、抑郁障碍、焦虑障碍和自杀意念。我们的研究结果与 SCST 中无数已知的不良生理和心理后果相一致，并阐明了人工智能技术未来在改善围绕这一弱势群体各个方面的筛查和研究工作方面的潜力。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Child Maltreatment Multiple-

CiteScore

6.80

自引率

7.80%

发文量

期刊介绍： Child Maltreatment is the official journal of the American Professional Society on the Abuse of Children (APSAC), the nation"s largest interdisciplinary child maltreatment professional organization. Child Maltreatment"s object is to foster professional excellence in the field of child abuse and neglect by reporting current and at-issue scientific information and technical innovations in a form immediately useful to practitioners and researchers from mental health, child protection, law, law enforcement, medicine, nursing, and allied disciplines. Child Maltreatment emphasizes perspectives with a rigorous scientific base that are relevant to policy, practice, and research.