{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,21]],"date-time":"2026-10-21T16:18:48Z","timestamp":1792599528900,"version":"4.5.0"},"reference-count":50,"publisher":"Oxford University Press (OUP)","issue":"3","license":[{"start":{"date-parts":[[2022,1,13]],"date-time":"2022-01-13T00:00:00Z","timestamp":1642032000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"funder":[{"name":"Data Science Institute Seed Funds Program at Columbia University"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,1,29]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Child abuse and neglect are public health issues impacting communities throughout the United States. The broad adoption of electronic health records (EHR) in health care supports the development of machine learning\u2013based models to help identify child abuse and neglect. Employing EHR data for child abuse and neglect detection raises several critical ethical considerations. This article applied a phenomenological approach to discuss and provide recommendations for key ethical issues related to machine learning\u2013based risk models development and evaluation: (1) biases in the data; (2) clinical documentation system design issues; (3) lack of centralized evidence base for child abuse and neglect; (4) lack of \u201cgold standard \u201cin assessment and diagnosis of child abuse and neglect; (5) challenges in evaluation of risk prediction performance; (6) challenges in testing predictive models in practice; and (7) challenges in presentation of machine learning\u2013based prediction to clinicians and patients. We provide recommended solutions to each of the 7 ethical challenges and identify several areas for further policy and research.<\/jats:p>","DOI":"10.1093\/jamia\/ocab286","type":"journal-article","created":{"date-parts":[[2021,12,14]],"date-time":"2021-12-14T20:20:26Z","timestamp":1639513226000},"page":"576-580","source":"Crossref","is-referenced-by-count":35,"title":["Developing machine learning-based models to help identify child abuse and neglect: key ethical challenges and recommended solutions"],"prefix":"10.1093","volume":"29","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3715-7709","authenticated-orcid":false,"given":"Aviv Y","family":"Landau","sequence":"first","affiliation":[{"name":"Columbia University Data Science Institute, Columbia University School of Nursing, Columbia University, New York, New York, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Susi","family":"Ferrarello","sequence":"additional","affiliation":[{"name":"Department of Philosophy & Religious Studies, California State University, Hayward, California, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ashley","family":"Blanchard","sequence":"additional","affiliation":[{"name":"New York Presbyterian Morgan Stanley Children\u2019s Hospital, Columbia University Irving Medical Center, New York, New York, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kenrick","family":"Cato","sequence":"additional","affiliation":[{"name":"Department of Emergency Medicine, Columbia University School of Nursing, Columbia University, New York, New York, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nia","family":"Atkins","sequence":"additional","affiliation":[{"name":"Columbia College, New York, New York, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Stephanie","family":"Salazar","sequence":"additional","affiliation":[{"name":"Columbia School of Social Work, Columbia University, New York, New York, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Desmond U","family":"Patton","sequence":"additional","affiliation":[{"name":"Columbia School of Social Work, Columbia University, New York, New York, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Maxim","family":"Topaz","sequence":"additional","affiliation":[{"name":"Columbia University Data Science Institute, Columbia School of Social Work, Columbia University, New York, New York, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2022,1,13]]},"reference":[{"key":"2022012920324525700_ocab286-B1","year":"2019"},{"issue":"2","key":"2022012920324525700_ocab286-B2","doi-asserted-by":"crossref","first-page":"141","DOI":"10.1007\/s40653-016-0118-8","article-title":"Prevalence of Child Maltreatment in Israel: A National Epidemiological Study","volume":"11","author":"Lev-Wiesel","year":"2018","journal-title":"J Child Adolesc Trauma"},{"issue":"6","key":"2022012920324525700_ocab286-B3","doi-asserted-by":"crossref","first-page":"535","DOI":"10.1097\/BPB.0b013e32833ce424","article-title":"Humerus fractures in the pediatric population: an algorithm to identify abuse","volume":"19","author":"Pandya","year":"2010","journal-title":"J Pediatr Orthop B"},{"issue":"18","key":"2022012920324525700_ocab286-B4","doi-asserted-by":"crossref","first-page":"3888","DOI":"10.1177\/0886260516672938","article-title":"Reluctance versus urge to disclose child maltreatment: the impact of multi-type maltreatment","volume":"34","author":"Lev-Wiesel","year":"2019","journal-title":"J Interpers Violence"},{"key":"2022012920324525700_ocab286-B5","doi-asserted-by":"crossref","first-page":"217","DOI":"10.1016\/j.chiabu.2018.10.006","article-title":"Race, social class, and child abuse: content and strength of medical professionals\u2019 stereotypes","volume":"86","author":"Najdowski","year":"2018","journal-title":"Child Abuse Negl"},{"key":"2022012920324525700_ocab286-B6","year":"2020"},{"issue":"2","key":"2022012920324525700_ocab286-B7","doi-asserted-by":"crossref","first-page":"e0247404","DOI":"10.1371\/journal.pone.0247404","article-title":"A natural language processing and deep learning approach to identify child abuse from pediatric electronic medical records","volume":"16","author":"Annapragada","year":"2021","journal-title":"PLoS One"},{"issue":"2","key":"2022012920324525700_ocab286-B8","doi-asserted-by":"crossref","first-page":"142","DOI":"10.1093\/jamia\/ocx063","article-title":"Development of an electronic medical record\u2013based child physical abuse alert system","volume":"25","author":"Berger","year":"2018","journal-title":"J Am Med Inform Assoc"},{"issue":"3","key":"2022012920324525700_ocab286-B9","doi-asserted-by":"crossref","first-page":"214","DOI":"10.1177\/1556264616661611","article-title":"Did I tell you that? 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