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A review of causal inference in forensic medicine

The primary aim of forensic medical analysis is to provide legal factfinders with evidence regarding the causal relationship between an alleged action and a harmful outcome. Despite existing guides and manuals, the approach to formulating opinions on medicolegal causal inference used by forensic med...

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Autores principales: Meilia, Putri Dianita Ika, Freeman, Michael D., Herkutanto, Zeegers, Maurice P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7245596/
https://www.ncbi.nlm.nih.gov/pubmed/32157581
http://dx.doi.org/10.1007/s12024-020-00220-9
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author Meilia, Putri Dianita Ika
Freeman, Michael D.
Herkutanto
Zeegers, Maurice P.
author_facet Meilia, Putri Dianita Ika
Freeman, Michael D.
Herkutanto
Zeegers, Maurice P.
author_sort Meilia, Putri Dianita Ika
collection PubMed
description The primary aim of forensic medical analysis is to provide legal factfinders with evidence regarding the causal relationship between an alleged action and a harmful outcome. Despite existing guides and manuals, the approach to formulating opinions on medicolegal causal inference used by forensic medical practitioners, and how the strength of the opinion is quantified, is mostly lacking in an evidence-based or systematically reproducible framework. In the present review, we discuss the literature describing existing methods of causal inference in forensic medicine, especially in relation to the formulation of expert opinions in legal proceedings, and their strengths and limitations. Causal inference in forensic medicine is unique and different from the process of establishing a diagnosis in clinical medicine. Because of a lack of tangibility inherent in causal analysis, even the term “cause” can have inconsistent meaning when used by different practitioners examining the same evidence. Currently, there exists no universally applied systematic methodology for formulating and assessing causality in forensic medical expert opinions. Existing approaches to causation in forensic medicine generally fall into two categories: intuitive and probabilistic. The propriety of each approach depends on the individual facts of an investigated injury, disease, or death. We opine that in most forensic medical settings, probabilistic causation is the most suitable for use and readily applicable. Forensic medical practitioners need, however, be aware of the appropriate approach to causation for different types of cases with varying degrees of complexity.
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spelling pubmed-72455962020-06-03 A review of causal inference in forensic medicine Meilia, Putri Dianita Ika Freeman, Michael D. Herkutanto Zeegers, Maurice P. Forensic Sci Med Pathol Review The primary aim of forensic medical analysis is to provide legal factfinders with evidence regarding the causal relationship between an alleged action and a harmful outcome. Despite existing guides and manuals, the approach to formulating opinions on medicolegal causal inference used by forensic medical practitioners, and how the strength of the opinion is quantified, is mostly lacking in an evidence-based or systematically reproducible framework. In the present review, we discuss the literature describing existing methods of causal inference in forensic medicine, especially in relation to the formulation of expert opinions in legal proceedings, and their strengths and limitations. Causal inference in forensic medicine is unique and different from the process of establishing a diagnosis in clinical medicine. Because of a lack of tangibility inherent in causal analysis, even the term “cause” can have inconsistent meaning when used by different practitioners examining the same evidence. Currently, there exists no universally applied systematic methodology for formulating and assessing causality in forensic medical expert opinions. Existing approaches to causation in forensic medicine generally fall into two categories: intuitive and probabilistic. The propriety of each approach depends on the individual facts of an investigated injury, disease, or death. We opine that in most forensic medical settings, probabilistic causation is the most suitable for use and readily applicable. Forensic medical practitioners need, however, be aware of the appropriate approach to causation for different types of cases with varying degrees of complexity. Springer US 2020-03-10 2020 /pmc/articles/PMC7245596/ /pubmed/32157581 http://dx.doi.org/10.1007/s12024-020-00220-9 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Review
Meilia, Putri Dianita Ika
Freeman, Michael D.
Herkutanto
Zeegers, Maurice P.
A review of causal inference in forensic medicine
title A review of causal inference in forensic medicine
title_full A review of causal inference in forensic medicine
title_fullStr A review of causal inference in forensic medicine
title_full_unstemmed A review of causal inference in forensic medicine
title_short A review of causal inference in forensic medicine
title_sort review of causal inference in forensic medicine
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7245596/
https://www.ncbi.nlm.nih.gov/pubmed/32157581
http://dx.doi.org/10.1007/s12024-020-00220-9
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