Dang C, Phuong T, Beddag M, Vega A, Denis C. A data model for clinical legal medicine practice and the development of a dedicated software for both practitioners and researchers.
J Forensic Leg Med 2016;
57:12-18. [PMID:
29801945 DOI:
10.1016/j.jflm.2016.11.002]
[Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2016] [Revised: 11/21/2016] [Accepted: 11/23/2016] [Indexed: 10/20/2022]
Abstract
OBJECTIVE
To present a data model for clinical legal medicine and the software based on that data model for both practitioners and researchers. The main functionalities of the presented software are computer-assisted production of medical certificates and data capture, storage and retrieval.
METHODS
The data model and the software were jointly developed by the department of forensic medicine of the Jean Verdier Hospital (Bondy, France) and an bioinformatics laboratory (LIMICS, Paris universities 6-13) between November 2015 and May 2016. The data model was built based on four sources: i) a template used in our department for producing standardised medical certificates; ii) a random sample of medical certificates produced by the forensic department; iii) anterior consensus between four healthcare professionals (two forensic practitioners, a psychologist and a forensic psychiatrist) and iv) anatomical dictionaries. The trial version of the open source software was first designed for examination of physical assault survivors.
RESULTS
An UML-like data model dedicated to clinical legal practice was built. The data model describes the terminology for examinations of sexual assault survivors, physical assault survivors, individuals kept in police custody and undocumented migrants for age estimation. A trial version of a software relying on the data model was developed and tested by three physicians.
DISCUSSION
The software allows files archiving, standardised data collection, extraction and assistance for certificate generation. It can be used for research purpose, by data exchange and analysis. Despite some current limitations of use, it is a tool which can be shared and used by other departments of forensic medicine and other specialties, improving data management and exploitation. Full integration with external sources, analytics software and use of a semantic interoperability framework are planned for the next months.
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