Publications by authors named "Christine Salpetrier"
Background: Total hip, knee and shoulder arthroplasties (THKSA) are increasing due to expanding demands in ageing population. Material surveillance is important to prevent severe complications involving implantable medical devices (IMD) by taking appropriate preventive measures. Automating the analysis of patient and IMD features could benefit physicians and public health policies, allowing early issue detection and decision support.
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- Electronic health data for implantable medical devices (IMD) allows real-time monitoring of risks, especially as joint surgeries like hip and knee replacements increase due to an aging population.
- A machine learning tool utilizing natural language processing (NLP) was created to automatically extract and analyze operation details from orthopedic medical reports, achieving excellent precision (97.0%) and recall (96.0%).
- By automating data extraction and monitoring of orthopedic devices through clinical data warehouses, the tool aims to enhance patient safety, support surgeons and policymakers with actionable insights, and improve compliance in medical reporting.
At the core of the child's medical, social, and educational pathway, coordination and referral platforms (CRPs) for neurodevelopmental disorders (NDDs) have been gradually deployed in France since 2018 and support the early detection of NDDs in children. The 112 nationwide CRPs do not benefit from a common electronic health record system. Our aim was to propose an HER model for CRP to enable real-life data reuse, optimize care pathway management and conduct pre-screening for research.
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