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Article Dans Une Revue Expert Review of Medical Devices Année : 2021

Role of real-world digital data for orthopedic implant automated surveillance: a systematic review

Résumé

Data collection automation through the reuse of real-world digital data from clinical data warehouses (CDW) could represent a great opportunity to improve medical device monitoring. For instance, this approach is starting to be used for the design of automated decision support systems for joint replacement monitoring. However, a number of obstacles remains, such as data quality and interoperability through the use of common and regularly updated terminologies, and the use of a Unique Device Identifier (UDI).To present the existing models of automated surveillance of orthopedic devices, a systematic review of initiatives using real-world digital health data to monitor joint replacement surgery was performed following the PRISMA 2020 guidelines. The main objective was to identify the data sources, the target populations, the population size, the device location, and the main results of studies on such initiatives. Analysis of the identified studies showed that real-world digital data offer many opportunities for improving the automation of monitoring in orthopedics. The contribution of real-world data, especially through natural language processing, UDI use in CDW and the integration of device databases, is needed for automated and more robust health surveillance.
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Dates et versions

hal-03281753 , version 1 (08-07-2021)

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Thibault Dhalluin, Sara Fakhiri, Guillaume Bouzillé, Julien Herbert, Philippe Rosset, et al.. Role of real-world digital data for orthopedic implant automated surveillance: a systematic review. Expert Review of Medical Devices, 2021, ⟨10.1080/17434440.2021.1943361⟩. ⟨hal-03281753⟩
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