Integrated Information System for Multi-criteria Management of Orthopedic Infections

Résultats de recherche: Contribution dans un livre/un catalogue/un rapport/dans les actes d'une conférenceArticle dans les actes d'une conférence/un colloque

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Résumé

The detection of an infection with or without the presence of prosthesis (mainly hip and knee) remains today very delicate. Primarily, the difficulty of differential diagnosis between mechanical loosening and septic loosening of prosthesis comes from the torpid nature of chronic infections. Secondly, as the diagnosis of orthopedic infections is a multidisciplinary approach that generally lasts for months (not to say years for complex cases), it tends to generate a huge amount of heterogeneous data that is scattered in the hospital environment. Inadequate or late diagnosis as well as inadequate treatment (such as unsuitable antibiotherapy) due to poor initial diagnosis may be the cause of disabling pain, lasting damage and complications for the patient, not to mention the significant direct and indirect costs to the patient and society. In this paper, we present a complete platform for the diagnosis of osteoarticular prosthesis infections, incorporating innovative modules from both imaging processes and molecular biology processes, an intelligent data management system including multidisciplinary, mobile and adaptive user interfaces, while ensuring full traceability of diagnosis.
langue originaleAnglais
titreMobile and Information Technologies in Medicine and Health 2013
étatPublié - 20 nov. 2013

Empreinte digitale

Information Systems
Orthopedics
Infection
Prosthesis Failure
Knee Prosthesis
Hip Prosthesis
Delayed Diagnosis
Prostheses and Implants
Molecular Biology
Differential Diagnosis
Costs and Cost Analysis
Pain
Therapeutics

Citer ceci

Ortiz Vega, J. J., De Nizza, D., Schobbens, P-Y., & Meurisse, H. (2013). Integrated Information System for Multi-criteria Management of Orthopedic Infections. Dans Mobile and Information Technologies in Medicine and Health 2013
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title = "Integrated Information System for Multi-criteria Management of Orthopedic Infections",
abstract = "The detection of an infection with or without the presence of prosthesis (mainly hip and knee) remains today very delicate. Primarily, the difficulty of differential diagnosis between mechanical loosening and septic loosening of prosthesis comes from the torpid nature of chronic infections. Secondly, as the diagnosis of orthopedic infections is a multidisciplinary approach that generally lasts for months (not to say years for complex cases), it tends to generate a huge amount of heterogeneous data that is scattered in the hospital environment. Inadequate or late diagnosis as well as inadequate treatment (such as unsuitable antibiotherapy) due to poor initial diagnosis may be the cause of disabling pain, lasting damage and complications for the patient, not to mention the significant direct and indirect costs to the patient and society. In this paper, we present a complete platform for the diagnosis of osteoarticular prosthesis infections, incorporating innovative modules from both imaging processes and molecular biology processes, an intelligent data management system including multidisciplinary, mobile and adaptive user interfaces, while ensuring full traceability of diagnosis.",
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Ortiz Vega, JJ, De Nizza, D, Schobbens, P-Y & Meurisse, H 2013, Integrated Information System for Multi-criteria Management of Orthopedic Infections. Dans Mobile and Information Technologies in Medicine and Health 2013 .

Integrated Information System for Multi-criteria Management of Orthopedic Infections. / Ortiz Vega, James Jerson; De Nizza, Damien; Schobbens, Pierre-Yves; Meurisse, Hubert .

Mobile and Information Technologies in Medicine and Health 2013 . 2013.

Résultats de recherche: Contribution dans un livre/un catalogue/un rapport/dans les actes d'une conférenceArticle dans les actes d'une conférence/un colloque

TY - GEN

T1 - Integrated Information System for Multi-criteria Management of Orthopedic Infections

AU - Ortiz Vega, James Jerson

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N2 - The detection of an infection with or without the presence of prosthesis (mainly hip and knee) remains today very delicate. Primarily, the difficulty of differential diagnosis between mechanical loosening and septic loosening of prosthesis comes from the torpid nature of chronic infections. Secondly, as the diagnosis of orthopedic infections is a multidisciplinary approach that generally lasts for months (not to say years for complex cases), it tends to generate a huge amount of heterogeneous data that is scattered in the hospital environment. Inadequate or late diagnosis as well as inadequate treatment (such as unsuitable antibiotherapy) due to poor initial diagnosis may be the cause of disabling pain, lasting damage and complications for the patient, not to mention the significant direct and indirect costs to the patient and society. In this paper, we present a complete platform for the diagnosis of osteoarticular prosthesis infections, incorporating innovative modules from both imaging processes and molecular biology processes, an intelligent data management system including multidisciplinary, mobile and adaptive user interfaces, while ensuring full traceability of diagnosis.

AB - The detection of an infection with or without the presence of prosthesis (mainly hip and knee) remains today very delicate. Primarily, the difficulty of differential diagnosis between mechanical loosening and septic loosening of prosthesis comes from the torpid nature of chronic infections. Secondly, as the diagnosis of orthopedic infections is a multidisciplinary approach that generally lasts for months (not to say years for complex cases), it tends to generate a huge amount of heterogeneous data that is scattered in the hospital environment. Inadequate or late diagnosis as well as inadequate treatment (such as unsuitable antibiotherapy) due to poor initial diagnosis may be the cause of disabling pain, lasting damage and complications for the patient, not to mention the significant direct and indirect costs to the patient and society. In this paper, we present a complete platform for the diagnosis of osteoarticular prosthesis infections, incorporating innovative modules from both imaging processes and molecular biology processes, an intelligent data management system including multidisciplinary, mobile and adaptive user interfaces, while ensuring full traceability of diagnosis.

M3 - Conference contribution

BT - Mobile and Information Technologies in Medicine and Health 2013

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Ortiz Vega JJ, De Nizza D, Schobbens P-Y, Meurisse H. Integrated Information System for Multi-criteria Management of Orthopedic Infections. Dans Mobile and Information Technologies in Medicine and Health 2013 . 2013