Tuberculosis (TB) is responsible for a global epidemic. TB treatment requires long-term therapy usually with multiple drugs, which have potential side effects and interactions that may influence patients’ adherence to treatment. The TB Ge network is a multi-centric web based platform that collects clinical information of TB affected patients to increase their support and retention in care. The system stores the list of all tuberculosis episodes for each patient with the related data, starting from the first visit including follow-ups clinical evaluations, laboratory tests, imaging and therapies. Data can be manually input through the web interface or can be automatically imported from hospitals Laboratory Information Systems without human intervention. Automatic data import enhances data reuse and prevents errors introduction and time wasting. The network is an implementation of the Healthcare Services Specification Project (HSSP), as the Retrieve, Locate, and Update Service (RLUS) is used to manage patients’ data. Clinical data are shared through standard HL7 Clinical Document Architecture (CDA) documents. Semantic interoperability is granted by the adoption of LOINC and ATC codes.

A Web Based Tool to Enhance Monitoring and Retention in Care for Tuberculosis Affected Patients

B. Giannini;N. Riccardi;A. Di Biagio;G. Cenderello;M. Giacomini
2017

Abstract

Tuberculosis (TB) is responsible for a global epidemic. TB treatment requires long-term therapy usually with multiple drugs, which have potential side effects and interactions that may influence patients’ adherence to treatment. The TB Ge network is a multi-centric web based platform that collects clinical information of TB affected patients to increase their support and retention in care. The system stores the list of all tuberculosis episodes for each patient with the related data, starting from the first visit including follow-ups clinical evaluations, laboratory tests, imaging and therapies. Data can be manually input through the web interface or can be automatically imported from hospitals Laboratory Information Systems without human intervention. Automatic data import enhances data reuse and prevents errors introduction and time wasting. The network is an implementation of the Healthcare Services Specification Project (HSSP), as the Retrieve, Locate, and Update Service (RLUS) is used to manage patients’ data. Clinical data are shared through standard HL7 Clinical Document Architecture (CDA) documents. Semantic interoperability is granted by the adoption of LOINC and ATC codes.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11567/941195
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