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Integrating evidence from systematic research in daily clinical practice is one of the pillars of evidence-based medicine. Electronic data capture tools simplify data collection from different centers and supports the management of multicenter clinical trials. The Ligurian HIV Network (LHN) is one such tool, originating from a regional effort to integrate clinical trial capabilities for HIV and other chronic infectious diseases. In order to manually collect a complete report of all clinical tests on patients enrolled in a trial, a strenuous human effort and the allocation of great resources would be necessary. Moreover, the risk of error in a manual system is very high. The proposed system automatically extracts clinical data from the EHR of three hospitals of the LHN in a standardized way, and enhance their re-use in clinical trials. Through dedicated questionnaires, physicians reported a strongly positive feedback about the efficacy of the platform in supporting clinical research.

Vaccination in HIV-infected patients constitutes an essential tool in the prevention of the most common infectious diseases. The Ligurian Vaccination in HIV Program is a proposed vaccination schedule specifically dedicated to this risk group. Selective strategies are proposed within this program, employing ICT (Information and Communication) tools to identify this susceptible target group, to monitor immunization coverage over time and to manage failures and defaulting. The proposal is to connect an immunization registry system to an existing regional platform that allows clinical data re-use among several medical structures, to completely manage the vaccination process. This architecture will adopt a Service Oriented Architecture (SOA) approach and standard HSSP (Health Services Specification Program) interfaces to support interoperability. According to the presented solution, vaccination administration information retrieved from the immunization registry will be structured according to the specifications within the immunization section of the HL7 (Health Level 7) CCD (Continuity of Care Document) document. Immunization coverage will be evaluated through the continuous monitoring of serology and antibody titers gathered from the hospital LIS (Laboratory Information System) structured into a HL7 Version 3 (v3) Clinical Document Architecture Release 2 (CDA R2). [ABSTRACT FROM AUTHOR]

HIV treatment is based on combined antiretroviral therapy (cART) which has substantially improved survival, thus resulting in an increase in patient life expectancy as well as in the cost of HIV-related medical care. Therefore, several cost effectiveness studies were implemented worldwide, with one specifically in the Liguria region (Italy), to compare the annual economic expense in this area for HIV services, and the related improvement in patients' health. The IANUA project is intended to implement both cost-effectiveness and cost-utility analysis, therefore data related to clinical indicators and perceived health status were collected, the latter using a questionnaire based on the EQ-5D-3L. Information about the antiretroviral drugs and the relative quantity that a patient withdraws from the hospital pharmacy every month were extracted from the regional "F-file". All data gathered were stored in the Ligurian HIV Network, a web platform developed by the DIBRIS - Medinfo laboratory. More than eight hundred questionnaires were collected, and data will be elaborated by economists and psychologists. The first statistical elaborations showed that, as expected, costs increased as the number of therapeutic lines increased. Moreover, the average annual costs for patients whose last CD4 values were below 200 cells/mmc corresponded to the maximum expense recorded, however, the cost for patients with final CD4 counts above 500 cells/mmc was not, as expected, the lowest found. This can be explained by the fact that stabilized patients, who had CD4 values below 500 cells/mmc, did not need very expensive care, while patients with CD4 counts above 500 cells/mmc improved their health status thanks to cART. [ABSTRACT FROM AUTHOR]