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      Sistema de información de la red nacional de laboratorios de salud pública en el Perú (Netlab) Translated title: Information system of the national network of public health laboratories in Peru (Netlab)

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          Abstract

          Los sistemas de información de laboratorio clínico, producen mejoras en la calidad de la información, la reducción de los costos del servicio, disminución de la espera para obtener resultados, entre otros. En el proceso de construcción de este sistema de información, el Instituto Nacional de Salud (INS) del Perú ha desarrollado e implementado un aplicativo a través de Internet basado en la web, para comunicar, al personal de salud (laboratoristas, epidemiólogos, gestores de estrategias sanitarias, médicos tratantes, etc.), los resultados de las pruebas de laboratorio que se realizan en el INS o en los laboratorios de la Red Nacional de Laboratorios de Salud Pública el cual es llamado NETLAB. Este artículo presenta la experiencia de la implementación de NETLAB, su situación actual y las perspectivas de su empleo, así como su contribución en la prevención y control de enfermedades en el Perú

          Translated abstract

          Clinical laboratory information systems produce improvements in the quality of information, reduce service costs, and diminish wait times for results, among other things. In the construction process of this information system, the National Institute of Health (NIH) of Peru has developed and implemented a web-based application to communicate to health personnel (laboratory workers, epidemiologists, health strategy managers, physicians, etc.) the results of laboratory tests performed at the Peruvian NIH or in the laboratories of the National Network of Public Health Laboratories which is called NETLAB. This article presents the experience of implementing NETLAB, its current situation, perspectives of its use, and its contribution to the prevention and control of diseases in Peru

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          Most cited references33

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          Design and Evaluation in eHealth: Challenges and Implications for an Interdisciplinary Field

          Much has been written about insufficient user involvement in the design of eHealth applications, the lack of evidence demonstrating impact, and the difficulties these bring for adoption. Part of the problem lies in the differing languages, cultures, motives, and operational constraints of producers and evaluators of eHealth systems and services. This paper reflects on the benefits of and barriers to interdisciplinary collaboration in eHealth, focusing particularly on the relationship between software developers and health services researchers. It argues that the common pattern of silo or parallel working may be ameliorated by developing mutual awareness and respect for each others’ methods, epistemologies, and contextual drivers and by recognizing and harnessing potential synergies. Similarities and differences between models and techniques used in both communities are highlighted in order to illustrate the potential for integrated approaches and the strengths of unique paradigms. By sharing information about our research approaches and seeking to actively collaborate in the process of design and evaluation, the aim of achieving technologies that are truly user-informed, fit for context, high quality, and of demonstrated value is more likely to be realized. This may involve embracing new ways of working jointly that are unfamiliar to the stakeholders involved and that challenge disciplinary conventions. It also has policy implications for agencies commissioning research and development in this area.
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            PRISM framework: a paradigm shift for designing, strengthening and evaluating routine health information systems

            The utility and effectiveness of routine health information systems (RHIS) in improving health system performance in developing countries has been questioned. This paper argues that the health system needs internal mechanisms to develop performance targets, track progress, and create and manage knowledge for continuous improvement. Based on documented RHIS weaknesses, we have developed the Performance of Routine Information System Management (PRISM) framework, an innovative approach to design, strengthen and evaluate RHIS. The PRISM framework offers a paradigm shift by putting emphasis on RHIS performance and incorporating the organizational, technical and behavioural determinants of performance. By describing causal pathways of these determinants, the PRISM framework encourages and guides the development of interventions for strengthening or reforming RHIS. Furthermore, it conceptualizes and proposes a methodology for measuring the impact of RHIS on health system performance. Ultimately, the PRISM framework, in spite of its challenges and competing paradigms, proposes a new agenda for building and sustaining information systems, for the promotion of an information culture, and for encouraging accountability in health systems.
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              An e-health driven laboratory information system to support HIV treatment in Peru: E-quity for laboratory personnel, health providers and people living with HIV

              Background Peru has a concentrated HIV epidemic with an estimated 76,000 people living with HIV (PLHIV). Access to highly active antiretroviral therapy (HAART) expanded between 2004-2006 and the Peruvian National Institute of Health was named by the Ministry of Health as the institution responsible for carrying out testing to monitor the effectiveness of HAART. However, a national public health laboratory information system did not exist. We describe the design and implementation of an e-health driven, web-based laboratory information system - NETLAB - to communicate laboratory results for monitoring HAART to laboratory personnel, health providers and PLHIV. Methods We carried out a needs assessment of the existing public health laboratory system, which included the generation and subsequent review of flowcharts of laboratory testing processes to generate better, more efficient streamlined processes, improving them and eliminating duplications. Next, we designed NETLAB as a modular system, integrating key security functions. The system was implemented and evaluated. Results The three main components of the NETLAB system, registration, reporting and education, began operating in early 2007. The number of PLHIV with recorded CD4 counts and viral loads increased by 1.5 times, to reach 18,907. Publication of test results with NETLAB took an average of 1 day, compared to a pre-NETLAB average of 60 days. NETLAB reached 2,037 users, including 944 PLHIV and 1,093 health providers, during its first year and a half. The percentage of overall PLHIV and health providers who were aware of NETLAB and had a NETLAB password has also increased substantially. Conclusion NETLAB is an effective laboratory management tool since it is directly integrated into the national laboratory system and streamlined existing processes at the local, regional and national levels. The system also represents the best possible source of timely laboratory information for health providers and PLHIV, allowing patients to access their own results and other helpful information about their health, extending the scope of HIV treatment beyond the health facility and providing a model for other countries to follow. The NETLAB system now includes 100 diseases of public health importance for which the Peruvian National Institute of Health and the network of public health laboratories provide testing and results.
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                Author and article information

                Journal
                rins
                Revista Peruana de Medicina Experimental y Salud Publica
                Rev. perú. med. exp. salud publica
                Instituto Nacional de Salud (Lima, , Peru )
                1726-4634
                April 2015
                : 32
                : 2
                : 378-384
                Affiliations
                [02] Lima orgnameMinisterio de Salud Perú
                [01] Lima orgnameUniversidad Nacional Mayor de San Marcos orgdiv1Facultad de Medicina Perú
                [03] Lima orgnameInstituto Nacional de Salud orgdiv1Oficina General de Información y Sistemas Perú
                Article
                S1726-46342015000200026 S1726-4634(15)03200200026
                26338402
                c2fb3882-f0e1-479a-9959-d9fdbded2df4

                This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

                History
                : 22 April 2015
                : 13 May 2015
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 20, Pages: 7
                Product

                SciELO Peru

                Self URI: Texto completo solamente en formato PDF (ES)
                Categories
                Sección Especial

                Medical informatics,Clinical laboratory information systems,Prevención y control,Informática médica,Sistemas de información de laboratorio,Prevention and control

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