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Acercamos información independiente y de calidad a todos quienes toman decisiones en salud

Trabajando duro para poner lo mejor de la ciencia detrás de cada decisión en salud

Acelerando el acceso a la
mejor evidencia a todos quienes toman decisiones en salud

Organizando, traduciendo y
simplificando la investigación médica
para que pueda llegar a todos





Los desarrollos conceptuales y de software generados en el contexto de la base de datos de Epistemonikos han permitido a nuestro equipo participar en múltiples proyectos internacionales de investigación e implementación. La combinación de capacidades técnicas en desarrollo de software, experiencia metodológica y una vasta red de voluntarios ha sido especialmente valiosa para este tipo de esfuerzos. Además, en conjunto con nuestros socios internacionales hemos desarrollado software y servicios de pruebas para su uso organizacional.

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Epistemonikos is a collaborative, multilingual database of research evidence and knowledge translation products that are usually referred as "evidence", according to the meaning given in Evidence-Based Health Care. The primary aim of Epistemonikos is to provide rapid access to systematic reviews and other types of health evidence. 

Epistemonikos was developed and is maintained by systematically searching electronic databases and other sources for relevant systematic reviews and overviews of reviews, which are screened and processed by a network of more than 500 collaborators. 

It now includes more than 150,000 systematic reviews for decision-making in health, and it is probably the largest database of this kind. 

 A unique feature of Epistemonikos is that it links together systematic reviews, overviews of reviews and primary studies, thus providing a highly efficient method for searching. 

In addition, it includes translations of the titles and abstracts of included records to facilitate use in different languages.

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L·OVE is a platform developed by Epistemonikos foundation  that provides all of the research evidence (systematic reviews and primary studies) relevant for health decision-making in a specific condition, organised in PICO-question format and continuously updated.

The easy-to-navigate platform is designed to be intuitively navigated by question. Just select the population of interest, and all of the questions associated will appear, with all the evidence and more.

You can open the information as a matrix of evidence, a table that allows you to compare different reviews and their included studies.

You can easily download the information you need, or export to traditional citation managers, Software for guideline development.

Just try some of our examples and you will realise how much L·OVE can help you.

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PDQ-Evidence is a database that facilitates rapid access to the best available evidence for decisions about health systems and population health. It includes systematic reviews, overviews of reviews (including evidence-based policy briefs) and primary studies included in systematic reviews; primary studies included in those; and structured summaries.

The connections between the documents make PDQ-Evidence very easy and quick to search.

For example, each systematic review is linked to all of the studies included in the review, to overviews and policy briefs that include the review, and to other systematic reviews that include any of the same studies.

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Interactive Summary of Findings
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Summary of Findings (SoF) are tables suggested by GRADE group that summarize evidence in a succinct, transparent, and informative way.

They provide an estimate of the size of the effect of an intervention on each of the most important outcomes of interest and an assessment of the certainty of the evidence for each of those estimates.

The objective of interactive SoF (iSoF) tables is to improve understanding and use of evidence of the effects of healthcare interventions by allowing Producers of iSoF tables to tailor a presentation to a target audience and Users to interact with the presentation by viewing more or fewer outcomes, more or less information about each outcome, information about the absolute effects as numbers, words or graphs, cursor over explanations and links to more detailed explanations of basic concepts (e.g. “95% CI”) and specific content (e.g. a specific outcome such as a pain scale).

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Interactive Evidence to Decision frameworks
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The purpose of Evidence to Decision (EtD) frameworks is to help groups of people (panels) making healthcare recommendations or decisions move from evidence to decisions.

The interactive Evidence to Decision framework (iEtD) tool  facilitates use of EtD frameworks by guideline developers, health technology assessment agencies, policymakers and managers.

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SUPPORT Summaries
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One reason for slow progress in achieving the health Millennium Development Goals in low- and middle-income countries is the difficulty policymakers and others have in accessing high quality information about potentially effective interventions to improve health systems.

 We are searching global databases for systematic reviews of ways to organise, finance and govern the delivery of effective healthcare interventions. 

To make this information more accessible to policymakers and other stakeholders we are preparing structured summaries of relevant reviews.

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menos proyectos
GRADE guidelines repository
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Disclaimer: This prototype is for illustrating the GRADE guidelines repository, and is not intended for decision making.

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Values and preferences database
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Disclaimer: This project is in prototype stage. It is for illustrating the Values and Preferences database, and is not intended for decision making.

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Epistemonikos team is developing COMMVAC database in Partnership with researchers of the Evidence-based Healthcare Program at the Faculty of Medicine, Pontificia Universidad Católica de Chile

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Project Transform aims to significantly improve the long-term value and sustainability of Cochrane by piloting, refining, and scaling up innovations in content production in collaboration with other Cochrane projects.

Project Transform is funded through a Cochrane Game Changer initiative (2015-2017) and a National Health and Medical Research Council of Australia Partnership Project grant (2016-2018 / APP1114605).

It has 5 components, including the evidence pipeline, where Epistemonikos participates.

Evidence Pipeline will address the difficulty in finding reports of studies for inclusion in a review in a timely and reliable way. With ongoing growth in the volume and diversity of research outputs this issue is becoming ever more pressing.

The project will build an ‘Evidence Pipeline’ in which study citations identified through automated and enhanced centralised search activities, including Project Transform's Cochrane Crowd platform, are ‘triaged’ to the most relevant review group or review using machine learning technologies. It will also assign suggested study type flags automatically: RCT only to begin with, and other types (e.g. diagnostic test) in later releases. The objectives are to improve the efficiency by which study reports are identified and to support the inclusion of all relevant studies in Cochrane information systems. 

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MAGICapp is developed and maintained by MAGIC, a non-profit organization backed by an international team of doctors and researchers. Their goal is to improve the authoring, adaptation, presentation, dynamic updating, and dissemination of medical guidelines using the GRADE methodology. 

MAGIC aims to facilitate shared decision making between patients and providers. This is accomplished by developing decision aids and using guidelines directly in Electronic Health Records and decision support systems, all with structured data. 

Epistemonikos is now collaboration with MAGICapp development, and also integrating Epistemonikos database and the iEtD into this tool.

This collaboration is part of a broader collaboration of different actors in the medical knowledge ecosystem which aim to improve the flow of information.

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Diagnostic iSoF
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A version of interactive Summary of Findings tables for diagnostic decisions.

Developed by Epistemonikos team, and now integrated in GRADEpro-GDT, GRADE's software for Summary of Findings tables, Health Technology Assessment and Guidelines.

You can still access a demo version (just for demonstration purposes)

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acerca de Epistemonikos

la base de datos

La base de datos de Epistemonikos fue co-creada en 2009 por Gabriel Rada (Director del Programa de Salud Basada en la Evidencia [PROSABE- Programa de Salud Basada en Evidencia], Pontificia Universidad Católica de Chile) y Daniel Pérez (propietario de Etiqs, empresa de desarrollo de software en Santiago, Chile), quienes trabajaron junto a su equipo para lograr el lanzamiento oficial fue el año 2012.

Desde el principio fue planificada como una base de datos de evidencia en salud, conectada alrededor de una pregunta estructurada (PICO), exhaustiva, amigable y multilenguaje. Esto fue posible gracias al financiamiento para desarrollar el concepto y generar varias versiones piloto proveniente de becas de investigación y contribuciones en especie de la Pontificia Universidad Católica de Chile. La sostenibilidad hasta el momento se basa en un modelo colaborativo, con más de 700 voluntarios alrededor del mundo.

la fundación

Poco después del lanzamiento oficial de la base de datos, se hizo evidente que se necesitaba una nueva estructura. Algunas de las razones fueron:

  • Reconocer la diversidad de personas que aportan al proyecto, procedentes de diferentes instituciones y países.

  • Dotar al proyecto de independencia de la Universidad, con el fin de lograr un alcance global.

  • Explorar opciones alternativas para asegurar la sostenibilidad.

En 2013, con la aprobación de la Pontificia Universidad Católica de Chile, nace la Fundación Epistemonikos (Asociación sin fines de lucro 'Epistemonikos') como una organización sin fines de lucro bajo la ley chilena. Con la misión de "acercar la evidencia a aquellos que toman decisiones de salud, a través de la tecnología y la innovación".

Quiénes somos


Daniel Pérez

Co-fundador, Jefe de Tecnología, Vicepresidente

Gabriel Rada

Cofundador, Presidente

Gabriel Rada

Cofundador, Presidente

Daniel Pérez

Co-fundador, Jefe de Tecnología, Vicepresidente

Daniel Capurro

Miembro de Directorio

Mauricio Soto

Miembro de Directorio

José Peña

Miembro de Directorio

Ignacio Neumann

Miembro de Directorio

Solange Rivera

Miembro de Directorio

Franco Pesce

Sales Manager

Juan Ignacio Vásquez

Jefe de proyectos DECIDE y L·OVE

Cynthia Zavala

Coordinadora proyecto síntesis de evidencia L·OVE

Gonzalo Bravo

Coordinador proyecto síntesis de evidencia Epistemonikos

Camilo Vergara

Jefe de proyecto Epistemonikos Base de Datos

Marcelo Pérez

Coordinador de alianzas estratégicas e incidencia

Aldo Canepa


Desarrollador principal del proyecto de Colaboración, y un importante colaborador del proyecto DECIDE iSoF y de la base de datos Epistemonikos.

Sebastián Valenzuela


El primer desarrollador de Epistemonikos. Su talento permitió que el proyecto diera pasos firmes hacia lo que es hoy. Nos dejó cuando sintió el llamado de la Pachamama, y cambió la ciudad por la naturaleza...

Tomás Saez


"Coloro" fue parte del equipo durante periodos desafiantes, aportando con su trabajo y buena onda. Partió como practicante y se quedó por un año entero. Extrañaremos su buen humor y sus camisas coloridas.

Felipe Valverde

Desarrollador, ex jefe proyecto Epistemonikos

Él trabajó en el proyecto desde el principio, y gran parte de la brujería de computación que se ejecuta detrás de cortinas en la base de datos Epistemonikos fue hecha por sus manos (un ejemplo notable de su contribución es el desarrollo de la matriz de evidencia, una característica clave de la Epistemonikos Base de datos).

Francisco Madrid

Desarrollador, SysAdmin

Asistente de computadora y bombero tecnológico. Se utiliza para traer donas para el equipo de vez en cuando.

Paulina Frías

Encargada de Finanzas y Recursos Humanos

Una hacker administrativa y financiera, contribuyó enormemente a ordenar y consolidar nuestra organización. Iluminó nuestra oficina con su buena onda, haciendo nuestro trabajo incluso más entretenido.

Más de 700 personas están haciendo Epistemonikos posible

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