This event reaches the scientific community after a global pandemic that has clearly emphasized how closely related biomedical research and patient health are, bringing out new clinical and methodological challenges. On the one hand, the need for further evidence to be produced in response to emerging healthcare needs; on the other hand, the demand for evidence urgently processed, synthesized and transferred into clinical recommendations.
The Conference will focus on how the COVID-19 pandemic has impacted the ecosystem of evidence and what future challenges should be faced to connect the generation, synthesis and translation of evidence to individuals and populations.
It is essential now more than ever that a consensual commitment is made to provide support to Evidence-Based Healthcare.
Amazing EBHC champions will trace the way forward through the ecosystem of evidence while dozens of researchers will present their experiences. You will live an exciting journey departing from two main topics: the lessons learnt in the pandemic era to produce, synthesize and use updated evidence for global health and the need for an EBP core curriculum for all health professionals. Then you will be carried through the pillars of the evidence ecosystem:
Evidence generation: from outcomes of REWARD recommendations to the global challenges for managing conflict of interest, increasing value and ensuring the research integrity.
Evidence synthesis: from the future challenges of systematic reviews 30 years later to new approaches to develop up-to-date syntheses of evidence and clinical practice guidelines.
Evidence translation: from opportunities and barriers to implement EBP in developing countries to future challenges for the promotion of evidence literacy and the implementation of clinical practice guidelines in real world.
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Settore
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Salute pubblica
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Dimensioni dell’azienda
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2-10 dipendenti
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Sede principale
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Taormina, Sicilia
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Data di fondazione
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1996
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Settori di competenza
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evidence based medicine, evidence-based healthcare, clinical research, health economics, biomedical research, teaching evidence, AI e digital healtcare
