Protocol for Developing Integration Frameworks for Automated Evidence Synthesis in Implementation Science v1 Article Swipe

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Nabil Zary ·

YOU? · · 2025 · Open Access · · DOI: https://doi.org/10.17504/protocols.io.eq2lyqk1pvx9/v1

This protocol provides a systematic methodology for developing comprehensive frameworks that guide the responsible integration of automated evidence synthesis technologies within implementation science practice. The approach addresses the critical challenge of bridging the evidence-to-practice gap through technological innovation while preserving implementation science's core values of contextual sensitivity, stakeholder engagement, and equity. The methodology employs a multi-phase approach combining systematic literature analysis, implementation science perspective evaluation, theoretical framework application, integration strategy development, and validation processes. The protocol is designed to produce actionable frameworks that balance automation's efficiency capabilities with the nuanced requirements of implementation science across diverse organizational contexts. Traditional evidence synthesis methods require six to twenty-four months to complete while biomedical literature expands by approximately four thousand articles daily, creating an unsustainable temporal mismatch between evidence generation and implementation decision-making needs. Recent advances in artificial intelligence and large language models demonstrate capabilities for reducing synthesis time by fifty to ninety-five percent while enabling continuous evidence monitoring, yet their integration requires careful consideration of implementation science's unique epistemological and practical requirements. This protocol addresses the gap between generic technology adoption approaches and the specialized needs of implementation science by providing structured guidance for framework development that maintains fidelity to field values while leveraging demonstrated technological capabilities. The resulting frameworks support organizational decision-making regarding appropriate automation levels, human oversight requirements, quality assurance protocols, and equity safeguarding mechanisms necessary for responsible technology adoption.

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Protocol (science) Computer science Software engineering Medicine Alternative medicine Pathology

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Type: preprint
Language: en
Landing Page: https://doi.org/10.17504/protocols.io.eq2lyqk1pvx9/v1
PDF: https://www.protocols.io/view/protocol-for-developing-integration-frameworks-for-g2u3byeyp.pdf
OA Status: gold
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OpenAlex ID: https://openalex.org/W4411158965

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DOI: https://doi.org/10.17504/protocols.io.eq2lyqk1pvx9/v1

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Title: Protocol for Developing Integration Frameworks for Automated Evidence Synthesis in Implementation Science v1

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Type: preprint

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Language: en

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Publication year: 2025

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Publication date: 2025-06-08

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Authors: Nabil Zary

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Landing page: https://doi.org/10.17504/protocols.io.eq2lyqk1pvx9/v1

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PDF URL: https://www.protocols.io/view/protocol-for-developing-integration-frameworks-for-g2u3byeyp.pdf

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Concepts: Protocol (science), Computer science, Software engineering, Medicine, Alternative medicine, Pathology

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