Systematic literature reviews: An opportunity for transformation

Jaideep Kaneria, Sakshi Sharma
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Abstract

Life sciences industry is witnessing a paradigm shift of evidence-based approach from population to patient level. This shift is being supported by structured evidence generation methodologies like Systematic Literature Review (SLR), Real World Evidence (RWE), and others to support regulatory, clinical and policy level decision making. The amalgamation of SLR, with real world data and quantitative techniques like Meta-Analysis, Network Meta-Analysis represent highest level of evidence generation. However, the current state of generating SLR, involves manual and labor-intensive process with high dependency on developed countries. The various stakeholders worldwide viz: researchers and policy makers are demanding technology levers to optimize the end-to-end SLR process. As the future of evidence generation will be more complex, industry should        invest in smart, intelligent, and connected technology and science-based ecosystem to disrupt and        transform existing manual process. This article presents the SLR trends, challenges and potential transformation use case leveraging technology, global capability, and capacity harmonization.
系统文献综述:转型的机会
生命科学行业正见证着从人群到患者水平的循证方法的范式转变。这种转变得到了结构化证据生成方法的支持,如系统文献综述(SLR)、真实世界证据(RWE)等,以支持监管、临床和政策层面的决策。SLR与现实世界的数据和定量技术(如meta分析、网络meta分析)的融合代表了最高水平的证据生成。然而,目前的单反生产状态,涉及人工和劳动密集型的过程,高度依赖于发达国家。世界各地的利益相关者:研究人员和政策制定者都要求技术杠杆来优化端到端的单反过程。由于未来的证据生成将更加复杂,行业应投资于智能、智能和互联技术以及基于科学的生态系统,以颠覆和改变现有的人工流程。本文介绍了单反趋势、挑战和利用技术、全球能力和容量协调的潜在转换用例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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