Emerging technologies and global health: a systematic review generating bibliometric evidence for innovation management

Abstract

Objective To obtain quantitative evidence for innovation management on Emerging Technologies and Global Health from existing scientific research with a bibliometric approach. Design This study generates quantitative evidence for healthcare innovation policy making, offering new insights: first, innovation quality can be measured through dynamic interactions among key innovation elements; second, as emerging technologies are impacting global health in an interdisciplinary and fast-changing manner, new theories and tools that suit the planetary innovation ecosystem need to be established. The evidence contains two aspects, the intellectual base and the research front. The software used is Citespace V.6.1.R3 and Python. Data source This study scanned the Web of Science Core Collection with an extensive range of research themed around emerging technologies and global health, resulting in a dataset of 9738 items of science literature between 2017 and 2021. Eligibility criteria for selecting studies This dataset contains literature across sciences and social sciences in the form of journal research articles, excluding systematic reviews and surveys. The search includes literature in all languages. Results This study presents the landscape of emerging technology and global health, depicts the quality of innovation, and reveals the innovation trends. It demonstrates the major players and major sources of innovation, captures innovation foci and detects research blanks. Conclusion This bibliometric analysis, which is conducted on scientific research, outlines the quality and impact of innovation in Emerging Technologies and Global Health. It shows the importance of Research and Development for generating quantitative evidence for innovation management policy making.