Artículo

Implementation of large-scale health information systems

Resumen

Purpose The study aims to analyze the previous literature on government initiatives to implement health information systems (HISs). Design/methodology/approach Proknow-C (Knowledge Development Process-Constructivist) was used in the selection of the literature and in the bibliometric and systematic analysis. Findings The research identified a portfolio composed of 33 articles aligned with the research theme and with scientific recognition, as well as periodicals, authors, papers and keywords that stood out the most. Amongst the government initiatives in the 24 identified countries, England has been the most studied nation, and there is a certain prominence of research arising from developed countries. Electronic health records (EHRs) have been the most explored technology. Efficiency and safety of health care delivery, integration of information and among health organizations, cost reduction and economicity are the most expected benefits from government programs. The difficulties found are related to the broader context in which the system is inserted, to the management of the program, to technology itself and to individuals. The most emphasized difficulties identified in most countries were previous context marked by a lack of standardization/interoperability, acceptance of providers and users and project financing. The findings of the present article provide a theoretical framework for future studies, in addition to yielding a replicable process for future use. Originality/value This research may be considered original as it analyzes – through a constructivism-structured process (Proknow-C) – the phenomenon under investigation by gathering bibliometric and systematic review data concomitantly. The countries and technologies reported emerge from the process itself.
Peng, Tao (59188417100); Yang, Yifan (59187808400); Ma, Jingying (57732415600); Xu, Peili (59188218100); Xie, Xinchun (59188417200); Hu, Nan (59187397000); Yan, Yongmei (57198951256)
Dementia and metabolic syndrome: a bibliometric analysis
2024
10.3389/fnagi.2024.1400589
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85196848883&doi=10.3389%2ffnagi.2024.1400589&partnerID=40&md5=55f54f62e787cce03108af6a75b78da0
First Clinical Medical College, Shaanxi University of Chinese Medicine, Shaanxi, Xianyang, China; Department of Encephalopathy, Affiliated Hospital of Shaanxi University of Chinese Medicine, Shaanxi, Xianyang, China
All Open Access; Gold Open Access
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