PreprintArticleVersion 1Preserved in Portico This version is not peer-reviewed
Expert Radiology Application Softwares Enhance Radiology Diagnosis Contributions And Challenges By A Historical Review of Informetric Analysis From 1991 To 2021
Version 1
: Received: 11 November 2021 / Approved: 12 November 2021 / Online: 12 November 2021 (17:06:10 CET)
How to cite:
Chao, C.; Hsu, M. Expert Radiology Application Softwares Enhance Radiology Diagnosis Contributions And Challenges By A Historical Review of Informetric Analysis From 1991 To 2021. Preprints2021, 2021110239. https://doi.org/10.20944/preprints202111.0239.v1
Chao, C.; Hsu, M. Expert Radiology Application Softwares Enhance Radiology Diagnosis Contributions And Challenges By A Historical Review of Informetric Analysis From 1991 To 2021. Preprints 2021, 2021110239. https://doi.org/10.20944/preprints202111.0239.v1
Chao, C.; Hsu, M. Expert Radiology Application Softwares Enhance Radiology Diagnosis Contributions And Challenges By A Historical Review of Informetric Analysis From 1991 To 2021. Preprints2021, 2021110239. https://doi.org/10.20944/preprints202111.0239.v1
APA Style
Chao, C., & Hsu, M. (2021). Expert Radiology Application Softwares Enhance Radiology Diagnosis Contributions And Challenges By A Historical Review of Informetric Analysis From 1991 To 2021. Preprints. https://doi.org/10.20944/preprints202111.0239.v1
Chicago/Turabian Style
Chao, C. and Ming-Hung Hsu. 2021 "Expert Radiology Application Softwares Enhance Radiology Diagnosis Contributions And Challenges By A Historical Review of Informetric Analysis From 1991 To 2021" Preprints. https://doi.org/10.20944/preprints202111.0239.v1
Abstract
In all areas of medicine, especially in radiology, computers are increasing year by year. Filmless radiology, speech recognition software, electronic application forms, and teleradiology are recent developments that have greatly improved radiologists' performance. This research explores radiology software trends, predictions, and the challenges posed by informatics and historical trend analysis. The rationale behind this research is that information technology (IT) is overgrowing almost every day. We must continuously seek new ways to apply IT to make more use of resources. Consequently, IT becomes increasingly crucial to radiology organizations' innovative thinking, workflow, and business models. This study aimed to analyze all radiology software publications in the Science Citation Index (SCI). From 1991 to July 2021, SCI was used to search for publications systematically. We have also widely used this historical method in radiology software research. The findings and discussions are base on an assessment of trends, predictions, contributions, and challenges in radiology software, and we are exploring radiology software with six evolutionary stages. The gift of this research is that radiology managers realize that the use of new information technologies is closely related to survival in a competitive environment. Radiology companies can review these new technologies to develop more innovative business models and services to improve operational deficiencies.
Keywords
radiology information systems; radiology education system; radiology operation software; information technology; computer-aided diagnosis system
Subject
Engineering, Electrical and Electronic Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
