Applications of information and communications technologies to public health: A scoping review using the MeSH term  “public health informatics”

Bhattarai, Arjun Kumar; Zarrin, Aein; Lee, Joon

doi:10.5210/ojphi.v9i2.7985

Cited by 4 publications

(6 citation statements)

References 23 publications

(27 reference statements)

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“…As expected in this section of the Yearbook, the use of digital sources for infectious diseases surveillance leads to many research reports 11 . The originality here is the use of data coming from the EHR 12 , Twitter 8 , or the climate data produced by the US National Aeronautics and Space Administration (NASA) with software 13 dedicated to following the occurrence of infectious disease epidemics of either influenza 8 12 or malaria 13 .…”

Section: Outlook and Conclusionmentioning

confidence: 77%

Artificial Intelligence in Public Health and Epidemiology

Thiébaut

Thiessard

Informatics³

2018

Yearb Med Inform

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Section: Outlook and Conclusionmentioning

confidence: 77%

Artificial Intelligence in Public Health and Epidemiology

Thiébaut

Thiessard

Informatics³

2018

Yearb Med Inform

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“…Population health can have the most impact on health informatics research. Recently, Bhattarai et al [ 10 ] investigated how information and communications technologies (ICTs) were applied to public health and found that “communicable disease monitoring,” “public health policy and research,” and “public health awareness” are the most common public health domains interacting with ICTs. One of the limitations of their study is that, by only using one MeSH tag as a selection criterion, publications without the “public medical informatics” MeSH term were excluded from their dataset.…”

Section: Discussionmentioning

confidence: 99%

“…The effectiveness and safety of HIT must be evaluated scientifically before it can be used by doctors, patients, and consumers. For example, Bhattarai et al [ 10 ] reported that inconsistent results exist regarding the validity of most of the informatics indicators when various predictors are used for disease surveillance and emergency monitoring, such as syndromic surveillance, dispatch calls, over-the-counter drug sales, and school absenteeism. They suggest additional studies should be conducted to further investigate the validity of such predictions.…”

Section: Discussionmentioning

confidence: 99%

“…To characterize the landscape of academic research in MI around the world or in China, previous researchers either used publication data collected in terms of informatics-related concepts, such as the Medical Subject Headings (MeSH) “Public Medical informatics” [ 10 , 11 ], or specialty journals [ 12 ]. However, MI is a multidisciplinary field; data from specialty concepts and journals may not reflect the activities outside of the MI communities.…”

Section: Introductionmentioning

confidence: 99%

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Measuring the Interactions Between Health Demand, Informatics Supply, and Technological Applications in Digital Medical Innovation for China: Content Mapping and Analysis

Du¹,

Chen²,

Zhang³

2021

JMIR Med Inform

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Background There were 2 major incentives introduced by the Chinese government to promote medical informatics in 2009 and 2016. As new drugs are the major source of medical innovation, informatics-related concepts and techniques are a major source of digital medical innovation. However, it is unclear whether the research efforts of medical informatics in China have met the health needs, such as disease management and population health. Objective We proposed an approach to mapping the interplay between different knowledge entities by using the tree structure of Medical Subject Headings (MeSH) to gain insights into the interactions between informatics supply, health demand, and technological applications in digital medical innovation in China. Methods All terms under the MeSH tree parent node “Diseases [C]” or node “Health [N01.400]” or “Public Health [N06.850]” were labelled as H. All terms under the node “Information Science [L]” were labelled as I, and all terms under node “Analytical, Diagnostic and Therapeutic Techniques, and Equipment [E]” were labelled as T. The H-I-T interactions can be measured by using their co-occurrences in a given publication. Results The H-I-T interactions in China are showing significant growth and a more concentrated interplay were observed. Computing methodologies, informatics, and communications media (such as social media and the internet) constitute the majority of I-related concepts and techniques used for resolving the health promotion and diseases management problems in China. Generally there is a positive correlation between the burden and informatics research efforts for diseases in China. We think it is not contradictory that informatics research should be focused on the greatest burden of diseases or where it can have the most impact. Artificial intelligence is a competing field of medical informatics research in China, with a notable focus on diagnostic deep learning algorithms for medical imaging. Conclusions It is suggested that technological transfers, namely the functionality to be realized by medical/health informatics (eg, diagnosis, therapeutics, surgical procedures, laboratory testing techniques, and equipment and supplies) should be strengthened. Research on natural language processing and electronic health records should also be strengthened to improve the real-world applications of health information technologies and big data in the future.

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“…From the view of bibliometric analysis, [23] documents can be organized by theme (e.g., BC) on a topical entity (e.g., author or affiliated country) for a specific feature (e.g., citations and publications). The subthemes can be determined by clustering medical subject headings (MeSH terms) [24,25] using social network analysis (SNA). [26,27] The second motivation was to investigate what subthemes (denoted by MeSH terms) were different in proportional counts between China and the United States.…”

Section: Different Article Themes Conducted In Countriesmentioning

confidence: 99%

Using Sankey diagrams to explore the trend of article citations in the field of bladder cancer: Research achievements in China higher than those in the United States

2022

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Background: Urology authors are required to evaluate research achievements (RAs) in the field of bladder cancer (BC). However, no such bibliometric indices were appropriately applied to quantify the contributions to BC in research. In this study, we examined 3 questions: whether RAs in China are higher than those in the United States, how the Sankey-based temporal bar graph (STBG) may be applied to the analysis of the trend of article citations in the BC field, and what subthemes were reflected in China’s and the United States’ proportional counts in BC articles. Methods: Using the PubMed search engine to download data, we conducted citation analyses of BC articles authored by urology scholars since 2012. A total of 9885 articles were collected and analyzed using the relative citations ratios (RCRs) and the STBG. The 3 research goals were verified using the RCRs, the STBG, and medical subject headings (MesH terms). The choropleth map and the forest plot were used to 1 highlight the geographical distributions of publications and RCRs for countries/regions and 2 compare the differences in themes (denoted by major MeSH terms on proportional counts using social network analysis to cluster topics) between China and the United States. Results: There was a significant rise over the years in RCRs within the 9885 BC articles. We found that the RCRs in China were substantially higher than those in the United States since 2017, the STBG successfully explored the RCR trend of BC articles and was easier and simpler than the traditional line charts, area plots, and TBGs, and the subtheme of genetics in China has a significantly higher proportion of articles than the United States. The most productive and influential countries/regions (denoted by RCRs) were {Japan, Germany, and Italy} and {Japan, Germany, New York}, respectively, when the US states and provinces/metropolitan cities/areas in China were separately compared to other countries/regions. Conclusions: With an overall increase in publications and RCRs on BC articles, research contributions assessed by the RCRs and visualized by the STBGs are suggested for use in future bibliographical studies.

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Applications of information and communications technologies to public health: A scoping review using the MeSH term “public health informatics”

Cited by 4 publications

References 23 publications

Artificial Intelligence in Public Health and Epidemiology

Artificial Intelligence in Public Health and Epidemiology

Measuring the Interactions Between Health Demand, Informatics Supply, and Technological Applications in Digital Medical Innovation for China: Content Mapping and Analysis

Using Sankey diagrams to explore the trend of article citations in the field of bladder cancer: Research achievements in China higher than those in the United States

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