Abstract
BackgroundThe application of artificial intelligence techniques for processing electronic health records data plays increasingly significant role in advancing clinical decision support. This study conducts a quantitative comparison on the research of utilizing artificial intelligence on electronic health records between the USA and China to discovery their research similarities and differences.MethodsPublications from both Web of Science and PubMed are retrieved to explore the research status and academic performances of the two countries quantitatively. Bibliometrics, geographic visualization, collaboration degree calculation, social network analysis, latent dirichlet allocation, and affinity propagation clustering are applied to analyze research quantity, collaboration relations, and hot research topics.ResultsThere are 1031 publications from the USA and 173 publications from China during 2008–2017 period. The annual numbers of publications from the USA and China increase polynomially. JAMIA with 135 publications and JBI with 13 publications are the top prolific journals for the USA and China, respectively. Harvard University with 101 publications and Zhejiang University with 12 publications are the top prolific affiliations for the USA and China, respectively. Massachusetts is the most prolific region with 211 publications for the USA, while for China, Taiwan is the top 1 with 47 publications. China has relatively higher institutional and international collaborations. Nine main research areas for the USA are identified, differentiating 7 for China.ConclusionsThere is a steadily growing presence and increasing visibility of utilizing artificial intelligence on electronic health records for the USA and China over the years. The results of the study demonstrate the research similarities and differences, as well as strengths and weaknesses of the two countries.
Highlights
The application of artificial intelligence techniques for processing electronic health records data plays increasingly significant role in advancing clinical decision support
1031 records from the United States (USA) and 173 records from China were obtained for comparison analysis
The publication counts for both two countries are overall showing increasing trends in fluctuation
Summary
The application of artificial intelligence techniques for processing electronic health records data plays increasingly significant role in advancing clinical decision support. This study conducts a quantitative comparison on the research of utilizing artificial intelligence on electronic health records between the USA and China to discovery their research similarities and differences. The field of utilizing artificial intelligence techniques on EHRs data processing has attracted increasing interests from scientific community, reflected by the increasing of publications from major scientific literature databases such as Web of Science (WoS) and PubMed. The USA and China are top 2 largest economies in the world. Bibliometrics involves statistical analysis of written publications It has been the method of choice for quantitative assessments of academic research to comprehensively explore the research advances in the past and identify future research trends in a specific field [3]. It has been adopted to the evolution of interdisciplinary research field, e.g., natural language processing in medical research [6], natural language processing empowered mobile computing research [7], technology enhanced language learning research [8], and text mining in medical research [9]
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