Exploring the Landscape, Hot Topics, and Trends of Electronic Health Records Literature with Topics Detection and Evolution Analysis

Abstract

Electronic health records (EHRs)-related publications grow rapidly. It is helpful for experts and scholars in various disciplines to better understand the research landscape, hot topics, and trends of EHRs. We collected 13,438 records of EHRs research literature bibliometrics data from the Web of Science. We mainly performed the descriptive statistical analysis, social network analysis, and topic modeling with lda2vec to reveal the publications growth trend, research subjects distribution, and topics of EHRs researches. The EHRs research mainly included four topics: (i) population health, disease risk prediction, and primary care; (ii) technology, ethics, and privacy security; (iii) quality improvement, user acceptance, and engagement; (iv) information systems application and impact. EHRs have gone through the establishment, utilization, and high-level development and application. Research topics emerging in recent years have primarily focused on the social determinants of health, the application of deep learning models, the development and utilization of the patient portal, the mining of explicit and tacit knowledge, and the provision of decision support.

Keywords

• Electronic health records
• Bibliometrics
• Social network analysis
• lda2vec