Combined Bibliometric and Text-Mining Analysis of Scientific Productions in PubMed Database in the Field of Electronic Health Records

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Shokouhian Mahboobeh; ASEMI ASEFEH; SHABANI AHMAD; CHESHMEH SOHRABI MOZAFAR

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

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Paper Information

Journal: Journal of Health Information Management Year:2019 | Volume:16 | Issue:4 (68) Page(s): 190-196

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Title

Combined Bibliometric and Text-Mining Analysis of Scientific Productions in PubMed Database in the Field of Electronic Health Records

Author(s)

Shokouhian Mahboobeh | ASEMI ASEFEH | SHABANI AHMAD | CHESHMEH SOHRABI MOZAFAR | Issue Writer Certificate

Keywords

PubMedQ1

Scientific ProductionsQ1

Electronic Health RecordsQ1

BibliographyQ1

Text MiningQ2

Abstract

Introduction: Access to patient’ s complete information is critical in improving clinical care and reducing medical errors. Electronic Health Record is a collection of individuals' health information, from prenatal to posthumous, which is stored electronically, is available at any center and at any time, and is an integral part of an integrated health information system. The purpose of the present study was bibliometric and text-mining analyze of scientific products in the field of Electronic Health Records in PubMed database. Methods: This present study was carried out using bibliometric method and Text Mining. The study was conducted in the academic year of 2019 in PubMed database on the period of 2009-2019, and 6863 articles were selected for review. Excel, VOSviewer and Voyant were used for data analysis. Results: In the studied field, issues of Electronic Health Records, health, health care, information, health care systems were of great importance in PubMed. Developing articles in this field had been on the rise for ten years, and the United States was the most productive country in the field. David Bates, Dean Sittig, and Hardeep Singh had the most articles in the field of study. Conclusion: Each item of co-occurring vocabulary map can represent a concept or research area in health. The findings can provide a clear insight to scientific policymaking of this field to influence the allocation and distribution of resources for scientific and technical activities. It can also help researchers in selecting the state-of-the-art topics and having a comprehensive insight into the academic context of the field.

Cites

Visualizing Human Papillomavirus Conceptual Network Evolution: A Global View

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APA: Copy

Shokouhian, Mahboobeh, ASEMI, ASEFEH, SHABANI, AHMAD, & CHESHMEH SOHRABI, MOZAFAR. (2019). Combined Bibliometric and Text-Mining Analysis of Scientific Productions in PubMed Database in the Field of Electronic Health Records. HEALTH INFORMATION MANAGEMENT, 16(4 (68) ), 190-196. SID. https://sid.ir/paper/121670/en

Vancouver: Copy

Shokouhian Mahboobeh, ASEMI ASEFEH, SHABANI AHMAD, CHESHMEH SOHRABI MOZAFAR. Combined Bibliometric and Text-Mining Analysis of Scientific Productions in PubMed Database in the Field of Electronic Health Records. HEALTH INFORMATION MANAGEMENT[Internet]. 2019;16(4 (68) ):190-196. Available from: https://sid.ir/paper/121670/en

IEEE: Copy

Mahboobeh Shokouhian, ASEFEH ASEMI, AHMAD SHABANI, and MOZAFAR CHESHMEH SOHRABI, “Combined Bibliometric and Text-Mining Analysis of Scientific Productions in PubMed Database in the Field of Electronic Health Records,” HEALTH INFORMATION MANAGEMENT, vol. 16, no. 4 (68) , pp. 190–196, 2019, [Online]. Available: https://sid.ir/paper/121670/en

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