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

 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.

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.

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

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.