An empirical study of the antecedents of data completeness in electronic medical records |
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| Institution: | 1. Faculty of Engineering and Information Technology, University of Technology Sydney, Australia;2. Department of Information Systems, College of Business, University of Nevada, Reno, USA;1. Panasonic Avionics Corporation, USA;2. The University of North Carolina at Greensboro, USA;3. Princess Nourah Bint Abdulrahman University, Saudi Arabia;1. School of Business, Taishan University, Taian, 271000, China;2. Post-Doctoral Scientific Research Workstation, China Merchants Bank, Shenzhen, 518040, China;3. College of Business and Administration, Zhejiang University of Technology, Hangzhou, 310014, China;4. School of Management, Huazhong University of Science and Technology, Wuhan, 430074, China;1. College of Economics and Management, Northeast Agricultural University, Harbin 150040, China;2. Glorious Sun School of Business and Management, Donghua University, Shanghai 200051, China;3. School of Cultural Industries and Tourism, Xiamen University of Technology, Xiamen 361024, China;1. University of Sussex Business School, University of Sussex, United Kingdom;2. School of Management, Royal Holloway, University of London, United Kingdom;3. Kent Business School, University of Kent, United Kingdom |
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| Abstract: | There is a body of research that highlights the role of data management to improve the quality of data, which in return improves organizational performance. The literature in data management has indicated the five theoretical constructs used to understand the factors influencing data quality, including top management support, capability on the regulation and process management, business-IT alignment, staff participation, and integration of information systems. However, it is unclear how these theoretical constructs can be utilized to understand the antecedents of data completeness as a dimension of data quality. Following that stream of research, the current paper examines the factors influencing data completeness in electronic medical records (EMR). The scope of this study is by only surveying medical professionals at healthcare settings in northern Nevada. The empirical results reveal that resources should be added as one of the antecedents of data completeness in EMR. |
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| Keywords: | Data quality Data completeness Electronic medical records |
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