Electronic medical records (EMRs) or electronic health records have been in use for years in hospitals around the world as a time-saving system for patient record keeping. Despite its widespread use, some physicians disagree with the assertion that EMRs save time. The purpose of this study was to explore whether any time saved with the use of the EMR system was actually devoted by doctors to patient-care and thereby to improved patient-care efficiency. The conceptual support for this study was predicated employing the task-technology fit theory. Task-technology theorists argue that information technology is likely to have a positive impact in individual performance and production timeliness if its capabilities match the task that the user must perform. The research questions addressed the use of an EMR system as a time-saving device, its impact on the quality of patient-care, and how it has influenced patients' access to healthcare in Nigeria. In this research, a comparative qualitative case study was conducted involving 2 hospitals in Nigeria, one using EMRs and another using paper-based manual entry. A purposeful sample of 12 patients and 12 physicians from each hospital was interviewed. Data were compiled and organized using Nvivo 10 software for content analysis. Categories and recurring themes were identified from the data. The findings revealed that reduced patients' registration processing time gave EMR-using doctors more time with their patients, resulting in better patient care. These experiences were in stark contrast to the experiences of doctors who used paper-based manual entry. This study supports positive social change by informing decision makers that time saved by implementing EMR keeping may encourage doctors to spend more time with their patients, thus improving the general quality of healthcare in Nigeria.
Identifer | oai:union.ndltd.org:waldenu.edu/oai:scholarworks.waldenu.edu:dissertations-1533 |
Date | 01 January 2015 |
Creators | Abimbola, Isaiah Gbenga |
Publisher | ScholarWorks |
Source Sets | Walden University |
Language | English |
Detected Language | English |
Type | text |
Format | application/pdf |
Source | Walden Dissertations and Doctoral Studies |
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