Evaluation of Electronic Medical Record Implementation from User’s Perspectives in Ayder Referral Hospital Ethiopia

Abstract

Background: It is widely recognized that the Electronic Medical Record (EMR) has the potential to become the core electronic information and communication system in the health care sector. Implementation of an EMR system increases efficiency and quality of health services, and Users satisfaction. Successful implementation depends on many factors, one of which is how users respond to the new system. Yet no evaluation studies have been on EMR implementation effectiveness at in Ethiopia. To evaluate the EMR implementation effectiveness in Ayder Referral Hospital. Methods:A cross sectional study design was used to assess the availability, use, and usability performance and users satisfaction level of an EMR system implemented at Ayder Referral Hospital. A sample size of 271 was calculated and simple random sampling technique was employed. Data was collected using structured, self-administered questionnaire. The Collected data was entering to SPSS version 20 and clean. Result:The majority of the participants were nurses (64%) and physicians (27%). Availability of computer with EMR installed was (91.8%), and 90.2% of respondents having good typing ability and they were inputting patient data easily. Regarding utilization of the system (94.9%) of respondents use the system daily. The usefulness of the system to obtain the result from clinical laboratory and Follow the result of particular Test was (87.5% and 86.3% respectively). The overall level of utilization dimension was 87.6%. The user satisfactions with four sub-dimension of the system like with context (66.8%), with usefulness (65.6%), with ease of learn (62.6%) and with ease of use (67.4%) of the system. Then, (65.6%) of the total respondents satisfied with overall of the system. The results of overall EMR implementation effectiveness were 73.5% which is rated as good. Conclusion:Utilization rate was high and more than half of the respondents were satisfied with the overall of using the system. At the end the overall effectiveness of EMR implementation was good. There should be improving the lower dimensions such as available more computers in all sites, users support and arrange refreshment training.

Electronic medical record use and associated factors among healthcare professionals at public health facilities in Dire Dawa, eastern Ethiopia: A mixed-method study

“…This study revealed that only a quarter of health professionals were using EMRs. This finding indicated low use compared with a finding in the USA (13), Hyder hospital in Tigray, and Amhara states in Ethiopia (24,30,31). None of the urban health facilities had a fully functional EMR system.…”

Electronic Medical Record Use and Associated Factors in Diredawa, Eastern Ethiopia. A mixed Method Study

“…This nding is low compared to a nding in USA 13 , Hyder hospital in Tigray and Amhara states in Ethiopia. 23,30,31 None of the urban health facilities had fully functional EMR system. Few service delivery units such as ART clinics and patient registration o ces were using EMR system in conjunction with paper based records.…”

Development of Standard Indicators to Assess Use of Electronic Health Record Systems Implemented in Low- and Medium-Income Countries

“…First, we developed the indicators in-line with the internationally renowned PEPFAR Monitoring, Evaluation, and Reporting (MER) indicators Reference Guide (34). Secondly, the development process was mainly based on methodological criteria that are valid everywhere (47,48) Furthermore, the indicators are not system-speci c and hence can be used to evaluate usage of other types of EHRs, including other clinical information systems implementations like laboratory, radiology, and pharmacy systems. However, we recognize that differences exist in systems database structure; hence, the queries to determine indicator measures data from within each system will need to be customized and system-speci c. It is important to also point out that these indicators are not based on real-time measures and can be applied both for point of care and non-point of care systems.…”