Practices Towards Electronic Medical Records Implementation at MOI Level 5 Hospital Taita Taveta County.
DOI:
https://doi.org/10.14738/assrj.74.8113Abstract
Electronic Medical Records is the use of information and communication technology (ICT) for health care systems. Although Electronic Health Records has been discoverable for decades, hospitals, doctors and other caregivers have been slow to adopt them. Inadequate use of technology leads to a decrease of provision of service quality. Embracing modern technology is one among very many ways of improving efficiency and reducing costs within healthcare organizations. EMR helps to get rid of missing records, duplication of records, minimize the cost of services, saves time and enhances co-ordination between healthcare providers.
Objective: The broad objectives of the study was to practises towards implementation of Electronic Medical Record systems at Moi Level 5Hospital Taita Taveta County.
Methods: This study used descriptive study design. The study population that was used are all health workers that are privy to information that was influencing implementation of EMR. The researcher applied census sampling method where the entire health workers were questioned. A questionnaire was used to collect data. The researcher pre-tested the data collection tool to check on the validity and reliability of the results. The pre-tested data was arranged systematically according to the codes of the questionnaires to facilitate analysis. The researcher used a number of software packages to facilitate data analysis. The software packages include Microsoft word and Microsoft Excels for calculation practices. Also researcher made use of calculator in the study.
Results and Discussion:Results show that at Moi hospital 85.25% of the respondents had not received any form of training and only 14.71% had received training, out of the 68 respondents, 86.76% had not received further follow up after the training, and 13.24% received follow up after the training. It was concluded that practices towards EMR implementation were found to influence and correlated to the adoption of EMR. Most healthcare workers reported that they had neither received any form of training nor any further follow-up. The findings indicated a significant positive relationship thus attributing to the low implementation of EMR. It was recommended that including ICT in the curriculum of medical courses as this will give them ownership and confidence to use the technology once they join the practicing field and this will assist in the adoption of EMR by the physicians. After the first formal training of the healthcare practitioners a very good follow-up mentorship should follow to provide the necessary technical support and this will help the healthcare providers to get sufficient experience to be comfortable in the use the EMR system.
Conclusions: Organizational factors were an important contributor to implementation of EMR system. The results indicated a significant relationship between the factors and adoption of EMR and this meant that adoption of EMR was affected by organizational factors, practices towards EMR implementation were found to influence and correlated to the adoption of EMR. Most healthcare workers reported that they had neither received any form of training nor any further follow-up. The findings indicated a significant positive relationship thus attributing to the low implementation of EMR. Also, the findings indicated a moderate positive significant relationship between technical factors and adoption of EMR and this meant that adoption of EMR was affected by technical factors.
Recommendation: Including ICT in the curriculum of medical courses as this will give them ownership and confidence to use the technology once they join the practicing field and this will assist in the adoption of EMR by the physicians. After the first formal training of the healthcare practitioners a very good follow-up mentorship should follow to provide the necessary technical support and this will help the healthcare providers to get sufficient experience to be comfortable in the use the EMR system. The ministries of health to consider having sufficient health care providers to meet the need of the ever increasing number
References
Akiyama, M. (2015). Transforming healthcare with information technology in Nigeria: A review of policy, people and progress. International Journal of Medical Informatics, 80:157-70.
Broekhuis, M. (2010).Barriers to the acceptance of electronic medical records by physicians from systematic review to taxonomy and interventions. Boonstra and Broekhuis BMC Health Services Research, 10, 231. Retrieved on 24-06-2015 from http://www.biomedcentral.com/1472-6963/10/231.
Claret, P.-G,Sebanne,M.,,Bobbia,X.,Bonnec,J.-M.,Pommet,S.,Jebali,C.,&de la Coussaye,J.-E.(2017)First medical contact and physicians opinion after the implementation on an electronic record system.The American Journal of Emergency Medicine 30(7),1235-40.doi:10.1016/J.ajem.2011.06.014
Hoerbst N, Barron Y, Kern LM, Dhopeshwarkar RV, Edwards A, Kaushal R (2014).Attitude and behaviour related to the introduction of EHR among Australia and Germany citizens .International Journal of Medical
Informatics79(2010)(81-89)
Jones, S. S., Heaton, P. S., Rudin, R. S., & Schneider, E. C. (2012). Unraveling the IT productivity paradox—lessons for health care. New England Journal of Medicine, 366(24), 2243-2245.
Ludwick, D. (2018). Primary care physicians‟ experience with electronic medical records: Barriers to implementation in a fee-for-service environment. International Journal of Telemedicine and Applications. doi:10.1155/2009/853524
Makori, A and Musoke, M., (2013). User issues on the adoption of health informatics systems in level 5 hospitals in Nyanza, Kenya. Interdisciplinary Journal of Contemporary Research in Business; 5(1)
Meade, B., Buckley, D., & Boland, M. (2013). What factors affect the use of electronic patient records by Irish GPs?. International journal of medical informatics, 78(8), 551-558.
Ministry of Health. (2010). Standards and Guidelines for Electronic Medical record Systems in Kenya. Information Systems.Government of Kenya press.
Ministry of Health. National health system strategic plan(2009-2014). Government of Kenya press
Muchangi, D. M. & Nzuki, D. (2014).Determinants of Electronic Health in Developing Countries. International Journal of Arts and Commerce, 3 (3), 4960.
Mugenda, A, G (2008). Social Science research; Theory and Principles. Applied Research and Training Services, Kijabe printing Press, Nairobi
Omary, Z., Lupiana, D., Mtenzi, F. & Wu, B. (2009). Challenges to E-Healthcare Adoption in Developing Countries: A Case Study of Tanzania. First International Conference on Networked Digital Technologies, Ostrava.
Omary, Z., Lupiana, D., Mtenzi, F., & Wu, B. (2013). Analysis of the Challenges Affecting E- healthcare Adoption in Developing Countries : A Case of Tanzania Analysis of the Challenges Affecting E-healthcare Adoption in Developing Countries : A Case of Tanzania. International Journal of Information Studies, 2(1), 38–50.
S. Omambia and G W ,Odhiambo(2016) The Implementation Criteria of a Health Management Information System.ISJRP.
Shachak, A., Hadas-Dayagi, M., Ziv, A., & Reis, S. (2016). Primary care physicians’ use of an electronic medical record system: a cognitive task analysis. Journal of general internal medicine, 24(3), 341-348.
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