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dc.contributor.authorEverleen Wanyonyi, Anthony Rodrigues, Silvance O Abeka, Solomon Ogara
dc.date.accessioned2021-01-12T06:10:10Z
dc.date.available2021-01-12T06:10:10Z
dc.date.issued2017
dc.identifier.urihttps://repository.maseno.ac.ke/handle/123456789/3556
dc.description.abstractElectronic Health Record (EHR) systems enhance efficiency and effectiveness in handling patients ‘information in healthcare. This study focused on the EHR security by initially establishing the nature of threats affecting the system and reviewing the implemented security safeguards. The study was done at a referral hospital (level 6) government facility in Kenya. Purposive sampling was used to select a sample of 196 out of 385 staff and a questionnaire designed for qualitative data collection. Data was analyzed using SPSS software. Correlations and binary logistic regression were obtained. Binary Logistic Regression (BLR) was used to establish the effect of the safeguards (predictors) on EHR security. It was established that physical security contributes more to the security of an information system than administrative controls and technical controls in that order. BLR helped in predicting effective safeguards to control EHR security threats in limited resourced public health facilities.en_US
dc.publisherIJSTRen_US
dc.subjectelectronic health records, cyber security, safeguards, binary logit functionen_US
dc.titleEffectiveness of Security Controls On Electronic Health Recordsen_US
dc.typeArticleen_US


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