Factors affecting implemetation of E-medical records in selected public hospitals in Nairobi, Kenya
Patients' medical histories are documented using medical records. These records must accompany the patients over the course of their lifetimes. Until recently in the 1990's, the majority of medical records were maintained on paper and kept in a paper folder. Healthcare institutions are now moving away from traditional paper-based records to electronic based records. Entire medical histories are to be recreated in a digital format as the healthcare field incorporates more technology into its daily practices. Although many healthcare institutions have adopted Electronic Medical Record (EMR) systems, the goals of comprehensive, continuous and patient-centered care have not occurred due to lack of mechanisms that provide practitioners timely .and efficient access to the patient's complete health history. The Electronic Medical Record integrates patient information systems so that patient demographic, financial and medical information can be collected, accessed, transmitted and stored in a readily available digital format. EMR technology represents a movement from paper-based care activities toward outcome-focused, evidenced based processes. This shift can be an agent for change and improvement by eliminating confusing or illegible hand-written order documentation, minimizing transcription errors and fundamentally reducing clinical mistakes. Most importantly EMR technology allows physicians fast access to appropriate patient• information allowing prompt diagnosis and treatment. Thus, to be able to retrieve patient's health record timely and efficiently, EMR systems should be adopted. This would greatly improve on the efficiency and effectiveness of services offered in the hospitals. The objectives of this study were: to examine how user acceptance, costs, corporate culture, training, hardware and software affects implementation of EMR. The study design used for the study is descriptive. The study population is 240 respondents, to obtain data stratified sampling technique was used to obtain a sample size of 120 respondents. Data was collected through semi structured questionnaire and will be analyzed using graphs, tables, bar and pie charts. Statistical package for social studies (spss) was used in analyzing the data.