ABSTRACT
Background: Electronic Medical Record (EMR) offers remarkable facilities such as reducing medical errors, decreasing healthcare costs and promoting quality of healthcare services by collecting, storing and displaying information at the point of care.
Aims: This study was carried out to identify the determinants of electronic medical record (EMR) adoption by presenting a comprehensive model.
Methods: This was a cross-sectional study in which 330 healthcare personnel working in hospitals affiliated to Tehran University of Medical Sciences, Tehran, Islamic Republic of Iran, were selected as the study sample. A proposed conceptual path model of technology, organization and environment (TOE), and technology acceptance model (TAM) was developed to identify the determinants of EMR adoption. The model was authorized by structural equation modeling (SEM) and represented by Analysis of Moment Structures (AMOS).
Results: The results of the study showed that the integrated model of TOETAM explained 68 percent (R2 = 0.68) of the variance of EMR adoption. The findings also evidenced that perceived ease of use, perceived usefulness, technological context, organization context and environmental context have significant effect on EMR adoption.
Conclusions: The study findings suggest that the proposed conceptual integrated model of TOETAM is a favourable model for identifying the relevant factors of EMR adoption. The present study clearly recognized nine significant determinants that affect end-users intention when comprehensive implementation of ERMs is considered
ABSTRACT
This study aimed to assess the efficiency of delivering a 4-month course of “effective literature search” among medical postgraduate students for improving information literacy skills. This was a cross-sectional study in which 90 postgraduate students were randomly selected and participated in 12 training sessions. Effective search strategies were presented and the students' attitude and competency concerning online search were measured by a pre- and post-questionnaires and skill tests. Data were analyzed by SPSS version 16 using t-test. There was a significant improvement (p=0.00), in student's attitude. The mean (standard deviation [SD]) was 2.9 (0.8) before intervention versus the mean (SD) 3.9 (0.7) after intervention. Students'familiarity with medical resources and databases improved significantly. The data showed a significant increase (p=0.03), in students' competency score concerning search strategy design and conducting a search. The mean (SD) was 2.04 (0.7) before intervention versus the mean (SD) 3.07 (0.8) after intervention. Also, students' ability in applying search and meta search engine improved significantly. This study clearly acknowledges that the training intervention provides considerable opportunity to improve medical student's information literacy skills.