Abstract
Digital technologies offer the potential to transform health care. Electronic Medical Record (EMR) is used to make paperless computerized patient data in order to increase efficiency of hospital systems and reduce chances of human errors. Its level of implementation is usually assessed using an EMR Adoption Model (EMRAM).
Highlights
Since the 1990 we have witnessed a substantial development in the field of telemedicine and eHealth
Electronic medical record (EMR) are defined as patient treatment records, including a patient’s background information and history of patient care, that maintained within a hospital or an outpatient clinic
The aim of this paper is to review the process of implementation of EMR with special emphasis on tools for assessing the level of implementation
Summary
Since the 1990 we have witnessed a substantial development in the field of telemedicine and eHealth. 2. Implementation of Electronic medical record Large-scale expenditure on eHealth is usually justified on the grounds that electronic health records (EHRs), picture archiving and communication systems (PACS), electronic prescribing (ePrescribing) and associated computerized provider order entry systems (CPOE) and computerized decision support systems (CDSSs) will help to minimize the problem of uneven quality and improve safety of health services. EMR may include mobile solutions for both patients and healthcare professionals [9] It may facilitate conduction multicenter registries that monitor the quality of care or provide aggregated data for comparative effectiveness research [10]. Among issues relevant for the adoption of EMR/EHR for everyday clinical practice, system usability is considered to be of major importance It is followed by functionality, speed, support for hardware and software, required learning time, typing proficiency, understanding of the EMR system as a whole, motivation and user-developed strategies [12]. There is a problem of communication between systems provided by different manufacturers, as data sharing is often difficult and require additional proprietary solutions [14, 15]
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