Usability Evaluation of the Electronic Medical Record of the Rapid Response Team: a Case Study

Abstract

Aim: This study was conducted to determine the usability of the rapid response team (RRT) electronic medical records (EMRs) system at an Abu-Ali-Sina organ transplant hospital, Shiraz, Iran.
 Method: This cross-sectional study was carried out in partnership with 25 direct members of RRT includes nurses and anesthesia technicians who were on the shift during the data collection for two months. To evaluate, the Questionnaire for User Interaction Satisfaction (QUIS) version 7 was used. Data were analyzed by SPSS version 19.
 Results: A total of 20 out of 25 questionnaires were obtained. Seven (25.0 %) of 27 sections were higher than seven, and all areas were higher than five. The highest rankings were for 1) reading characters on the computer screen 2) highlighting on the screen simplify task 3) overall reactions: wonderful and learning to operate the system.
 Conclusion: This study demonstrates the usability of the hospital RRT for the EMRs system and over the moderate. However, the flexibility and capability of the rapid response for EMRs tool require to be improved.

The Impact of a Web-based Clinical Decision Support System on Adherence to Venous Thromboembolism Prophylaxis Guidelines in ICU Nonsurgical Patients: A Prospective Study

“…This nding was entirely unexpected that the CDSS for recommendation VTE prophylaxis within the CPOE system had not affected ICU mortality rate and ICU length of stay. These results consist of other studies showing that CDSS for recommendation VTE prophylaxis within the CPOE system improves tailored prophylaxis orders in nonsurgical patients without affecting the patient outcome [18,30,36,37]. An important implication of this nding is that an electronic CDSS for recommendation VTE prophylaxis within the CPOE System can improve appropriate prevention without affecting patient outcomes.…”

“…A recent study found that drug recommender systems assist healthcare professionals in selecting accurate medication [41,42]. Health recommender systems have emerged as high-tech approaches to help clinicians make better prevention-related decisions [41,43]. Overa, ll this system improves clinical management and ltered VTE prophylaxis order set based on context, which is considered aed facilitator factor to clinician acceptance e medication-related CDSS [44].…”