Electronic Health Records (EHR) Usability and User Experience Evaluation: A Case Study

Manual medical record documents have a high risk of leakage and loss. This is because the storage is only in the cupboard. In Indonesia, Electronic Health Records (EHR) have been widely adopted. Clinics, the Rumah Keluarga Sehat Clinic located in Jember Regency. The implemented EHR is a complement to the manual medical record. To obtain a successful EHR implementation, it is necessary to evaluate the usability and user experience. Usability testing is an evaluation method that involves end users in the system development process. This study aims to evaluate the usability and user experience of the EHR developed at the Rumah Keluarga Sehat Clinic. Tests were carried out using the System Usability Scale (SUS) and User Experience Questionnaire (UEQ) instruments. Instruments were given to 7 respondents consisting of doctors, medical recorders, admins, and pharmacists at Rumah Keluarga Sehat Clinic, Jember. The results of the usability evaluation with SUS showed a score of 77.14 which indicated the Good category. And the UEQ results show above-average results on a scale (perspicuity and dependability), and excellent on 4 scales (attractiveness, efficiency, stimulation, and novelty). The results of the evaluation with 2 instruments show that the developed EHR has met the user's needs.Manual medical record documents have a high risk of leakage and loss. This is because the storage is only in the cupboard. In Indonesia, Electronic Health Records (EHR) have been widely adopted. Clinics, the Rumah Keluarga Sehat Clinic located in Jember Regency. The implemented EHR is a complement to the manual medical record. To obtain a successful EHR implementation, it is necessary to evaluate the usability and user experience. Usability testing is an evaluation method that involves end users in the system development process. This study aims to evaluate the usability and user experience of the EHR developed at the Rumah Keluarga Sehat Clinic. Tests were carried out using the System Usability Scale (SUS) and User Experience Questionnaire (UEQ) instruments. Instruments were given to 7 respondents consisting of doctors, medical recorders, admins, and pharmacists at Rumah Keluarga Sehat Clinic, Jember. The results of the usability evaluation with SUS showed a score of 77.14 which indicated the Good category. And the UEQ results show above-average results on a scale (perspicuity and dependability), and excellent on 4 scales (attractiveness, efficiency, stimulation, and novelty). The results of the evaluation with 2 instruments show that the developed EHR has met the user's needs

Health Figures: An Open Source JavaScript Library for Health Data Visualization

The way we look at data has a great impact on how we can understand it, particularly when the data is related to health and wellness. Due to the increased use of self-tracking devices and the ongoing shift towards preventive medicine, better understanding of our health data is an important part of improving the general welfare of the citizens. Electronic Health Records, self-tracking devices and mobile applications provide a rich variety of data but it often becomes difficult to understand. We implemented the hFigures library inspired on the hGraph visualization with additional improvements. The purpose of the library is to provide a visual representation of the evolution of health measurements in a complete and useful manner. We researched the usefulness and usability of the library by building an application for health data visualization in a health coaching program. We performed a user evaluation with Heuristic Evaluation, Controlled User Testing and Usability Questionnaires. In the Heuristics Evaluation the average response was 6.3 out of 7 points and the Cognitive Walkthrough done by usability experts indicated no design or mismatch errors. In the CSUQ usability test the system obtained an average score of 6.13 out of 7, and in the ASQ usability test the overall satisfaction score was 6.64 out of 7. We developed hFigures, an open source library for visualizing a complete, accurate and normalized graphical representation of health data. The idea is based on the concept of the hGraph but it provides additional key features, including a comparison of multiple health measurements over time. We conducted a usability evaluation of the library as a key component of an application for health and wellness monitoring. The results indicate that the data visualization library was helpful in assisting users in understanding health data and its evolution over time.Comment: BMC Medical Informatics and Decision Making 16.1 (2016

Evaluating the Acceptance and Use of an Electronic Medical record at a Student-Run Free Clinic

This study is an evaluation of the implementation of an Electronic Medical Record (EMR) at the Student Health Action Coalition (SHAC), a student-run free clinic. The implementation is evaluated in light of the constructs of performance expectancy, effort expectancy, and facilitating conditions presented in the Unified Theory for Acceptance and Use of Technology (UTAUT). The methodology encompassed nine one-on-one interviews with SHAC volunteers to learn their perspectives on the EMR. Findings show that use of and acceptance of the EMR at SHAC is influenced mainly by the performance and effort expectancy the volunteer associates with it and by the facilitating conditions supporting the system. Training volunteers more extensively on how to use the system may improve the efficiency of the EMR implementation. This research contributes to the field of medical informatics and may be of interest to other small clinics that are in the process of adopting and implementing an EMR