Volume 24, Issue 2 (7-2021)
jha 2021, 24(2): 70-82 |
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Ahmadi M, karimi M, Baluchnejad Mojarad T. Developing a Dashboard for Alzheimer's Disease Registry System. jha 2021; 24 (2) :70-82
URL: http://jha.iums.ac.ir/article-1-3449-en.html
URL: http://jha.iums.ac.ir/article-1-3449-en.html
1- Professor, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran.
2- M.Sc. Student, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran. ,karimi.mahdieh.70@gmail.com
3- Professor, School of Medicine, Iran University of Medical Sciences, Tehran, Iran.
2- M.Sc. Student, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran. ,
3- Professor, School of Medicine, Iran University of Medical Sciences, Tehran, Iran.
Abstract: (2284 Views)
Introduction: Alzheimer's disease registry system is of great help in generating big data through collecting data over time. Visual analysis tools such as dashboards can be used to convert this data into knowledge. Based on the needs of stakeholders, we in the present study determined the key indicators of Alzheimer's disease; then, based on the Alzheimer's disease registry system, we designed and evaluated the dashboard.
Methods: In the first stage, we determined the key performance indicators through a questionnaire completed by 31 members of the Alzheimer's disease research core at Iran University of Medical Sciences. In the second stage, we designed the dashboard based on previous studies and using QlickView software. Finally, we designed the dashboard by the System Usability Scale which was conducted by four members of the Alzheimer's disease research core and three medical and health information technology graduates.
Results: Among the 15 key performance indicators approved by members of the Alzheimer's disease registry, three indicators have got the highest score; these indicators are as follows: the ratio of patients with a history of mental disorders compared to the total number of patients, the ratio of patients with a history of depression compared to the total number patients, and comparing the prevalence and incidence of the total population. Then, we evaluated the usability of the dashboard by the system usability scale whose average score was 71.7.
Conclusion: Implementing the Alzheimer's disease dashboard will play an important role in meeting the needs of each stakeholder and increasing the ability to analyze information in order to make better decisions.
Methods: In the first stage, we determined the key performance indicators through a questionnaire completed by 31 members of the Alzheimer's disease research core at Iran University of Medical Sciences. In the second stage, we designed the dashboard based on previous studies and using QlickView software. Finally, we designed the dashboard by the System Usability Scale which was conducted by four members of the Alzheimer's disease research core and three medical and health information technology graduates.
Results: Among the 15 key performance indicators approved by members of the Alzheimer's disease registry, three indicators have got the highest score; these indicators are as follows: the ratio of patients with a history of mental disorders compared to the total number of patients, the ratio of patients with a history of depression compared to the total number patients, and comparing the prevalence and incidence of the total population. Then, we evaluated the usability of the dashboard by the system usability scale whose average score was 71.7.
Conclusion: Implementing the Alzheimer's disease dashboard will play an important role in meeting the needs of each stakeholder and increasing the ability to analyze information in order to make better decisions.
Keywords: Dashboard, key performance indicators, evaluation, Alzheimer’s disease, Registration system
Type of Study: Research |
Subject:
Health Information Management
Received: 2021/01/18 | Accepted: 2021/06/20 | Published: 2021/09/11
Received: 2021/01/18 | Accepted: 2021/06/20 | Published: 2021/09/11
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