Designing Dashboard for Healthcare and Resource Information for CHUK.
Health data and resource management pose significant challenges to healthcare systems in resource-limited settings, such as Rwanda. At the University Teaching Hospital of Kigali (CHUK), outdated paper-based systems and fragmented data sources contribute to inefficiencies in patient care, delayed decision-making, and suboptimal performance. The lack of a centralized dashboard for real-time data access further exacerbates issues related to resource management and patient safety. Method:To ensure a user-centered design, a structured questionnaire was administered to 162 respondents, including both medical and nonmedical staff at CHUK. Key features such as data visualization, accessibility, and integration with the existing OpenClinic Electronic Medical Records (EMR) system were identified as priorities. The dashboard was developed using Vue.js and Tailwind CSS for the front end, with PHP, Laravel framework for the back end, and MySQL as the database. An iterative development process was used, incorporating stakeholder feedback to continuously refine the prototype and ensure alignment with user needs. Results:The user assessment identified critical needs for the dashboard, with 86% of users recommending key performance indicators such as the total number of patients per department and disaggregation by diagnosis. The findings also demonstrated a significant positive relationship between the dashboard and stakeholders' data management priorities (r=0.921,p=0.000r = 0.921, p = 0.000r=0.921,p=0.000), emphasizing its impact on clinical care quality. Conclusion:In conclusion, the development of a healthcare and resource management dashboard for CHUK represents a transformative opportunity to improve decision-making, reporting accuracy, and overall healthcare delivery. The successful implementation of the dashboard will enhance operational efficiency, and it is recommended that CHUK staff actively support its adoption to maximize its impact.
Authors
- M. Emmanuel
- Ndayambaje Jean Pierre
- Marara Alpha Arsene
- Rugamba Rugero Fiacre
Publication Details
- Journal
- International Journal of Advances in Engineering and Management
- Published
- 2024-12-01
- DOI
- https://doi.org/10.35629/5252-0612432440
- Citations
- 1
- Primary Topic
- Artificial Intelligence in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 0.71