Implementing Agile Scrum in Dental Clinic Finance Software Development
Keywords:
Finance Software, Agile Methodology, Dental ClinicsAbstract
This research addresses a crucial problem in the financial management of dental clinics in the digital era, requiring effective solutions to enhance efficiency and quality of dental healthcare services. The Agile Scrum methodology is implemented in the development of financial software for dental clinics as a responsive and adaptive solution to the complexity of financial processes, limited financial resources, and the need for real-time monitoring. Through a combination of qualitative interviews with stakeholders and quantitative data analysis, this study evaluates the effectiveness of Agile Scrum in addressing financial management challenges faced by dental clinics. The research findings indicate that the implementation of Agile Scrum in financial software development has made a significant contribution by improving operational efficiency, accuracy of financial management, and user satisfaction, thereby making an important contribution to enhancing the quality of dental healthcare services.
Downloads
References
Alami, A., Krancher, O., & Paasivaara, M. (2022). The journey to technical excel-lence in agile software development. Information and Software Technology, 150. https://doi.org/10.1016/j.infsof.2022.106959
Alami, A., Zahedi, M., & Krancher, O. (2023). Antecedents of psychological safety in agile software development teams. Information and Software Technology, 162. https://doi.org/10.1016/j.infsof.2023.107267
Al-Hassan, M., & AlQahtani, S. (2019). Preparedness of dental clinics for medical emergencies in Riyadh, Saudi Arabia. Saudi Dental Journal, 31(1), 115–121. https://doi.org/10.1016/j.sdentj.2018.11.006
Almeida, F., Simões, J., & Lopes, S. (2022). Exploring the Benefits of Combining DevOps and Agile. Future Internet, 14(2). https://doi.org/10.3390/fi14020063
Al-Saqqa, S., Sawalha, S., & Abdelnabi, H. (2020). Agile software development: Methodologies and trends. International Journal of Interactive Mobile Tech-nologies, 14(11). https://doi.org/10.3991/ijim.v14i11.13269
Bhat, S., Birajdar, G. K., & Patil, M. D. (2023). A comprehensive survey of deep learning algorithms and applications in dental radiograph analysis. In Healthcare Analytics (Vol. 4). Elsevier Inc. https://doi.org/10.1016/j.health.2023.100282
Bomström, H., Kelanti, M., Annanperä, E., Liukkunen, K., Kilamo, T., Sievi-Korte, O., & Systä, K. (2023). Information needs and presentation in agile software de-velopment. Information and Software Technology, 162. https://doi.org/10.1016/j.infsof.2023.107265
Chau, R. C. W., Thu, K. M., Yu, O. Y., Hsung, R. T. C., Lo, E. C. M., & Lam, W. Y. H. (2024). Performance of Generative Artificial Intelligence in Dental Licensing Examinations. International Dental Journal. https://doi.org/10.1016/j.identj.2023.12.007
Cheng, F. C., Chang, W. C., & Chiang, C. P. (2023). Specific actions of Taiwan’s dental community for the one health issue. In Journal of Dental Sciences. As-sociation for Dental Sciences of the Republic of China. https://doi.org/10.1016/j.jds.2023.12.014
Das, A. K., Islam, M. N., Billah, M. M., & Sarker, A. (2021). COVID-19 pandemic and healthcare solid waste management strategy – A mini-review. In Science of the Total Environment (Vol. 778). Elsevier B.V. https://doi.org/10.1016/j.scitotenv.2021.146220
Dingsoeyr, T., Falessi, D., & Power, K. (2019). Agile Development at Scale: The Next Frontier. In IEEE Software (Vol. 36, Issue 2, pp. 30–38). IEEE Computer Society. https://doi.org/10.1109/MS.2018.2884884
Estrada-Esponda, R. D., López-Benítez, M., Matturro, G., & Osorio-Gómez, J. C. (2024). Selection of software agile practices using Analytic hierarchy process. Heliyon, 10(1). https://doi.org/10.1016/j.heliyon.2023.e22948
Hasan, R., Ta, A.-, & Razali, R. (2013). Prioritizing Requirements in Agile Devel-opment : A Conceptual Framework. Procedia Technology, 11(Iceei), 733–739. https://doi.org/10.1016/j.protcy.2013.12.252
Lee, E. W. J., Lim, V. S. H., & Ng, C. J. K. (2022). Understanding public perceptions and intentions to adopt traditional versus emerging investment platforms: The effect of message framing and regulatory focus theory on the technology acceptance model. Telematics and Informatics Reports, 8, 100024. https://doi.org/10.1016/j.teler.2022.100024
Leong, J., May Yee, K., Baitsegi, O., Palanisamy, L., & Ramasamy, R. K. (2023). Hy-brid Project Management between Traditional Software Development Lifecy-cle and Agile Based Product Development for Future Sustainability. Sustainability, 15(2), 1121. https://doi.org/10.3390/su15021121
Mahdi, S. S., Battineni, G., Khawaja, M., Allana, R., Siddiqui, M. K., & Agha, D. (2023). How does artificial intelligence impact digital healthcare initiatives? A review of AI applications in dental healthcare. In International Journal of In-formation Management Data Insights (Vol. 3, Issue 1). Elsevier B.V. https://doi.org/10.1016/j.jjimei.2022.100144
Meiliana, Daniella, G., Wijaya, N., Putra, N. G. E., & Efata, R. (2023). Agile Soft-ware Development Effort Estimation based on Product Backlog Items. Proce-dia Computer Science, 227, 186–193. https://doi.org/10.1016/j.procs.2023.10.516
Michalides, M., Bursac, N., Nicklas, S. J., Weiss, S., & Paetzold, K. (2023). Analyzing current Challenges on Scaled Agile Development of Physical Products. Procedia CIRP, 119, 1188–1197. https://doi.org/10.1016/j.procir.2023.02.188
Mishra, A., & Alzoubi, Y. I. (2023). Structured software development versus agile software development: a comparative analysis. International Journal of Sys-tem Assurance Engineering and Management. https://doi.org/10.1007/s13198-023-01958-5
Montoya, C., Roldan, L., Yu, M., Valliani, S., Ta, C., Yang, M., & Orrego, S. (2023). Smart dental materials for antimicrobial applications. Bioactive Materials, 24, 1–19. https://doi.org/10.1016/j.bioactmat.2022.12.002
Najihi, S., Elhadi, S., Abdelouahid, R. A., & Marzak, A. (2022). Software Testing from an Agile and Traditional view. Procedia Computer Science, 203, 775–782. https://doi.org/10.1016/j.procs.2022.07.116
Ramli, H., Yusop, N., Ramli, R., Berahim, Z., Peiris, R., & Ghani, N. (2023). Applica-tion of neurotransmitters and dental stem cells for pulp regeneration: A re-view. In Saudi Dental Journal (Vol. 35, Issue 5, pp. 387–394). Elsevier B.V. https://doi.org/10.1016/j.sdentj.2023.05.004
Rindell, K., Ruohonen, J., Holvitie, J., Hyrynsalmi, S., & Leppänen, V. (2021). Securi-ty in agile software development: A practitioner survey. Information and Soft-ware Technology, 131. https://doi.org/10.1016/j.infsof.2020.106488
Sachedina, T., Sohal, K. S., Owibingire, S. S., & Hamza, O. J. M. (2023). Reasons for Delay in Seeking Treatment for Dental Caries in Tanzania. International Dental Journal, 73(2), 296–301. https://doi.org/10.1016/j.identj.2022.07.012
Santos, R., Cunha, F., Rique, T., Perkusich, M., Almeida, H., Perkusich, A., & Icaro Costa, ´. (n.d.). A Comparative Analysis of Agile Teamwork Quality Instru-ments in Agile Software Development: A Qualitative Approach. https://doi.org/10.18293/DMSVIVA2023-217
Shrivastava, S. V., & Rathod, U. (2014). Risks in Distributed Agile Development: A Review. Procedia - Social and Behavioral Sciences, 133, 417–424. https://doi.org/10.1016/j.sbspro.2014.04.208
Shu, H., Yu, X., Zhu, X., Zhang, F., He, J., Duan, X., Liu, M., Li, J., Yang, W., & Zhao, J. (2024). Visualisation of Droplet Flow Induced by Ultrasonic Dental Cleaning. International Dental Journal. https://doi.org/10.1016/j.identj.2023.12.005
Song, C., Liu, R., Kong, B., Gu, Z., & Chen, G. (2024). Functional hydrogels for treatment of dental caries. In Biomedical Technology (Vol. 5, pp. 73–81). KeAi Communications Co. https://doi.org/10.1016/j.bmt.2023.05.002
Suharto, M. F., Kawet, R. S. S. I., & Tumanduk, M. S. S. S. (2018). A Comparative Study of the Traditional Houses Kaili and Bugis-Makassar in Indonesia. IOP Conference Series: Materials Science and Engineering, 306(1). https://doi.org/10.1088/1757-899X/306/1/012077