Design a Framework of a web-based Thalassemia Management System
Akre - Gulan hospital as a case study
DOI:
https://doi.org/10.25212/lfu.qzj.7.2.40Keywords:
chronic disease, thalassemia, electronic medical record, web-based system, reminder system.Abstract
Large volumes of data are generated in contemporary medicine. However, there is always a gap between what they gather and what they perceive and interpret. Minimal data sets are created in this manner. The collecting of a significant amount of different data, which makes the conventional paper-based method difficult, is at the heart of the complex continuous care process of thalassemia patients. Adoption of electronic medical records (EMR) system is the best solution in this situation because of the documented benefits in previous studies. Thalassemia is a chronic genetic disorder of the blood and the most common genetic disorder in the world. Technology can enhance the management of thalassemia. The aim of this study is to produce a design and framework of a web-based Thalassemia Management System. This system will perform all operations related to Thalassemia patient starting from registration, to provide patient-related details, such as reports, medical records history, diagnosis, medicines and support the lifelong healthcare of patients. The technology acted as an appointment reminder, which resulted in fewer appointments being missed. In addition, the system can assist clinicians by proposing appropriate therapy depending on the results of patients' tests. Patients with thalassemia can access their medical records, which makes communication and information available to other doctors and healthcare professionals upon request. The system booked outpatient visits and issued medical appointment reminders. The SUS results confirmed that the rate of overall satisfaction was high nearly 85%, which is above average and good acceptable
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Abdulrahman, B. F., Hawezi, R. S., MR, S. M. N., Kareem, S. W., & Ahmed, Z. R. (2022). Comparative Evaluation of Machine Learning Algorithms in Breast Cancer. QALAAI ZANIST JOURNAL, 7(1), 878-902.
Agarwal, R. K., Sedai, A., Ankita, K., Parmar, L., Dhanya, R., Dhimal, S., Sriniwas, R., Gowda, A., Gujjal, P., H, P., Jain, S., Ramaiah, J. D., Jali, S., Tallur, N. R., Ramprakash, S., & Faulkner, L. (2019). Information Technology–Assisted Treatment Planning and Performance Assessment for Severe Thalassemia Care in Low- and Middle-Income Countries: Observational Study. JMIR Medical Informatics, 7(1), e9291. https://doi.org/10.2196/medinform.9291
Alfiansyah, G., Pratama, M. R., & Swari, S. J. (2021). Web-Based Patient Registration System Design Based on National Standards of Hospital Accreditation at Balung Hospital Jember in Indonesia: Proceedings of the First International Conference on Social Science, Humanity, and Public Health (ICOSHIP 2020). The First International Conference on Social Science, Humanity, and Public Health (ICOSHIP 2020), Jember, Indonesia. https://doi.org/10.2991/assehr.k.210101.014
Amin, S. S., Jalal, S. D., Ali, K. M., Mohammed, A. I., Rasool, L. K., & Osman, T. J. (2020). Beta-Thalassemia Intermedia: A Single Thalassemia Center Experience from Northeastern Iraq. BioMed Research International, 2020, 1–11. https://doi.org/10.1155/2020/2807120
Anthony, N., Molokwu, J., Alozie, O., & Magallanes, D. (2019). Implementation of a Text Message to Improve Adherence to Clinic and Social Service Appointments. Journal of the International Association of Providers of AIDS Care (JIAPAC), 18, 232595821987016. https://doi.org/10.1177/2325958219870166
Bangor, A., Kortum, P. T., & Miller, J. T. (2008). An Empirical Evaluation of the System Usability Scale. International Journal of Human-Computer Interaction, 24(6), 574–594. https://doi.org/10.1080/10447310802205776
Banjar, H. R., Zaher, G. F., Almutiry, H. S., Alshamarni, A. S. A., Almouhana, G. I., Alahwal, H. M., Bahashwan, S., Barefah, A. S., Alnajjar, S. A., & Alharbi, H. M. (2021). Web-based expert system with quick response code for beta-thalassemia management. Health Informatics Journal, 27(1), 146045822198939. https://doi.org/10.1177/1460458221989397
Boone, C. E., Celhay, P., Gertler, P., Gracner, T., & Rodriguez, J. (2022). How scheduling systems with automated appointment reminders improve health clinic efficiency. Journal of Health Economics, 82, 102598. https://doi.org/10.1016/j.jhealeco.2022.102598
Chopra, P., Gollamandala, V. S., Ahmed, A. N., Babu, S. B. G., Kaur, C., Achyutha Prasad, N., & Nuagah, S. J. (2022). Automated Registration of Multiangle SAR Images Using Artificial Intelligence. Mobile Information Systems, 2022.
Fernandez-Lazaro, C. I., García-González, J. M., Adams, D. P., Fernandez-Lazaro, D., Mielgo-Ayuso, J., Caballero-Garcia, A., Moreno Racionero, F., Córdova, A., & Miron-Canelo, J. A. (2019). Adherence to treatment and related factors among patients with chronic conditions in primary care: A cross-sectional study. BMC Family Practice, 20(1), 132. https://doi.org/10.1186/s12875-019-1019-3
Jordan, P. W. (Ed.). (1996). Usability evaluation in industry. Taylor & Francis.
Kosaryan, M., Karami, H., Darvishi-Khezri, H., Aliasgharian, A., & Bromand, K. (2019). Treatment Status of Patients with Β-Thalassemia Major in Northern Iran: Thalassemia Registry System. Iran J Public Health, 48, 11.
Lal, A., & Bansal, D. (2020). Thalassemia: Common Clinical Queries in Management. The Indian Journal of Pediatrics, 87(1), 75–81. https://doi.org/10.1007/s12098-019-03065-5
Mohammed, A. G. (2021). A Study of Scheduling Algorithms in LTE-Advanced HetNet. QALAAI ZANIST JOURNAL, 6(3), 945-968.
Muhammad, J., & Garba, S. (2019). Web-based Clinic Management System (CMS). International Journal of Science and Engineering Applications, 8(5), 131–135. https://doi.org/10.7753/IJSEA0805.1001
Noori, T., Ghazisaeedi, M., Aliabad, G., Mehdipour, Y., Conte, R., Mehraeen, E., & Safdari, R. (2019). International Comparison of Thalassemia Registries: Challenges and Opportunities. Acta Informatica Medica, 27(1), 58. https://doi.org/10.5455/aim.2019.27.58-63
Raja, M. B., Sharif, M. K., Shahid, J., Junaid, A., & Zulfqar, R. (2020). General disease awareness among parents of thalassemic children visiting government versus private care centers of Rawalpindi and Islamabad. Journal of Shifa Tameer-e-Millat University, 3(2), 88–92. https://doi.org/10.32593/jstmu/Vol3.Iss2.106
Reynolds, R., Dennis, S., Hasan, I., Slewa, J., Chen, W., Tian, D., Bobba, S., & Zwar, N. (2018). A systematic review of chronic disease management interventions in primary care. BMC Family Practice, 19(1), 11. https://doi.org/10.1186/s12875-017-0692-3
Saimanoj, K., Poojitha, G., Dixit, K. D., & Jayannavar, L. (2020). Hospital Management System using Web Technology. 4493, 4.
Sallow, A. B., Zeebaree, S. R. M., Zebari, R. R., Mahmood, M. R., Abdulrazzaq, M. B., & Sadeeq, M. A. M. (n.d.). Vaccine Tracker/SMS Reminder System: Design and Implementation. 3(2), 8.
Schwebel, F. J., & Larimer, M. E. (2018). Using text message reminders in health care services: A narrative literature review. Internet Interventions, 13, 82–104. https://doi.org/10.1016/j.invent.2018.06.002
Shah, F. T., Sayani, F., Trompeter, S., Drasar, E., & Piga, A. (2019). Challenges of blood transfusions in β-thalassemia. Blood Reviews, 37, 100588. https://doi.org/10.1016/j.blre.2019.100588
Sharma, A., Miran, A., & Ahmed, Z. R. (2022). Correction to: The 3D Facemask Recognition: Minimization for Spreading COVID-19 and Enhance Security. In ICT Analysis and Applications (pp. C1-C1). Springer, Singapore.
Shin, D. S. (2020). A Study on the Tele-medicine Robot System with Face to Face Interaction. Journal of IKEEE, 24(1), 293–301. https://doi.org/10.7471/IKEEE.2020.24.1.293
Soni, S. (2020). Gene therapies for transfusion dependent β‐thalassemia: Current status and critical criteria for success. American Journal of Hematology, 95(9), 1099–1112. https://doi.org/10.1002/ajh.25909
Teo, A. R., Metcalf, E. E., Strange, W., Call, A. A., Tuepker, A., Dobscha, S. K., & Kaboli, P. J. (2021). Enhancing Usability of Appointment Reminders: Qualitative Interviews of Patients Receiving Care in the Veterans Health Administration. Journal of General Internal Medicine, 36(1), 121–128. https://doi.org/10.1007/s11606-020-06183-5
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