نظام لإدارة و حجز المواعيد الطبية

المؤلفون

  • شفاء بن غيث المعهد العالي للعلوم و التقنية تاجورا ، قسم تقنيات الحاسوب ، ليبيا المؤلف
  • هاجر المصراتي المعهد العالي للعلوم و التقنية تاجورا ، قسم تقنيات الحاسوب ، ليبيا المؤلف
  • سالمة الجطلاوي المعهد العالي للعلوم و التقنية تاجورا ، قسم هندسة الحاسوب ، ليبيا المؤلف
  • للاهم ين دلة قسم هندسة الإلكترونيات الكهربائية، جامعة أنقرة يلدريم بيازيد، أنقرة، تركيا المؤلف
  • فكرون، أ تقنية المعلومات، كلية التقنية الصناعية، مصراتة، ليبيا المؤلف
  • آية مصطفى صالح قسم الهندسة الكهربائية والإلكترونية، كلية الهندسة، جامعة بنغازي، المرج، ليبيا المؤلف

DOI:

https://doi.org/10.65405/bsrwz870

الكلمات المفتاحية:

المواعيد الطبية، نظام حجز، ASP.NET، قاعدة بيانات، التحول الرقمي. نظام حجز المواعيد الطبية؛ ASP.NET؛ SQL Server؛ تطبيق ويب؛ نظام صلاحيات؛ إدارة المصحات

الملخص

يُعالج هذا البحث مشكلة إدارة العمليات داخل المصحات الطبية عبر تطوير نظام إلكتروني متكامل يهدف إلى تحسين كفاءة الحجز وإدارة البيانات الطبية والإدارية. يعتمد النظام على تقنية ASP.NET Web Forms بلغة C# مع قاعدة بيانات Microsoft SQL Server 2024، وفق منهجية نموذج الشلال المعدل (Modified Waterfall SDLC). يوفر النظام أربع واجهات مبنية على التحكم بالصلاحيات (RBAC): بوابة عامة للزوار لتصفح الأقسام والملفات المهنية للأطباء، وبوابة للمرضى للحجز الذكي عبر تقويم برمجي يراعي الطاقة الاستيعابية تلقائياً، وبوابة للأطباء لإدارة الجداول والملف المهني، ولوحة إدارة شاملة للتحكم بالبيانات وإصدار الفواتير والتقارير الإحصائية. تشمل قاعدة البيانات سبعة كيانات مترابطة. اعتمدت الاختبارات أساليب الصندوق الأبيض والأسود والتكامل، وأثبتت نتائجها كفاءة النظام في تحقيق أهدافه مع قابلية للتطوير المستقبلي.

 

التنزيلات

تنزيل البيانات ليس متاحًا بعد.

المراجع

1. Booch, G., Rumbaugh, J., & Jacobson, I. (2022). The unified modeling language user guide (2nd ed.). Addison-Wesley.1.

2. Elmasri, R., & Navathe, S. B. (2016). Fundamentals of database systems (7th ed.). Pearson.

3. Fowler, M. (2018). UML distilled: A brief guide to the standard object modeling language (3rd ed.). Addison-Wesley.

4. Microsoft Corporation. (2023a). ASP.NET documentation. https://learn.microsoft.com/en-us/aspnet/

5. Microsoft Corporation. (2023b). SQL Server documentation. https://learn.microsoft.com/en-us/sql/

6. Pressman, R. S. (2010). Software engineering: A practitioner's approach (7th ed.). McGraw-Hill.

7. Sommerville, I. (2016). Software engineering (10th ed.). Pearson.

8. Ben Dalla, L. O. F., Medeni, T. D., Medeni, I. T., & Ulubay, M. (2025). Enhancing Healthcare Efficiency at Almasara Hospital: Distributed Data Analysis and Patient Risk Management. Economy: Strategy and Practice, 19(4), 54–72. https://doi.org/10.51176/1997-9967-2024-4-54-72

9. Dalla, L. B., Karal, Ö., Essgaer, M., Swissi, Y., & El-Sseid, M. (2026, April). Minority-Class Internet of Things Anomaly Detection via Deep Learning Models Using CESNET-TimeSeries24 Dataset. In 2026 IEEE 5th International Maghreb Meeting of the Conference on Sciences and Techniques of Automatic Control and Computer Engineering (MI-STA) (pp. 385-392). IEEE.‏ https://doi.org/10.1109/MI-STA68962.2026.11511194

10. Abas, A., Essgaer, M., & Dalla, L. B. (2026, April). Explainable Ensemble Learning for Student Dropout Prediction in Conflict-Affected Educational Systems. In 2026 IEEE 5th International Maghreb Meeting of the Conference on Sciences and Techniques of Automatic Control and Computer Engineering (MI-STA) (pp. 427-434). IEEE.‏ https://doi.org/10.1109/MI-STA68962.2026.11511168

11. Dalla, L. O. F. B. (2020). Modeling by using Generic Modeling Environment (GME) Domain specific modeling language (DSL) for agile software development (ASD) types.‏

12. Бен Далла Л., Медени Т.Д., Медени И.Т., Улубай М. Повышение эффективности здравоохранения в больнице Алмасара: анализ распределенных данных и управление рисками для пациентов. Economy: strategy and practice. 2024;19(4):54-72. https://doi.org/10.51176/1997-9967-2024-4-54-72

13. FARAJ, L. O. (2017). OBSERVATIONS ON EVOLUTION OF LEAN SOFTWARE DEVELOPMENT (LSD).‏ 88 pages.https://tez.yok.gov.tr/UlusalTezMerkezi/tezDetay.jsp?id=R_EJxYiWWNffOuWM4F4eXQ&no=fiwArXgOvJPKmFC-nX3H-w

14. Dalla, L. O. F. B. (2020). IT security Cloud Computing.‏ . In 2020 IT security Cloud Computing Applications Conference (ITSCC) (pp. 1-10). IEEE.‏ https://doi.org/10.16377/ITSCC 50717.2020.9259880

15. Degirmenci, A., & Karal, O. (2022). iMCOD: Incremental multi-class outlier detection model in data streams. Knowledge-Based Systems, 258, 109950.‏ https://doi.org/10.1016/j.knosys.2022.109950

16. Alsharif, A., Solman, F. I., Gheidan, A. A. S., Ahmed, A. A., Dalla, L. O. F. B., Alsharif, M. A., ... & Imbayah, I. (2026). Photovoltaic Cells: Principles of Operation and Performance Characteristics. Journal of Scientific and Human Dimensions, 718-748.‏ https://doi.org/10.65421/jshd.v2i1.122

17. Alsharif, A., Ahmed, A. A., Musa, Z. A., Dalla, L. O. F. B., & Nouh, A. (2026). Drugs: The Path of Darkness Between Religious Awareness and Societal Loss. International Journal of Academic Publishing in Educational Sciences and Humanities (IJAPESH), 2(1), 49-56.‏

18. Hawa Ahmed Alrawayati, Ümit Tokeşer. (2025).Spectral Integral Variation of Graph Theory. Asian Journal of Mathematics and Computer Research.32, Issue, 2. Pages(151-160). https://www.elibrary.ru/item.asp?id=82163806

19. Alrawayati, H., & Tökeşer, Ü. (2021). PARKINSON’S DISEASE DIAGNOSIS BASED ON THE CONVOLUTIONAL NEURAL NETWORK AND PARTICLE SWARM OPTIMIZATION ALGORITHM. Asian Journal of Mathematics and Computer Research, 28(1), 26-37.‏

20. Hawa Ahmed Alrawayati, Ümit Tokeşer. (2025).Spectral Integral Variation of Graph Theory. Asian Journal of Mathematics and Computer Research.32, Issue, 2. Pages(151-160). https://www.elibrary.ru/item.asp?id=82163806.

21. Hawa Alrawayati (2020). Development of High Efficiency Optimization Algorithm based on New Topology in Particle Swarm Optimization for Parkinson’s Disease. IOSR Journal of Mathematics (IOSR-JM). 8

22. Hawa Alrawayati. (2016). (المعادلة التكاملية ونواة المؤثر ) Integral Equation and Kernel Operator‎.مجلة الساتل - جامعة مصراته. 63 – 76

23. Dalla, L. O. B., Essgaer, M., Jetlawei, S. S., EL-sseid, M., Alsharif, A., & Agila, A. A. A. (2026). Local Precision and Global Harmony: A Comparative Literature Review (LR) Framework for Taylor and Fourier Series in Engineering Modeling. Al-Farooq Journal of Sciences, 2(1), 275-304.‏

24. Dalla, L. O. B., Essgaer, M., Jetlawei, S. S., EL-sseid, M., Alsharif, A., & Agila, A. A. A. (2026). Local Precision and Global Harmony: A Comparative Literature Review (LR) Framework for Taylor and Fourier Series in Engineering Modeling. Al-Farooq Journal of Sciences, 2(1), 275-304.‏

25. A-abdullatef, M. M., Albaraesi, M. J. S., EL-sseid, M. A. M., Dalla, L. O. B., Ahmed, A. A., Agila, A., & Alsharif, A. (2026). Tri-Conditional Biomechanical Signature Extraction: A Hybrid Framework Integrating Multivariate Functional Clustering, Cross-Modal Regression, and Inter-Subject Classification for Discriminative Gait Pattern Analysis. Comprehensive Science Journal, 10(39), 1063-1087. https://doi.org/10.65405/0j1byd74

26. Elghaffi, F. S. A. (2026). Temporal Dynamics in Intraoperative Monitoring: A Novel LSTM-Based Framework for Multivariate Time Series Classification in Critical Care Events. Temporal Dynamics in Intraoperative Monitoring: A Novel LSTM-Based Framework for Multivariate Time Series Classification in Critical Care Events.‏ https://cjos.histr.edu.ly/index.php/journal

27. Elghaffi, F., Mohammed, O., Dalla, L., Ahmed, A., Agila, A., & EL-Sseid, M. (2026). Hybrid Matrix-Ensemble Framework for Chronic Kidney Disease Diagnosis. Wadi Alshatti University Journal of Pure and Applied Sciences, 4(1), 263-276. https://doi.org/10.63318/waujpasv4i1_28

28. DALLA, L. B. (2020). The Sustainable Efficiency of Modeling a Correspondence Undergraduate Transaction Framework by using Generic Modeling Environment (GME. Ben Dalla.‏ International Journal of Engineering and Modern Technology E-ISSN 2504-8848 P-ISSN 2695-2149 . Vol 6 No 1 2020 www.iiardpub.org‏

29. Dalla, L. B., Karal, Ö., Essgaer, M., Swissi, Y., & El-Sseid, M. (2026, April). Minority-Class Internet of Things Anomaly Detection via Deep Learning Models Using CESNET-TimeSeries24 Dataset. In 2026 IEEE 5th International Maghreb Meeting of the Conference on Sciences and Techniques of Automatic Control and Computer Engineering (MI-STA) (pp. 385-392). IEEE.‏ https://doi.org/10.1109/MI-STA68962.2026.11511194

30. Abas, A., Essgaer, M., & Dalla, L. B. (2026, April). Explainable Ensemble Learning for Student Dropout Prediction in Conflict-Affected Educational Systems. In 2026 IEEE 5th International Maghreb Meeting of the Conference on Sciences and Techniques of Automatic Control and Computer Engineering (MI-STA) (pp. 427-434). IEEE.‏ https://doi.org/10.1109/MI-STA68962.2026.11511168

31. Kosalairaman, T., Maalini, D., Kiruthika, R., Janani, S. K., Nithya, T., & Pavithra, P. (2025, April). Smart Health Consulting and Appointment Booking System with Real-Time Scheduling and Patient-Doctor Communication. In 2025 3rd International Conference on Artificial Intelligence and Machine Learning Applications Theme: Healthcare and Internet of Things (AIMLA) (pp. 1-6). IEEE.‏

32. Adebayo, T. O. (2025). A SUSTAINABLE ERA FRAMEWORK FOR WEB-BASED MEDICAL APPOINTMENT AND EVALUATION MANAGEMENT IN HEALTHCARE DELIVERY. Computer Engineering and Intelligent System Journal, 13(4), 1-18.‏

33. Kothiya, B. (2025). Market analysis of an appointment booking system: understanding market demand and innovation in appointment scheduling systems.‏

34. Nguyen, D. Q. (2025). Healthcare Appointment And Consultation System (Doctoral dissertation, Vietnam-Korea University of Information and Communication Technology).‏

35. Shirumalla, V., & Dolja-Gore, X. (2025). Implementation of a New Booking System to Reduce Unfulfilled Allied Health Appointments in a public pain unit:“NO SHOW,” NO GAIN!.‏

36. Aye, K. C., Htwe, S. H., & Aung, S. (2025). Assessment of outpatient department online booking system at Yangon General Hospital. Journal of Hospital Management and Health Policy, 9, 18.‏

37. Kammrath Betancor, P., Boehringer, D., Jordan, J., Lüchtenberg, C., Lambeck, M., Ketterer, M. C., ... & Reich, M. (2025). Efficient patient care in the digital age: impact of online appointment scheduling in a medical practice and a university hospital on the “no-show”-rate. Frontiers in Digital Health, 7, 1567397.‏

38. Toffaha, K., Simsekler, M. C. E., Sleptchenko, A., Kortt, M. A., & Omar, M. A. (2025). A Knowledge-Based Probabilistic Framework for Enhancing Reliability in Healthcare Appointment Scheduling. IEEE Access, 13, 193215-193231.‏

39. Reddy, K. V., Saketh, G., Priyanshu, S. S., Nitesh, M., Hussain, S. K., & Sharma, K. V. (2025). AI-driven healthcare management platform: enhancing accessibility, efficiency, and security in digital health systems. Synthesis: A multidisciplinary research journal, 3(1), 1-14.‏

40. Ding, Y., Gupta, D., & Zhou, S. (2026). Early reservation for follow-up appointments: Enhancing patient care continuity. Manufacturing & Service Operations Management.‏

41. Wood, K. V., Frings, D., Flood, C., & Thomas, N. (2025). Artificial intelligence machine learning-driven outpatient appointment management: A qualitative study on acceptability. Digital Health, 11, 20552076251321016.‏

42. Hawa Alrawayati. (2016). Integral Equation and Kernel Operator. Al-Satel Journal - Misrata University. 63-76

43. Hawa Alrawayati. (2013). (المؤثرات الخطية المحدودة على فضاء هلبرت) • Finite linear operators on Hilbert spaces‎.مجلة جامعة الزيتونة.184-193

44. Chantar, H., Tubishat, M., Essgaer, M., & Mirjalili, S. (2021). Hybrid binary dragonfly algorithm with simulated annealing for feature selection. SN computer science, 2(4), 295.‏

45. Siraj, F., & Abdoulha, M. A. (2009, May). Uncovering hidden information within university's student enrollment data using data mining. In 2009 Third Asia International Conference on Modelling & Simulation (pp. 413-418). IEEE.‏

46. Thakre, D. J., Bisane, V. D., Kumbhare, B., & Kanekar, Y. (2025). Encrypted Cloud-Based Health Appointment System Using AI.‏

47. Vozna, A., Monaldini, A., Costantini, S., Pitoni, V., & Pado, D. (2026). An ASP-based solution to the medical appointment scheduling problem. arXiv preprint arXiv:2601.04274.‏

48. Singh, A., Saraswat, N., Bansal, M. K., & Kumar, S. (2025). A Multilingual Voice-Enabled Smart Health Monitoring System for Real-Time and Accessible Healthcare. Methodology.‏

49. Chandrakala, C. B., Somarajan, P., Sumith, N., Davanagere, V., Bhambri, A., & Prabhala, P. (2025). Helperly: An All-Inclusive Healthcare Application. International Journal of Interactive Mobile Technologies, 19(9).‏

50. Uchechukwu, B. N., & Ohinameuwa, A. (2025). Enhanced Health (Record) Information Management System Using Mobile Application Development Framework. Journal of Science and Technology, 30(3).‏

51. Adita, I., & Widyarto, S. (2025, August). Analysis and Specifications for Appointment System Requirements at Pratama Clinics (Case study at the Indonesian Ministry of Religion Affairs). In Proceedings of the Informatics Conference (Vol. 11, No. 22, pp. 34-39).‏

52. Alnnale, T. (2026). Predictive Governance in Digital Enterprises: An LSTM-Enhanced Deep Learning Framework for Economic Optimization of IT Incident Management Using Enriched Process Logs. Al-Farooq Journal of Sciences, 2(3), 86-113.‏

53. Algallay, A., Aljamah, A., & Troug, M. (2026). Key Performance Indicators (KPIs) for Assessing Sustainable Homes: Towards the Establishing of a Sustainability Index–The Case of Libya. Al-Farooq Journal of Sciences, 2(3), 205-226.‏

54. Abdulla, M. E., & ALMUSI, A. E. (2026). MACHINE LEARNING TECHNIQUES IN SKIN TUMOR IDENTIFICATION. Al-Farooq Journal of Sciences, 2(3), 243-256.‏

55. Shaltami, O. R., Hkoma, M. A. B., Algomati, A. E., & Mohammed, A. A. F. K. (2026). War and Weapon Geochemistry: Key Areas, Applications and Impact on the Sustainable Development Goals. Al-Farooq Journal of Sciences, 2(2), 168-181.‏

التنزيلات

منشور

2026-06-06

كيفية الاقتباس

نظام لإدارة و حجز المواعيد الطبية. (2026). مجلة العلوم الشاملة, 11(41), 383-395. https://doi.org/10.65405/bsrwz870