UroSystemTests: An Information System to improve the Management of Urine Analysis Test

  • Dixon Salcedo Universidad de la Costa
  • Albeiro Cortes-Cabezas Universidad Surcolombiana
  • Ernesto Fabio Esmeral Romero
  • Inirida Avendaño Villa
  • Luis Fernando Ramos Barrera
  • Edinson Cortés Cabezas
  • Carlos Henríquez Universidad del Magdalena
Keywords: : Hospital information, : Hospital information, Open-Source, HL7-FHIR, Web-based services, Urinalysis tests

Abstract

Currently, hospitals in Huila-Colombia need hospital information systems to ensure the integrity and availability of patient information and to make patient information available online. Although systems are necessary for many activities, hospitals in Huila do not have information systems. Consequently, health personnel use unstructured methods to access data, which leads to inadequate decision making. Therefore, this work presents the design and implementation of an information system to optimize the process of urinalysis test management in hospitals in Huila, which improves access to information. The implemented system uses the HL7-FHIR standard, on Open-Source platforms, and Web-based, scalable, and compatible with other hospital information systems. Finally, the proposed solution minimizes access and management times of the integral tests performed by the medical team.

References

Al-Shammari, N., Abdulrahman Al-Modahka, E. Al-Ansari, Mohammad Al-Kandari, Khaled A. Ibrahim, Jasem Al-Sanea, Reem Al-Sabah y Ahmed N. Albatineh. (2020). «Prevalence of depression, anxiety, and their associations among end-stage renal disease patients on maintenance hemodialysis: a multi-center population-based study». https://doi.org/10.1080/13548506.2020.1852476 26(9):1134–42. doi: 10.1080/13548506.2020.1852476.

Almuarik, A. A. (2023). Laboratory information systems: Enhancing efficiency and quality in healthcare. Journal of Healthcare Engineering and Technology.

Ayaz, Muhammad, Muhammad F. Pasha, Mohammed Y. Alzahrani, Rahmat Budiarto, y Deris Stiawan. 2021. «The Fast Health Interoperability Resources (FHIR) Standard: Systematic Literature Review of Implementations, Applications, Challenges and Opportunities». JMIR Med Inform 2021;9(7):e21929 https://medinform.jmir.org/2021/7/e21929 9(7):e21929. doi: 10.2196/21929.

Bender, Duane, y Kamran Sartipi. (2013). «HL7 FHIR: An agile and RESTful approach to healthcare information exchange». Proceedings of CBMS 2013 - 26th IEEE International Symposium on Computer-Based Medical Systems 326-31. doi: 10.1109/CBMS.2013.6627810.

Cai, X., Zhang, Y., Liu, H., Chen, J., & Wang, L. (2025). Optimizing clinical laboratory efficiency through digital shadow technology and Lean Six Sigma methodology. BMC Medical Informatics and Decision Making.

Chernecky, C., y B. Berger. (2013). «Laboratory Tests and Diagnostic Procedures 6th Edition». Elsevier Saundres, St. Louis 1232:808-9.

Cook, C. E., Xiaoqing Fu, Y. Zhang, John H. Stone, Hyon K. Choi, y Zachary S. Wallace. (2021). «Validation of Antineutrophil Cytoplasmic Antibody–Associated Vasculitis as the Cause of End-Stage Renal Disease in the US Renal Data System». ACR Open Rheumatology. doi: 10.1002/ACR2.11359.

Francis, A., Harhay, M. N., Ong, A. C. M., Tummalapalli, S. L., Ortiz, A., Fogo, A. B., Fliser, D., Roy-Chaudhury, P., Fontana, M., Nangaku, M., Wanner, C., & others. (2024). Chronic kidney disease and the global public health agenda: An international consensus. Nature Reviews Nephrology, 20, 473–485. https://doi.org/10.1038/s41581-024-00820-6

Gertrudiz, Nancy. s. f. «Salud-e: El caso de México | Latin American Journal of Telehealth». Latin American Journal of Telehealth. Recuperado el 13 de julio de 2022 (http://150.164.90.7/revista/index.php/rlat/article/view/71).

Ghosh, S. K., Bandyopadhyay, A., Saha, S., & others. (2024). Investigation on explainable machine learning models to predict chronic kidney disease. Scientific Reports, 14, Article 4089. https://doi.org/10.1038/s41598-024-54375-4

Health Level Seven International. (2024). FHIR overview. HL7 International.

Hitzeman, N., Greer, D., & Carretero, M. (2022). Office-based urinalysis: A comprehensive review. American Family Physician, 106(1), 27–35.

Kanda, E., Ai, M., Yoshida, M., Kuriyama, R., Shiigai, T., & others. (2023). Machine-learning-based Web system for the prediction of chronic kidney disease progression and mortality. PLOS Digital Health, 2(1), e0000188. https://doi.org/10.1371/journal.pdig.0000188

Kidney Disease: Improving Global Outcomes (KDIGO) CKD Work Group. (2024). KDIGO 2024 clinical practice guideline for the evaluation and management of chronic kidney disease. Kidney International, 105(4S), S117–S314. https://doi.org/10.1016/j.kint.2023.10.018

Khalid, F., Yang, G., & others. (2024). Predicting the progression of chronic kidney disease: A systematic review of artificial intelligence and machine learning approaches. Cureus, 16(5), e59402. https://doi.org/10.7759/cureus.59402

Krisanapan, P., Vongsanim, S., Pin-On, P., & Ruengorn, C. (2023). Revolutionizing chronic kidney disease management with machine learning and artificial intelligence. Journal of Personalized Medicine, 13(5), 802. https://doi.org/10.3390/jpm13050802

Mayo Clinic. (2023, October 24). Urinalysis. Mayo Foundation for Medical Education and Research. https://www.mayoclinic.org/tests-procedures/urinalysis/about/pac-20384907

MedlinePlus. (2024). Urinalysis. U.S. National Library of Medicine.

Pan, Q., Xie, Y., Zhang, H., & others. (2024). Artificial intelligence in predicting chronic kidney disease prognosis: A systematic review and meta-analysis. BMC Medical Informatics and Decision Making, 24, Article 362. https://doi.org/10.1186/s12911-024-02786-8

Pan American Health Organization. (2024). Digital transformation of the health sector in the Americas. PAHO.

Pardon, Sébastien et Damon Berry. 2010. «MirthConnect howto document». Reports.

Romero-Riaño, E., Claudia Galeano-Barrera, C. D. Guerrero, Mauricio Martínez-Toro y Dewar Rico-Bautista. (2022). «IoT applied to irrigation systems in agriculture: A usability analysis». Revista Colombiana de Computación 23(1):44–52. doi: 10.29375/25392115.4483.

Salcedo, D., Albeiro Cortes, Y. Ternera, Carlos Henriquez y Leidy Martes. (2022). «Diabetes tracking panel: an on-line information system to registration and management». Bulletin of Electrical Engineering and Informatics 11(3):1614–23. doi: 10.11591/EEI.V11I3.3477.

Tabari, P., Rahimi, S. A., Phelps, R., & others. (2024). State-of-the-art Fast Healthcare Interoperability Resources (FHIR)-based data models and applications: A review. JMIR Medical Informatics, 12, e58445. https://doi.org/10.2196/58445

World Health Organization. (2021). Global strategy on digital health 2020–2025. World Health Organization.

How to Cite
Salcedo, D., Cortes-Cabezas, A., Esmeral Romero, E. F., Avendaño Villa, I., Ramos Barrera, L. F., Cortés Cabezas, E., & Henríquez , C. (2026). UroSystemTests: An Information System to improve the Management of Urine Analysis Test. Revista Colombiana De Computación, 27(1). https://doi.org/10.29375/25392115.4501

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Published
2026-06-30