Design of a Monitoring System for Hospitalized Patients Based on Early Warning Score

Design of a Monitoring System for Hospitalized Patients Based on Early Warning Score
  IJETT-book-cover           
  
© 2023 by IJETT Journal
Volume-71 Issue-4
Year of Publication : 2023
Author : María Antonella Aguirre Méndez, Renzo Jesús Valdivia Gómez, Miguel Ángel Cano Lengua, Luis Carmelo Rada Mota
DOI : 10.14445/22315381/IJETT-V71I4P221

How to Cite?

María Antonella Aguirre Méndez, Renzo Jesús Valdivia Gómez, Miguel Ángel Cano Lengua, Luis Carmelo Rada Mota, "Design of a Monitoring System for Hospitalized Patients Based on Early Warning Score," International Journal of Engineering Trends and Technology, vol. 71, no. 4, pp. 238-255, 2023. Crossref, https://doi.org/10.14445/22315381/IJETT-V71I4P221

Abstract
The purpose of this research is to design a Hospitalized Patient Monitoring (MPH) system based on the Modified Early Warning Score (MEWS) system that improves the response time of medical personnel in patient care at a health center in Metropolitan Lima in the year 2022. It is supported by the importance of monitoring the patient's health and the detection of alterations in their vital signs. Therefore, in the development, the MEWS system is used since it allows timely alerting of the patient's worsening, based on the assessment of the measurements of the vital signs that are obtained in the monitoring. On the other hand, the development methodology is based on the Scrum methodological framework, through which a total of 4 Sprints have been carried out, in which the research deliverables are presented. The results indicate that the use case diagram, the entity relationship diagram, the system architecture and the total modeling of the interfaces planned for the investigation are delivered. Likewise, the result of the design validation survey is evaluated using Cronbach's alpha, which gives a reliability coefficient of 0.892, called "Good" within the assessment scale. Thus, it is concluded that the analysis of the system requirements were achieved, the identification of the values of the vital signs measured in the patients in the MEWS system, the establishment of the patient's clinical history, the transfer of information, the referral of the case to the appropriate medical personnel for patient care. In addition, based on the information obtained from a survey, it was possible to record the optimization of the response time of medical personnel in patient care based on the design.

Keywords
Vital signs monitoring, SCRUM, Early warning system, MEWS.

References
[1] Instituto De Estadística Nacional E Informática, “Atenciones En Salud,” 2018. [Online]. Available: https//www.inei.gob.pe/estadisticas/indice-tematico/health/
[2] Hospital De Emergencias José Casimiro Ulloa, “Mortalidad Hospitalaria (Anual),” 2018. Accessed: Dec. 15, 2022. [Online]. Available: https://www.hejcu.gob.pe/estadistica/informacion-registrada
[3] Belinda Munroe et al., “Translation of Evidence Into Policy to Improve Clinical Practice: the Development of An Emergency Department Rapid Response System,” Australas Emergency Care, vol. 24, no. 3, pp. 197–209, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[4] Louise S van Galen et al., “Delayed Recognition of Deterioration of Patients in General Wards Is Mostly Caused By Human Related Monitoring Failures: A Root Cause Analysis of Unplanned ICU Admissions,” Plos One, vol. 11, no. 8, 2016.
[CrossRef] [Google Scholar] [Publisher Link]
[5] Kate Morton et al., “Implementing A Digital Intervention for Managing Uncontrolled Hypertension in Primary Care: A Mixed Methods Process Evaluation,” Implementation Science, vol. 16, no. 1, p. 57, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[6] Mabel Berrueta et al., “Maternal and Neonatal Data Collection Systems in Low- and Middle-Income Countries for Maternal Vaccines Active Safety Surveillance Systems: A Scoping Review,” BMC Pregnancy Childbirth, vol. 21, no. 1, p. 217, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[7] Aimé Patrice Koumamba et al., “Health Information Systems in Developing Countries: Case of African Countries,” BMC Medical Informatics Decision Making, vol. 21, no. 1, p. 232, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[8] Frank Röhricht et al., “Simple Mobile Technology Health Management Tool for People with Severe Mental Illness: A Randomised Controlled Feasibility Trial,” BMC Psychiatry, vol. 21, no. 1, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[9] Parambir S Dulai et al., “Population Health Management for Inflammatory Bowel Disease,” Gastroenterology, vol. 154, no. 1, pp. 37–45, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[10] Youlu Zhao et al., “Effect of Clinical Decision Support Systems on Clinical Outcome for Acute Kidney Injury: A Systematic Review and Meta-Analysis,” BMC Nephrology, vol. 22, no. 1, p. 271, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[11] Antoinette Alas Bhattacharya et al., “Quality of Routine Facility Data for Monitoring Priority Maternal and Newborn Indicators in DHIS2: A Case Study From Gombe State, Nigeria,” Plos One, vol. 14, no. 1, p. 1-21, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[12] Xavier Bosch-Capblanch et al., “Researching, Co-Creating and Testing Innovations in Paper-Based Health Information Systems (PHISICC) to Support Health Workers’ Decision-Making: Protocol of A Multi-Country, Transdisciplinary, Mixed-Methods Research Programme in Three Sub-Saharan Countries,” Health Research Policy System, vol. 19, no. 1, p. 112, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[13] Jean Carlo Palomino Gonzales, Miguel Angel Cano Lengua, and Laberiano Andrade-Arenas, “Multiplatform Mobile: Post-COVID-19 Patient Management in Lima, Peru,” International Journal of Engineering Trends and Technology, vol. 70, no. 10, pp. 415–427, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[14] Alexis Stuard Barrionuevo Ramirez, Bryan Anthony Silva Diestra, and Miguel Angel Cano Lengua, “Implementation of a Virtual Store to Exponentiate the Flow of Product Sales in a Private Company in the City of Lima,” 2021 IEEE Engineering International Research Conference (EIRCON), pp. 1–4, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[15] Joel Ricardo Ligarda Motta et al., “Implementation of a Mobile Application: Sales Optimization in a Peruvian Company,” International Journal of Engineering Trends and Technology, vol. 70, no. 11, pp. 58–69, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[16] Rosa Perez-Siguas, Hernan Matta-Solis, and Eduardo Matta-Solis, "Mobile Application Design to Help People Suffering from Alzheimer’s," International Journal of Engineering Trends and Technology, vol. 70, no. 5, pp. 258-265, 2022.
[CrossRef] [Publisher Link]
[17] T. Satpathy, Una Guía Para El Cuerpo De Conocimiento De Scrum (Guía SBOKTM) – 3ra Edición. 2017.
[18] K. Schwaber and J. Sutherland, “The Scrum Guide: The Definitive the Rules of the Game,” Scrum.Org and Scruminc, 2017.
[19] Rosa Perez-Siguas, Hernan Matta-Solis, and Eduardo Matta-Solis, “Mobile Application Design to Help People Suffering From Alzheimer’s,” International Journal of Engineering Trends and Technology, vol. 70, no. 5, pp. 258–265, May 2022.
[CrossRef] [Publisher Link]
[20] Junfeng Wang et al., “A Comparative Research on Usability and User Experience of User Interface Design Software,” International Journal of Advanced Computer Science and Applications, vol. 13, no. 8, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[21] Joseph Ingeno, Software Architect’s Handbook : Become a Successful Software Architect by Implementing Effective Architecture Concepts, Packt Publishing Ltd, 2018.
[Google Scholar] [Publisher Link]
[22] Jean Bartra Lujan et al., "Telemedicine Prototype to Improve Medical Care and Patient and Physician Safety in Lima-Peru," International Journal of Engineering Trends and Technology, vol. 70, no. 8, pp. 83-96, 2022.
[CrossRef] [Publisher Link]
[23] R. C. Martin, Clean Architecture: A Craftsman’s Guide to Software Structure and Design, 2017.
[24] Zhejun Yu, Feng Xu, and Du Chen, “Predictive Value of Modified Early Warning Score (MEWS) and Revised Trauma Score (RTS) for the Short-Term Prognosis of Emergency Trauma Patients: A Retrospective Study,” BMJ Open, vol. 11, no. 3, pp. 1-7, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[25] Annette Burgess et al., “Teaching Clinical Handover with ISBAR,” BMC Med Education, vol. 20, no. S2, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[26] Mayorga Lira Sergio Dennis, Laberiano Andrade-Arenas, and Miguel Angel Cano Lengua, "Credit Risk Analysis: Using Artificial Intelligence in a Web Application," International Journal of Engineering Trends and Technology, vol. 71, no. 1, pp. 305-316, 2023.
[CrossRef] [Publisher Link]
[27] Angel David Yactayo Sanchez, Miguel Angel Cano Lengua, and Laberiano Andrade-Arenas, "Server Virtualization: Success Story in a Peruvian Company," International Journal of Engineering Trends and Technology, vol. 71, no. 1, pp. 293-304, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[28] Holiver Trujillo Moreno et al., "Model of Neural Networks: Probabilistic Prediction of Floods in Banana Agricultural Field," International Journal of Engineering Trends and Technology, vol. 71, no. 1, pp. 124-133, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[29] Alejandro Boza-Chua, Laberiano Andrade-Arenas, and Avid Roman-Gonzalez, “Mobile Application for Control and Management of Citizen Security,” Indonesian Journal of Electrical Engineering and Computer Science, vol. 29, no. 2, p. 1063, 2023.
[CrossRef] [Publisher Link]
[30] Sanghamitra Mukhopadhyay et al., “A Modern Approach to QENS Data Analysis in Mantid,” Physica B Condens Matter, vol. 563, pp. 41–49, 2019.
[CrossRef] [Google Scholar] [Publisher Link]