Development of an app to monitor queues at an ophthalmological institute
DOI:
https://doi.org/10.33448/rsd-v11i16.37679Keywords:
Hospital management; Digital health; Innovation; Health; Software Engineering.Abstract
Applications in the health area, known as these m-health, are important accessories for the management of productive systems, especially with the increase in demand for health services. Therefore, this study aims to develop an application for monitoring queues in an ophthalmology institute located in the São Francisco Valley region. The work performed as prototyping steps with Figma, analysis of the application development with Flutter/Dart and Firebase and evaluation of the management of the alpha version. The evaluation was based on the MARS scale, which obtained the dimension “functionality” with the highest evaluation (3.75) and “aesthetics” as the lowest (3.0). The overall quality was indicated as (3.70), above recommended (3.70). It is concluded that it was possible to develop an application using knowledge and techniques of Software Engineering and Queue Management.
References
Aghazadeh, H., Crump, T., Tennant, M. & Weis, E. (2019). Use of mobile health (mHealth) technologies in ophthalmology patients in Alberta. Canadian Journal of Ophthalmology, 54(2), 164-170. http://dx.doi.org/10.1016/j.jcjo.2018.05.010.
Aizan, A. L., Mukhtar, A. Z., Bashah, K. A. A., Ahmad, N. L. & Mohd, M. K. A. (2019). ‘Walk-Away’ Queue Management System Using MySQL and Secure Mobile Application. Journal of Electrical Power and Electronic Systems. 1 (1), 12.
Alsaeed, W. & Alhazmi, K. (2019). An Intelligent Spatial-Based Queue Management System. IEEE Asia-Pacific Conference on Computer Science and Data Engineering (Csde), http://dx.doi.org/10.1109/csde48274.2019.9162412.
Anu, V., HU, W., Carver, J. C, Walia, G. S & Bradshaw, G. (2018). Development of a human error taxonomy for software requirements: a systematic literature review. Information and Software Technology. 103, 112-124, http://dx.doi.org/10.1016/j.infsof.2018.06.011.
Baldo, C., Zanchim, M. C., Kirsten, V. R. & Marchi, A. C. B. de. (2015) Diabetes Food Control – Um aplicativo móvel para avaliação do consumo alimentar de pacientes diabéticos. Revista Eletrônica de Comunicação, Informação e Inovação em Saúde, 9(3), 0-20. http://dx.doi.org/10.29397/reciis.v9i3.1000.
Briskman, J. (2020). Sensor Tower's Q2 2020 Data Digest: Global App Ecosystem Sets New Record with 37.8 Billion Downloads. https://sensortower.com/blog/q2-2020-data-digest.
Desmet, D., Maerkedahl, N. & Shi, P. (2017). Adopting an ecosystem view of business technology. McKinney, https://www.mckinsey.com/business-functions/mckinsey-digital/our-insights/adopting-an-ecosystem-view-of-business-technology.
Enthoven, C. A., Polling, J. R., Verzijden, T., Tideman, J. W. L., Al-jaffar, N., Jansen, P. W., Raat, H., Metz, L., Verhoeven, V. J.M. & Klaver, C. C.W. (2021). Smartphone Use Associated with Refractive Error in Teenagers. Ophthalmology, 128(12), 1681-1688. http://dx.doi.org/10.1016/j.ophtha.2021.06.016.
Figma. (2021). Creative Tools Meet the Internet. https://figma.com.
Fitzsimmons, J. A. & Fitzsimmons, M. J. (2014). Gerenciamento de Filas. Administração de Serviços. 7ª ed. Porto Alegre: Amgh Editora. 537.
Flutter. (2021). Flutter Documentation. https://flutter.dev/docs.
Ghozali, R. P., Saputra, H., Nuriawan, M. A., Suharjito, Utama, D. N. & Nugroho, A. (2019). Systematic Literature Review on Decision-Making of Requirement Engineering from Agile Software Development. Procedia Computer Science. 157, 274-281. http://dx.doi.org/10.1016/j.procs.2019.08.167.
Gil, A. C (2017). Como elaborar projetos de pesquisa. 6ª ed. São Paulo: Ed. Atlas.
Gomes, R. M. (2019). Aplicativo para gerenciamento dos leitos do Hospital Margarida. 42 f. Monografia (Graduação em Sistemas de Informação) - Instituto de Ciência Exatas e Aplicadas, Universidade Federal de Ouro Preto, João Monlevade.
Google. (2021). Beautiful native apps in record time. Flutter, https://flutter.dev
Hilty, D. M., Chan, S., Torous, J., Luo, J. & Boland, R. J. (2019). Mobile Health, Smartphone/Device, and Apps for Psychiatry and Medicine. Psychiatric Clinics of North America. 42(3), 513-534. http://dx.doi.org/10.1016/j.psc.2019.05.007.
Jabangwe, R., Edison, H. & Duc, A. N. (2018). Software engineering process models for mobile app development: a systematic literature review. Journal of Systems and Software. 145, 98-111. http://dx.doi.org/10.1016/j.jss.2018.08.028.
Kronbauer, J. S. & Pereira, R. R. (2021). O Uso das técnicas de elicitação de requisitos e processos de software na prototipação de aplicativos mobile. Trabalho de Conclusão de Curso (Bacharelado em Engenharia de Computação) – Faculdade de Ciências Exatas e Tecnologias, Universidade Federal da Grande Dourados, Dourados - MS.
Laudon, K. C & Laudon, J. P. (2014). Sistemas de Informação Gerenciais. (11a ed.), Pearson Education do Brasil. 508 p.
Li, J. O., Liu, H., Ting, D. S.J., Jeon, S., Chan, R.V. P., Kim, J. E., Sim, D. A., Thomas, P. B.M., Lin, H. & Chen, Y. (2021). Digital technology, tele-medicine and artificial intelligence in ophthalmology: a global perspective. Progress In Retinal and Eye Research. 82, 100900. http://dx.doi.org/10.1016/j.preteyeres.2020.100900.
Lim, M. K.,Tang, S. & Chan, C. S. (2014). iSurveillance: Intelligent framework for multiple events detection in surveillance videos. Expert Systems with Applications, 41(10), 4704–4715.
Mandracchia, F., Llauradó, E., Tarro, L., Valls, R. M. & Solà, R. (2020). Mobile Phone Apps for Food Allergies or Intolerances in App Stores: systematic search and quality assessment using the mobile app rating scale (mars). Jmir Mhealth and Uhealth, 8(9), 18339-18339. JMIR Publications Inc. http://dx.doi.org/10.2196/18339.
Martins, R. A., Mello, C. H. P. & Turrioni, J. B. (2014). Guia para Elaboração de Monografia e TCC em Engenharia de Produção. São Paulo: Atlas.
Mbuthia, F., Reid, M. & Fichardt, A. (2021). Development and validation of a mobile health communication framework for postnatal care in rural Kenya. International Journal of Africa Nursing Sciences. 14, 100304. http://dx.doi.org/10.1016/j.ijans.2021.100304.
Meridji, K., Al-sarayreh, K. T., Abran, A. & Trudel, S. (2019). System security requirements: a framework for early identification, specification and measurement of related software requirements. Computer Standards & Interfaces. 66. 103346. Elsevier BV. http://dx.doi.org/10.1016/j.csi.2019.04.005.
Messner, E. M., Terhorst, Y., Barke, A., Baumeister, H., Stoyanov, S., Hides, L., Kavanagh, D., Pryss, R., Sander, L. & Probst, T. (2020). The German Version of the Mobile App Rating Scale (MARS-G): development and validation study. Jmir Mhealth and Uhealth. 8(3), 14479-14479. JMIR Publications Inc. http://dx.doi.org/10.2196/14479.
Mesquita, M. J. T. A. M., Valente, T. L. A., Almeida, J. D. S. de, Teixeira, J. A. M., Medina, F. M.C. & Santos, A. M. A. (2021). mhealth application for automated detection and diagnosis of strabismus. International Journal of Medical Informatics. 153, 104527. Elsevier BV. http://dx.doi.org/10.1016/j.ijmedinf.2021.104527.
Nottingham, Q. J., Johnson, D. M. & Russell, R. S. (2018). The Effect of Waiting Time on Patient Perceptions of Care Quality. Quality Management Journal, 25(1), 32-45. Informa UK Limited. http://dx.doi.org/10.1080/10686967.2018.1404368.
Pressman, R. S. (2011). Engenharia de software: uma abordagem profissional. 7ª ed. Porto Alegre: AMGH.
Rono, H., Bastawrous, A., Macleod, D., Mamboleo, R., Bunywera, C., Wanjala, E., Gichuhi, S. & Burton, M. J. (2021). Effectiveness of an mHealth system on access to eye health services in Kenya: a cluster-randomised controlled trial. The Lancet Digital Health. 3(7), 414-424. http://dx.doi.org/10.1016/s2589-7500(21)00083-2.
Schmid, M. K., Thiel, M. A., Lienhard, K., Schlingemann, R. O., Faes, L. & Bachmann, L. M. (2019). Reliability and diagnostic performance of a novel mobile app for hyperacuity self-monitoring in patients with age-related macular degeneration. Eye. 33(10), 1584-1589, Springer Science and Business Media LLC. http://dx.doi.org/10.1038/s41433-019-0455-6.
Sommerville, I. (2011). Engenharia de Software. 9ª ed. São Paulo: Pearson Prentice Hall.
Soman, S., Rai, S., Ranjan, P., Cheema, A. S. & Srivastana, P. (2020). Mobile-Augmented Smart Queue Management System for Hospitals. IEEE 33Rd International Symposium on Computer-Based Medical Systems (Cbms). 0(0), 0-0, http://dx.doi.org/10.1109/cbms49503.2020.00086.
Souza, G. E. (2016). Sistema para gestão da fila de espera em pronto-atendimento pediátrico usando aplicativo móvel. Dissertação de Mestrado. Universidade Tecnológica Federal do Paraná.
Souza, S. C. de, Sunye, M. S. & Aléo, D. S. (2019). Uma solução para o controle do fluxo das filas de cirurgias eletivas do Sistema Único de Saúde (SUS): Sistema de Gerenciamento de Filas (SIGEFI). R. Saúd. Digi. Tec. Edu., Fortaleza, 4(2), 144-162.
Stoyanov, S. R, Hides, L., Kavanagh, D. J., Zelenko, O., Tjondronegoro, D. & Mani, M. (2015). Mobile App Rating Scale: a new tool for assessing the quality of health mobile apps. Jmir Mhealth And Uhealth, 3(1), 27-28. JMIR Publications Inc. http://dx.doi.org/10.2196/mhealth.3422.
Thirupathieswaran, R., Prakash, C.R.T S., Krishnan, R. S., Narayanan, K. L., Kumar, M. A. & Robinson, Y. H. (2021). Zero Queue Maintenance System using Smart Medi Care Application for Covid-19 Pandemic Situation. Third International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (Icicv), IEEE. http://dx.doi.org/10.1109/icicv50876.2021.9388454.
Uchino, M., Kawashima, M., Uchino, Y., Suzuki, N., Mitamura, H., Mizuno, M., Hori, Y., Yokoi, N. & Tsubota, K. (2018). The evaluation of dry eye mobile apps for screening of dry eye disease and educational tear event in Japan. The Ocular Surface, 16(4), 430-435. Elsevier BV. http://dx.doi.org/10.1016/j.jtos.2018.06.002.
Usman, S. O., Olowoyeye, E., Adegbamigbe, O. J., Olubayo, G. P., Ibijola, A. A., Tijani, A. B., Usman, I. N., Fatunmbi, O. J., Omisakin, T. C. & Ipinmoye, T. (2020). Patient Waiting Time: gaps and determinants of patients waiting time in hospitals in our communities to receive quality services. European Journal of Medical and Health Sciences. 2(1). http://dx.doi.org/10.24018/ejmed.2020.2.1.136.
Varsavsky, T., Graham, M. S, Canas, L. S., Ganesh, S., PujoL, J. C., Sudre, C. H, Murray, B., Modat, M., Cardoso, M J. & Astley, C. M. (2021). Detecting COVID-19 infection hotspots in England using large-scale self-reported data from a mobile application: a prospective, observational study. The Lancet Public Health, 6(1), 21-29. http://dx.doi.org/10.1016/s2468-2667(20)30269-3.
Zhou, S. L., Jia, X., Skinner, S.l P., Yang, W. & Claude, I. (2021). Lessons on mobile apps for COVID-19 from China. Journal of Safety Science and Resilience, 2(2), 40-49. http://dx.doi.org/10.1016/j.jnlssr.2021.04.002.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2022 Alysson dos Santos Bomfim; Thiago Magalhães Amaral; Ricardo Argenton Ramos
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
1) Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
2) Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
3) Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.
