IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2022i1p499-d1017501.html
   My bibliography  Save this article

Healthcare Recommender System Based on Medical Specialties, Patient Profiles, and Geospatial Information

Author

Listed:
  • Miguel Torres-Ruiz

    (Centro de Investigación en Computación (CIC), Instituto Politécnico Nacional (IPN), Mexico City 07738, Mexico)

  • Rolando Quintero

    (Centro de Investigación en Computación (CIC), Instituto Politécnico Nacional (IPN), Mexico City 07738, Mexico)

  • Giovanni Guzman

    (Centro de Investigación en Computación (CIC), Instituto Politécnico Nacional (IPN), Mexico City 07738, Mexico)

  • Kwok Tai Chui

    (Department of Electronic Engineering and Computer Science, School of Science and Technology, Hong Kong Metropolitan University, Hong Kong, China)

Abstract

The global outburst of COVID-19 introduced severe issues concerning the capacity and adoption of healthcare systems and how vulnerable citizen classes might be affected. The pandemic generated the most remarkable transformation of health services, appropriating the increase in new information and communication technologies to bring sustainability to health services. This paper proposes a novel, methodological, and collaborative approach based on patient-centered technology, which consists of a recommender system architecture to assist the health service level according to medical specialties. The system provides recommendations according to the user profile of the citizens and a ranked list of medical facilities. Thus, we propose a health attention factor to semantically compute the similarity between medical specialties and offer medical centers with response capacity, health service type, and close user geographic location. Thus, considering the challenges described in the state-of-the-art, this approach tackles issues related to recommenders in mobile devices and the diversity of items in the healthcare domain, incorporating semantic and geospatial processing. The recommender system was tested in diverse districts of Mexico City, and the spatial visualization of the medical facilities filtering by the recommendations is displayed in a Web-GIS application.

Suggested Citation

  • Miguel Torres-Ruiz & Rolando Quintero & Giovanni Guzman & Kwok Tai Chui, 2022. "Healthcare Recommender System Based on Medical Specialties, Patient Profiles, and Geospatial Information," Sustainability, MDPI, vol. 15(1), pages 1-16, December.
    • Handle: RePEc:gam:jsusta:v:15:y:2022:i:1:p:499-:d:1017501
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/1/499/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/1/499/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Massaro, Maurizio, 2023. "Digital transformation in the healthcare sector through blockchain technology. Insights from academic research and business developments," Technovation, Elsevier, vol. 120(C).
    2. Kraus, Sascha & Schiavone, Francesco & Pluzhnikova, Anna & Invernizzi, Anna Chiara, 2021. "Digital transformation in healthcare: Analyzing the current state-of-research," Journal of Business Research, Elsevier, vol. 123(C), pages 557-567.
    3. Chakraborty, Imon & Ilavarasan, P. Vigneswara & Edirippulige, Sisira, 2021. "Health-tech startups in healthcare service delivery: A scoping review," Social Science & Medicine, Elsevier, vol. 278(C).
    4. Meleddu, Marta & Pulina, Manuela & Scuderi, Raffaele, 2020. "Public and private healthcare services: What drives the choice?," Socio-Economic Planning Sciences, Elsevier, vol. 70(C).
    5. Neutens, Tijs, 2015. "Accessibility, equity and health care: review and research directions for transport geographers," Journal of Transport Geography, Elsevier, vol. 43(C), pages 14-27.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Dal Mas, Francesca & Massaro, Maurizio & Rippa, Pierluigi & Secundo, Giustina, 2023. "The challenges of digital transformation in healthcare: An interdisciplinary literature review, framework, and future research agenda," Technovation, Elsevier, vol. 123(C).
    2. Zahoor, Nadia & Zopiatis, Anastasios & Adomako, Samuel & Lamprinakos, Grigorios, 2023. "The micro-foundations of digitally transforming SMEs: How digital literacy and technology interact with managerial attributes," Journal of Business Research, Elsevier, vol. 159(C).
    3. Kanuganti, Shalini & Sarkar, Ashoke Kumar & Singh, Ajit Pratap, 2016. "Evaluation of access to health care in rural areas using enhanced two-step floating catchment area (E2SFCA) method," Journal of Transport Geography, Elsevier, vol. 56(C), pages 45-52.
    4. Garcia-Perez, Alexeis & Cegarra-Navarro, Juan Gabriel & Sallos, Mark Paul & Martinez-Caro, Eva & Chinnaswamy, Anitha, 2023. "Resilience in healthcare systems: Cyber security and digital transformation," Technovation, Elsevier, vol. 121(C).
    5. Zihe Wang & Gege Yan & Siyuan Wang, 2022. "Fairness Evaluation of Landscape Justice in Urban Park Green Space: A Case Study of the Daxing Part of Yizhuang New Town, Beijing," Sustainability, MDPI, vol. 15(1), pages 1-18, December.
    6. Li, Chuanyao & Wang, Junren, 2022. "A hierarchical two-step floating catchment area analysis for high-tier hospital accessibility in an urban agglomeration region," Journal of Transport Geography, Elsevier, vol. 102(C).
    7. Cannavacciuolo, Lorella & Capaldo, Guido & Ponsiglione, Cristina, 2023. "Digital innovation and organizational changes in the healthcare sector: Multiple case studies of telemedicine project implementation," Technovation, Elsevier, vol. 120(C).
    8. Aurélie Mercier & Stéphanie Souche‐Le Corvec & Nicolas Ovtracht, 2021. "Measure of accessibility to postal services in France: A potential spatial accessibility approach applied in an urban region," Papers in Regional Science, Wiley Blackwell, vol. 100(1), pages 227-249, February.
    9. Virginia Milone & Antonio Fusco & Angelamaria De Feo & Marco Tatullo, 2024. "Clinical Impact of “Real World Data” and Blockchain on Public Health: A Scoping Review," IJERPH, MDPI, vol. 21(1), pages 1-14, January.
    10. Luz, Gregório & Barboza, Matheus H.C. & Portugal, Licinio & Giannotti, Mariana & van Wee, Bert, 2022. "Does better accessibility help to reduce social exclusion? Evidence from the city of São Paulo, Brazil," Transportation Research Part A: Policy and Practice, Elsevier, vol. 166(C), pages 186-217.
    11. Ruqin Yang & Yaolin Liu & Yanfang Liu & Hui Liu & Wenxia Gan, 2019. "Comprehensive Public Transport Service Accessibility Index—A New Approach Based on Degree Centrality and Gravity Model," Sustainability, MDPI, vol. 11(20), pages 1-20, October.
    12. Chen, Wendong & Cheng, Long & Chen, Xuewu & Chen, Jingxu & Cao, Mengqiu, 2021. "Measuring accessibility to health care services for older bus passengers: A finer spatial resolution," Journal of Transport Geography, Elsevier, vol. 93(C).
    13. Stefano Capolongo & Andrea Rebecchi & Marco Dettori & Letizia Appolloni & Antonio Azara & Maddalena Buffoli & Lorenzo Capasso & Alessandra Casuccio & Gea Oliveri Conti & Alessandro D’Amico & Margherit, 2018. "Healthy Design and Urban Planning Strategies, Actions, and Policy to Achieve Salutogenic Cities," IJERPH, MDPI, vol. 15(12), pages 1-15, November.
    14. Luz, Gregorio & Barboza, Matheus Henrique Cunha & da Silva Portugal, Licinio & Giannotti, Mariana & van Wee, Bert, 2022. "Does better accessibility help to reduce social exclusion? Evidence from the City of São Paulo, Brazil," SocArXiv 2p896, Center for Open Science.
    15. Yangjun Ren & Botang Li, 2022. "Digital Transformation, Green Technology Innovation and Enterprise Financial Performance: Empirical Evidence from the Textual Analysis of the Annual Reports of Listed Renewable Energy Enterprises in C," Sustainability, MDPI, vol. 15(1), pages 1-15, December.
    16. Meihan Jin & Lu Liu & De Tong & Yongxi Gong & Yu Liu, 2019. "Evaluating the Spatial Accessibility and Distribution Balance of Multi-Level Medical Service Facilities," IJERPH, MDPI, vol. 16(7), pages 1-19, March.
    17. Ahuja, Richa & Tiwari, Geetam, 2021. "Evolving term “accessibility” in spatial systems: Contextual evaluation of indicators," Transport Policy, Elsevier, vol. 113(C), pages 4-11.
    18. Azadi, Majid & Yousefi, Saeed & Farzipoor Saen, Reza & Shabanpour, Hadi & Jabeen, Fauzia, 2023. "Forecasting sustainability of healthcare supply chains using deep learning and network data envelopment analysis," Journal of Business Research, Elsevier, vol. 154(C).
    19. Carlos Fernandez-Llatas & Niels Martin & Owen Johnson & Marcos Sepulveda & Emmanuel Helm & Jorge Munoz-Gama, 2022. "Building Process-Oriented Data Science Solutions for Real-World Healthcare," IJERPH, MDPI, vol. 19(14), pages 1-5, July.
    20. Xueqian Song & Yongping Wei & Wei Deng & Shaoyao Zhang & Peng Zhou & Ying Liu & Jiangjun Wan, 2019. "Spatio-Temporal Distribution, Spillover Effects and Influences of China’s Two Levels of Public Healthcare Resources," IJERPH, MDPI, vol. 16(4), pages 1-18, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:15:y:2022:i:1:p:499-:d:1017501. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.