IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v10y2022i21p3956-d952144.html
   My bibliography  Save this article

An Intelligent System for Patients’ Well-Being: A Multi-Criteria Decision-Making Approach

Author

Listed:
  • Fabián Silva-Aravena

    (Facultad de Ciencias Sociales y Económicas, Universidad Católica del Maule, Avenida San Miguel 3605, Talca 3480094, Chile)

  • Jimmy H. Gutiérrez-Bahamondes

    (Doctorado en Sistemas de Ingeniería, Facultad de Ingeniería, Universidad de Talca, Camino Los Niches Km 1, Curico 3340000, Chile)

  • Hugo Núñez Delafuente

    (Doctorado en Sistemas de Ingeniería, Facultad de Ingeniería, Universidad de Talca, Camino Los Niches Km 1, Curico 3340000, Chile)

  • Roberto M. Toledo-Molina

    (Facultad de Ingeniería, Universidad de Talca, Camino Los Niches Km 1, Curico 3340000, Chile)

Abstract

The coronavirus pandemic has intensified the strain on medical care processes, especially waiting lists for patients under medical management. In Chile, the pandemic has caused an increase of 52,000 people waiting for care. For this reason, a high-complexity hospital (HCH) in Chile devised a decision support system (DSS) based on multi-criteria decision-making (MCDM), which combines management criteria, such as critical events, with clinical variables that allow prioritizing the population of chronic patients on the waiting list. The tool includes four methodological contributions: (1) pattern recognition through the analysis of anonymous patient data that allows critical patients to be characterized; (2) a score of the critical events suffered by the patients; (3) a score based on clinical criteria; and (4) a dynamic–hybrid methodology for patient selection that links critical events with clinical criteria and with the risk levels of patients on the waiting list. The methodology allowed to (1) characterize the most critical patients and triple the evaluation of medical records; (2) save medical hours during the prioritization process; (3) reduce the risk levels of patients on the waiting list; and (4) reduce the critical events in the first month of implementation, which could have been caused by the DSS and medical decision-making. This strategy was effective (even during a pandemic period).

Suggested Citation

  • Fabián Silva-Aravena & Jimmy H. Gutiérrez-Bahamondes & Hugo Núñez Delafuente & Roberto M. Toledo-Molina, 2022. "An Intelligent System for Patients’ Well-Being: A Multi-Criteria Decision-Making Approach," Mathematics, MDPI, vol. 10(21), pages 1-22, October.
    • Handle: RePEc:gam:jmathe:v:10:y:2022:i:21:p:3956-:d:952144
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/10/21/3956/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2227-7390/10/21/3956/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Siciliani, Luigi & Moran, Valerie & Borowitz, Michael, 2014. "Measuring and comparing health care waiting times in OECD countries," Health Policy, Elsevier, vol. 118(3), pages 292-303.
    2. Fabián Silva-Aravena & Eduardo Álvarez-Miranda & César A. Astudillo & Luis González-Martínez & José G. Ledezma, 2021. "Patients’ Prioritization on Surgical Waiting Lists: A Decision Support System," Mathematics, MDPI, vol. 9(10), pages 1-27, May.
    3. J Bowers, 2010. "Waiting list behaviour and the consequences for NHS targets," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(2), pages 246-254, February.
    4. Gutacker, Nils & Siciliani, Luigi & Cookson, Richard, 2016. "Waiting time prioritisation: Evidence from England," Social Science & Medicine, Elsevier, vol. 159(C), pages 140-151.
    5. Govindan, Kannan & Mina, Hassan & Alavi, Behrouz, 2020. "A decision support system for demand management in healthcare supply chains considering the epidemic outbreaks: A case study of coronavirus disease 2019 (COVID-19)," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 138(C).
    6. Harrison, Anthony J. & Appleby, John, 2010. "Optimising waiting: a view from the English National Health Service," Health Economics, Policy and Law, Cambridge University Press, vol. 5(4), pages 397-409, October.
    7. Sutherland, Jason Murray & Crump, R. Trafford & Chan, Angie & Liu, Guiping & Yue, Elizabeth & Bair, Matthew, 2016. "Health of patients on the waiting list: Opportunity to improve health in Canada?," Health Policy, Elsevier, vol. 120(7), pages 749-757.
    8. Fabián Silva-Aravena & Jenny Morales, 2022. "Dynamic Surgical Waiting List Methodology: A Networking Approach," Mathematics, MDPI, vol. 10(13), pages 1-23, July.
    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. Fabián Silva-Aravena & Hugo Núñez Delafuente & César A. Astudillo, 2022. "A Novel Strategy to Classify Chronic Patients at Risk: A Hybrid Machine Learning Approach," Mathematics, MDPI, vol. 10(17), pages 1-17, August.
    2. Fabián Silva-Aravena & Jenny Morales, 2022. "Dynamic Surgical Waiting List Methodology: A Networking Approach," Mathematics, MDPI, vol. 10(13), pages 1-23, July.
    3. Fabián Silva-Aravena & Eduardo Álvarez-Miranda & César A. Astudillo & Luis González-Martínez & José G. Ledezma, 2021. "Patients’ Prioritization on Surgical Waiting Lists: A Decision Support System," Mathematics, MDPI, vol. 9(10), pages 1-27, May.
    4. Siciliani, L., 2016. "Waiting Time Policies in the Health Sector," Seminar Briefing 001724, Office of Health Economics.
    5. Kelly, Mark & Kuhn, Michael, 2022. "Congestion in a public health service: A macro approach," Journal of Macroeconomics, Elsevier, vol. 74(C).
    6. Anika Reichert & Rowena Jacobs, 2018. "The impact of waiting time on patient outcomes: Evidence from early intervention in psychosis services in England," Health Economics, John Wiley & Sons, Ltd., vol. 27(11), pages 1772-1787, November.
    7. Connolly, Sheelah & Brick, Aoife & O'Neill, Ciarán & O'Callaghan, Michael, 2022. "An analysis of the primary care systems of Ireland and Northern Ireland," Research Series, Economic and Social Research Institute (ESRI), number RS137.
    8. Johansson, Kjell Arne & Nygaard, Elizabeth & Herlofsen, Berit & Lindemark, Frode, 2017. "Implementation of the 2013 amended Patients’ Rights Act in Norway: Clinical priority guidelines and access to specialised health care," Health Policy, Elsevier, vol. 121(4), pages 346-353.
    9. Dyrstad, Karin & Halvorsen, Thomas & Hem, Karl-Gerhard & Rohde, Tarald, 2016. "Sick of waiting: Does waiting for elective treatment cause sickness absence?," Health Policy, Elsevier, vol. 120(12), pages 1383-1388.
    10. Muhammad Rahies Khan & Amir Manzoor, 2021. "Application and Impact of New Technologies in the Supply Chain Management During COVID-19 Pandemic: A Systematic Literature Review," International Journal of Economics & Business Administration (IJEBA), International Journal of Economics & Business Administration (IJEBA), vol. 0(2), pages 277-292.
    11. Nicolai Fink Simonsen & Anne Sophie Oxholm & Søren Rud Kristensen & Luigi Siciliani, 2020. "What explains differences in waiting times for health care across socioeconomic status?," Health Economics, John Wiley & Sons, Ltd., vol. 29(12), pages 1764-1785, December.
    12. Fattahi, Mohammad & Keyvanshokooh, Esmaeil & Kannan, Devika & Govindan, Kannan, 2023. "Resource planning strategies for healthcare systems during a pandemic," European Journal of Operational Research, Elsevier, vol. 304(1), pages 192-206.
    13. Isabel Marques & Zélia Serrasqueiro & Fernanda Nogueira, 2021. "Managers’ Competences in Private Hospitals for Investment Decisions during the COVID-19 Pandemic," Sustainability, MDPI, vol. 13(4), pages 1-14, February.
    14. Guo, Michael Y. & Crump, R. Trafford & Karimuddin, Ahmer A & Liu, Guiping & Bair, Matthew J. & Sutherland, Jason M., 2022. "Prioritization and surgical wait lists: A cross-sectional survey of patient's health-related quality of life," Health Policy, Elsevier, vol. 126(2), pages 99-105.
    15. Paul, Ananna & Shukla, Nagesh & Trianni, Andrea, 2023. "Modelling supply chain sustainability challenges in the food processing sector amid the COVID-19 outbreak," Socio-Economic Planning Sciences, Elsevier, vol. 87(PA).
    16. Tang, Lianhua & Li, Yantong & Bai, Danyu & Liu, Tao & Coelho, Leandro C., 2022. "Bi-objective optimization for a multi-period COVID-19 vaccination planning problem," Omega, Elsevier, vol. 110(C).
    17. Ortiz-Barrios, Miguel & Arias-Fonseca, Sebastián & Ishizaka, Alessio & Barbati, Maria & Avendaño-Collante, Betty & Navarro-Jiménez, Eduardo, 2023. "Artificial intelligence and discrete-event simulation for capacity management of intensive care units during the Covid-19 pandemic: A case study," Journal of Business Research, Elsevier, vol. 160(C).
    18. Rozhkov, Maxim & Ivanov, Dmitry & Blackhurst, Jennifer & Nair, Anand, 2022. "Adapting supply chain operations in anticipation of and during the COVID-19 pandemic," Omega, Elsevier, vol. 110(C).
    19. Tomas Hellström & Merle Jacob & Karolin Sjöö, 2017. "From thematic to organizational prioritization: the challenges of implementing RDI priorities," Science and Public Policy, Oxford University Press, vol. 44(5), pages 599-608.
    20. Breton, Mylaine & Smithman, Mélanie Ann & Sasseville, Martin & Kreindler, Sara A. & Sutherland, Jason M. & Beauséjour, Marie & Green, Michael & Marshall, Emily Gard & Jbilou, Jalila & Shaw, Jay & Brou, 2020. "How the design and implementation of centralized waiting lists influence their use and effect on access to healthcare - A realist review," Health Policy, Elsevier, vol. 124(8), pages 787-795.

    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:jmathe:v:10:y:2022:i:21:p:3956-:d:952144. 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.