[go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/a/eee/jomega/v115y2023ics0305048322001918.html
   My bibliography  Save this article

Physician selection based on user-generated content considering interactive criteria and risk preferences of patients

Author

Listed:
  • Liu, Fan
  • Liao, Huchang
  • Al-Barakati, Abdullah
Abstract
Online medical platform is a platform for patients to post their medical experience, collect medical information, and link doctors and patients for related medical activities. As the number of patients and doctors registered on the platform increases, there is an urgent need to consider how patients can identify useful information from the vast amount of information to help them make medical choices, and how the platform can provide distinctive medical choices based on the risk preferences of patients. In this paper, we propose a decision-making model that integrates a machine-learning method and a multi-criteria decision-making method to help patients to select physicians based on user-generated content considering interactive criteria and risk preferences of patients. Firstly, by data mining methods, various criteria included in user-generated content that influence patients' selection behavior are retrieved to construct a physician evaluation system. Secondly, a sentiment analysis method based on a medical review corpus is developed to mine satisfaction information from text reviews. Finally, a multi-criteria decision-making method is proposed considering patients' risk-averse preferences for medical services and the interactions among criteria. The validity of the proposed model is demonstrated by a case study of ranking psychologists from haodf.com. The comparisons with other methods and sensitivity analysis results provide suggestions to patients to choose psychologists and the website to rank psychologists.

Suggested Citation

  • Liu, Fan & Liao, Huchang & Al-Barakati, Abdullah, 2023. "Physician selection based on user-generated content considering interactive criteria and risk preferences of patients," Omega, Elsevier, vol. 115(C).
    • Handle: RePEc:eee:jomega:v:115:y:2023:i:c:s0305048322001918
    DOI: 10.1016/j.omega.2022.102784
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0305048322001918
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.omega.2022.102784?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Park, Jaehun & Lee, Byung Kwon, 2021. "An opinion-driven decision-support framework for benchmarking hotel service," Omega, Elsevier, vol. 103(C).
    2. Mayag, Brice & Bouyssou, Denis, 2020. "Necessary and possible interaction between criteria in a 2-additive Choquet integral model," European Journal of Operational Research, Elsevier, vol. 283(1), pages 308-320.
    3. Liao, Huchang & Wu, Xingli, 2020. "DNMA: A double normalization-based multiple aggregation method for multi-expert multi-criteria decision making," Omega, Elsevier, vol. 94(C).
    4. Michel Grabisch, 2022. "Dealing with redundancies among criteria in multicriteria decision making through independent component analysis," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-03882730, HAL.
    5. Guo, Mengzhuo & Liao, Xiuwu & Liu, Jiapeng & Zhang, Qingpeng, 2020. "Consumer preference analysis: A data-driven multiple criteria approach integrating online information," Omega, Elsevier, vol. 96(C).
    6. Susan F. Lu & Huaxia Rui, 2018. "Can We Trust Online Physician Ratings? Evidence from Cardiac Surgeons in Florida," Management Science, INFORMS, vol. 64(6), pages 2557-2573, June.
    7. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    8. Aishwarya Deep Shukla & Guodong (Gordon) Gao & Ritu Agarwal, 2021. "How Digital Word-of-Mouth Affects Consumer Decision Making: Evidence from Doctor Appointment Booking," Management Science, INFORMS, vol. 67(3), pages 1546-1568, March.
    9. Ye, Yan & Zhao, Yang & Shang, Jennifer & Zhang, Liyi, 2019. "A hybrid IT framework for identifying high-quality physicians using big data analytics," International Journal of Information Management, Elsevier, vol. 47(C), pages 65-75.
    10. Daria Dzyabura & John R. Hauser, 2019. "Recommending Products When Consumers Learn Their Preference Weights," Marketing Science, INFORMS, vol. 38(3), pages 417-441, May.
    11. Wu, Xingli & Liao, Huchang, 2019. "A consensus-based probabilistic linguistic gained and lost dominance score method," European Journal of Operational Research, Elsevier, vol. 272(3), pages 1017-1027.
    12. Sang-sang He & Yi-ting Wang & Juan-juan Peng & Jian-qiang Wang, 2022. "Risk ranking of wind turbine systems through an improved FMEA based on probabilistic linguistic information and the TODIM method," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 73(3), pages 467-480, March.
    13. Leoneti, Alexandre Bevilacqua & Gomes, Luiz Flavio Autran Monteiro, 2021. "A novel version of the TODIM method based on the exponential model of prospect theory: The ExpTODIM method," European Journal of Operational Research, Elsevier, vol. 295(3), pages 1042-1055.
    14. Zunqiang Zhang & Guoqing Chen & Jin Zhang & Xunhua Guo & Qiang Wei, 2016. "Providing Consistent Opinions from Online Reviews: A Heuristic Stepwise Optimization Approach," INFORMS Journal on Computing, INFORMS, vol. 28(2), pages 236-250, May.
    15. Rezaei, Jafar, 2015. "Best-worst multi-criteria decision-making method," Omega, Elsevier, vol. 53(C), pages 49-57.
    16. Xingli Wu & Huchang Liao, 2021. "Learning judgment benchmarks of customers from online reviews," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 43(4), pages 1125-1157, December.
    17. Heidary Dahooie, Jalil & Raafat, Romina & Qorbani, Ali Reza & Daim, Tugrul, 2021. "An intuitionistic fuzzy data-driven product ranking model using sentiment analysis and multi-criteria decision-making," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    18. Danish H. Saifee & Zhiqiang (Eric) Zheng & Indranil R. Bardhan & Atanu Lahiri, 2020. "Are Online Reviews of Physicians Reliable Indicators of Clinical Outcomes? A Focus on Chronic Disease Management," Information Systems Research, INFORMS, vol. 31(4), pages 1282-1300, December.
    19. Wu, Xingli & Liao, Huchang, 2021. "Modeling personalized cognition of customers in online shopping," Omega, Elsevier, vol. 104(C).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Wenfeng Zhu & Hengjie Zhang & Jing Xiao, 2023. "Coming to Consensus on Classification in Flexible Linguistic Preference Relations: The Role of Personalized Individual Semantics," Group Decision and Negotiation, Springer, vol. 32(5), pages 1237-1271, October.
    2. Wen, Tao & Chen, Yu-wang & Syed, Tahir abbas & Wu, Ting, 2024. "ERIUE: Evidential reasoning-based influential users evaluation in social networks," Omega, Elsevier, vol. 122(C).
    3. Wang, Mingwei & Zhang, Junping & Liang, Decui, 2024. "Multi-period share pledging with sequential three-way proportion decision," Omega, Elsevier, vol. 127(C).
    4. Dong‐Hui Yang & Ke‐Hui Zhu & Ruo‐Nan Wang, 2024. "Forecasting healthcare service volumes with machine learning algorithms," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(6), pages 2358-2377, September.

    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. Xiaohong Chen & Hui Wang & Xihua Li, 2024. "Doctor recommendation under probabilistic linguistic environment considering patient’s risk preference," Annals of Operations Research, Springer, vol. 341(1), pages 555-581, October.
    2. Yinfeng Du & Zhen-Song Chen & Jie Yang & Juan Antonio Morente-Molinera & Lu Zhang & Enrique Herrera-Viedma, 2023. "A Textual Data-Oriented Method for Doctor Selection in Online Health Communities," Sustainability, MDPI, vol. 15(2), pages 1-19, January.
    3. Wu, Xingli & Liao, Huchang, 2021. "Modeling personalized cognition of customers in online shopping," Omega, Elsevier, vol. 104(C).
    4. Zhao, Meng & Xu, Chang & Zhao, Wenxian & Lin, Mingwei, 2023. "New energy vehicle online selection method considering attribute compensation relationship and aspiration strength," Journal of Retailing and Consumer Services, Elsevier, vol. 75(C).
    5. Song, Yongming & Li, Yanhong & Zhu, Hongli & Li, Guangxu, 2023. "A decision support model for buying battery electric vehicles considering consumer learning and psychological behavior," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
    6. Chao Song & Jian-Qiang Wang & Jun-Bo Li, 2020. "New Framework for Quality Function Deployment Using Linguistic Z-Numbers," Mathematics, MDPI, vol. 8(2), pages 1-20, February.
    7. Gong, Zaiwu & Guo, Weiwei & Słowiński, Roman, 2021. "Transaction and interaction behavior-based consensus model and its application to optimal carbon emission reduction," Omega, Elsevier, vol. 104(C).
    8. Xitong Li & Jörn Grahl & Oliver Hinz, 2022. "How Do Recommender Systems Lead to Consumer Purchases? A Causal Mediation Analysis of a Field Experiment," Information Systems Research, INFORMS, vol. 33(2), pages 620-637, June.
    9. Hongfei Li & Jing Peng & Xinxin Li & Jan Stallaert, 2023. "When More Can Be Less: The Effect of Add-On Insurance on the Consumption of Professional Services," Information Systems Research, INFORMS, vol. 34(1), pages 363-382, March.
    10. Leoneti, Alexandre Bevilacqua & Gomes, Luiz Flavio Autran Monteiro, 2021. "Modeling multicriteria group decision making as games from enhanced pairwise comparisons," Operations Research Perspectives, Elsevier, vol. 8(C).
    11. Kummer, Michael E. & Laitenberger, Ulrich & Rich, Cyrus E. & Hughes, Danny R. & Ayer, Turgay, 2021. "Healthy reviews! Online physician ratings reduce healthcare interruptions," ZEW Discussion Papers 21-075, ZEW - Leibniz Centre for European Economic Research.
    12. Almorox, Eduardo Gonzalo & Stokes, Jonathan & Morciano, Marcello, 2022. "Has COVID-19 changed carer's views of health and care integration in care homes? A sentiment difference-in-difference analysis of on-line service reviews," Health Policy, Elsevier, vol. 126(11), pages 1117-1123.
    13. Kubińska, Elżbieta & Adamczyk-Kowalczuk, Magdalena & Andrzejewski, Mariusz & Rozakis, Stelios, 2022. "Incorporating the status quo effect into the decision making process: The case of municipal companies merger," Socio-Economic Planning Sciences, Elsevier, vol. 84(C).
    14. Xingli Wu & Huchang Liao, 2022. "A gained and lost dominance score method with conflict analysis for green economy development evaluation," Annals of Operations Research, Springer, vol. 316(1), pages 623-655, September.
    15. Yang, Binxin & Wu, Guangdong, 2023. "Multi-criteria analysis of cross-regional railways interconnection under the post COVID-19 pandemic crisis: A hybrid BWM-FAISM-DFS evaluation framework," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 179(C).
    16. Wu, Qun & Liu, Xinwang & Qin, Jindong & Zhou, Ligang & Mardani, Abbas & Deveci, Muhammet, 2022. "An integrated multi-criteria decision-making and multi-objective optimization model for socially responsible portfolio selection," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    17. Pushparenu Bhattacharjee & Syed Abou Iltaf Hussain & V. Dey & U. K. Mandal, 2023. "Failure mode and effects analysis for submersible pump component using proportionate risk assessment model: a case study in the power plant of Agartala," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 14(5), pages 1778-1798, October.
    18. Xiao-Kang Wang & Wen-Hui Hou & Chao Song & Min-Hui Deng & Yong-Yi Li & Jian-Qiang Wang, 2021. "BW-MaxEnt: A Novel MCDM Method for Limited Knowledge," Mathematics, MDPI, vol. 9(14), pages 1-17, July.
    19. Zhi Wen & Huchang Liao & Ruxue Ren & Chunguang Bai & Edmundas Kazimieras Zavadskas & Jurgita Antucheviciene & Abdullah Al-Barakati, 2019. "Cold Chain Logistics Management of Medicine with an Integrated Multi-Criteria Decision-Making Method," IJERPH, MDPI, vol. 16(23), pages 1-21, December.
    20. Ran Fang & Huchang Liao, 2021. "Emergency material reserve location selection by a time-series-based evidential reasoning approach under bounded rationality," Quality & Quantity: International Journal of Methodology, Springer, vol. 55(4), pages 1397-1417, August.

    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:eee:jomega:v:115:y:2023:i:c:s0305048322001918. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/375/description#description .

    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.