IDEAS home Printed from https://ideas.repec.org/a/spr/qualqt/v55y2021i1d10.1007_s11135-020-00999-3.html
   My bibliography  Save this article

Listening to the patient voice: using a sentic computing model to evaluate physicians’ healthcare service quality for strategic planning in hospitals

Author

Listed:
  • Adnan Muhammad Shah

    (Harbin Institute of Technology)

  • Xiangbin Yan

    (Harbin Institute of Technology)

  • Samia Tariq

    (London South Bank University)

  • Salim Khan

    (Harbin Institute of Technology)

Abstract

Online physician reviews (OPRs), also known as electronic word of mouth, have become the primary source of information for patients while making health consultation decisions. However, different techniques to analyze these reviews by machines have not been frequently applied yet in this domain. In this study, a novel method for opinion mining is being proposed to fill the existing research gap, that is, a hybrid approach to sentic computing. This approach integrates artificial intelligence and semantic web techniques to implicitly analyze OPRs in order to evaluate patient perceptions of healthcare service quality. We develop our methodology by using the following three main tasks: (1) sentence-level topic spotting (a topic-analysis procedure) to extract major topics, (2) a sentic computing framework to perform concept-level sentiment analysis (polarity detection on the categorized sentences), and (3) root cause and strengths, weaknesses, opportunities, and threats (SWOT) analyses to identify SWOT for healthcare organizations. Analyses results of 47,499 OPRs from the UK-based website (Iwantgreatcare.org) show that the proposed hybrid approach has accurately classified concept words to their corresponding topics, and it has also outperformed the similar other methods of topic extraction in the healthcare domain. The results also indicate that the proposed approach can better contribute to the overall performance analyses for healthcare organizations, which could help practitioners in improving service-quality measures based on the real voices of patients. The proposed model also provides a theoretical basis for formulating quality measures for the healthcare sector.

Suggested Citation

  • Adnan Muhammad Shah & Xiangbin Yan & Samia Tariq & Salim Khan, 2021. "Listening to the patient voice: using a sentic computing model to evaluate physicians’ healthcare service quality for strategic planning in hospitals," Quality & Quantity: International Journal of Methodology, Springer, vol. 55(1), pages 173-201, February.
    • Handle: RePEc:spr:qualqt:v:55:y:2021:i:1:d:10.1007_s11135-020-00999-3
    DOI: 10.1007/s11135-020-00999-3
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11135-020-00999-3
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11135-020-00999-3?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. Farooq, Muhammad Shoaib & Salam, Maimoona & Fayolle, Alain & Jaafar, Norizan & Ayupp, Kartinah, 2018. "Impact of service quality on customer satisfaction in Malaysia airlines: A PLS-SEM approach," Journal of Air Transport Management, Elsevier, vol. 67(C), pages 169-180.
    2. 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.
    3. Yang Liu & Juan Feng & Xiuwu Liao, 2017. "When Online Reviews Meet Sales Volume Information: Is More or Accurate Information Always Better?," Information Systems Research, INFORMS, vol. 28(4), pages 723-743, December.
    4. Xiang, Zheng & Du, Qianzhou & Ma, Yufeng & Fan, Weiguo, 2017. "A comparative analysis of major online review platforms: Implications for social media analytics in hospitality and tourism," Tourism Management, Elsevier, vol. 58(C), pages 51-65.
    5. Kasiri, Leila Agha & Guan Cheng, Kenny Teoh & Sambasivan, Murali & Sidin, Samsinar Md., 2017. "Integration of standardization and customization: Impact on service quality, customer satisfaction, and loyalty," Journal of Retailing and Consumer Services, Elsevier, vol. 35(C), pages 91-97.
    6. Duan, Wenjing & Gu, Bin & Whinston, Andrew B., 2008. "The dynamics of online word-of-mouth and product sales—An empirical investigation of the movie industry," Journal of Retailing, Elsevier, vol. 84(2), pages 233-242.
    7. Meesala, Appalayya & Paul, Justin, 2018. "Service quality, consumer satisfaction and loyalty in hospitals: Thinking for the future," Journal of Retailing and Consumer Services, Elsevier, vol. 40(C), pages 261-269.
    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. Pal, Shounak & Biswas, Baidyanath & Gupta, Rohit & Kumar, Ajay & Gupta, Shivam, 2023. "Exploring the factors that affect user experience in mobile-health applications: A text-mining and machine-learning approach," Journal of Business Research, Elsevier, vol. 156(C).

    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. Yucheng Zhang & Zhiling Wang & Lin Xiao & Lijun Wang & Pei Huang, 2023. "Discovering the evolution of online reviews: A bibliometric review," Electronic Markets, Springer;IIM University of St. Gallen, vol. 33(1), pages 1-22, December.
    2. Wenxin & W. & Bentum-Micah & G. & Zhiqiang & M. & Bing & L. & Asabea Addo & A. & Boadi & B.E. & Atuahene & A.S. & Bondzie-Micah & V., 2020. "The Influence of Encounter Service Quality on Patient Satisfaction: An Empirical Study in Chinese Public Hospitals," International Journal of Economics & Business Administration (IJEBA), International Journal of Economics & Business Administration (IJEBA), vol. 0(3), pages 461-477.
    3. Qihua Liu & Xiaoyu Zhang & Liyi Zhang & Yang Zhao, 2019. "The interaction effects of information cascades, word of mouth and recommendation systems on online reading behavior: an empirical investigation," Electronic Commerce Research, Springer, vol. 19(3), pages 521-547, September.
    4. Nguyen Huy Khanh & Hoang Thuy Dam Luong, 2022. "Customer behavioral intentions in accepting technology-based ride-hailing service: Empirical study from Vietnam," Management & Marketing, Sciendo, vol. 17(3), pages 272-291, September.
    5. Gang Ren & Taeho Hong, 2017. "Investigating Online Destination Images Using a Topic-Based Sentiment Analysis Approach," Sustainability, MDPI, vol. 9(10), pages 1-18, September.
    6. Young Kwark & Gene Moo Lee & Paul A. Pavlou & Liangfei Qiu, 2021. "On the Spillover Effects of Online Product Reviews on Purchases: Evidence from Clickstream Data," Information Systems Research, INFORMS, vol. 32(3), pages 895-913, September.
    7. Wu, Hung-Che & Ai, Chi-Han & Cheng, Ching-Chan, 2019. "Experiential quality, experiential psychological states and experiential outcomes in an unmanned convenience store," Journal of Retailing and Consumer Services, Elsevier, vol. 51(C), pages 409-420.
    8. Wenxin & W. & Bentum-Micah & G. & Zhiqiang & M. & Bing & L. & Asabea Addo & A. & Boadi & B.E. & Atuahene & A.S. & Bondzie-Micah & V., 2020. "The Influence of Encounter Service Quality on Patient Satisfaction: An Empirical Study in Chinese Public Hospitals," International Journal of Economics & Business Administration (IJEBA), International Journal of Economics & Business Administration (IJEBA), vol. 0(3), pages 466-482.
    9. Audrezet, Alice & Parguel, Béatrice, 2018. "Using the Evaluative Space Grid to better capture manifest ambivalence in customer satisfaction surveys," Journal of Retailing and Consumer Services, Elsevier, vol. 43(C), pages 285-295.
    10. Li, Yiming & Li, Gang & Tayi, Giri Kumar & Cheng, T.C.E., 2019. "Omni-channel retailing: Do offline retailers benefit from online reviews?," International Journal of Production Economics, Elsevier, vol. 218(C), pages 43-61.
    11. Kim, Yaeri & Seok, Junhee & Roh, Taewoo, 2023. "The linkage between quality of information systems and the impact of trust-based privacy on behavioral outcomes in unmanned convenience store: Moderating effect of gender and experience," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
    12. Pedro Cuesta-Valiño & Pablo Gutiérrez-Rodríguez & Cristina Loranca-Valle, 2021. "Sustainable Management of Sports Federations: The Indirect Effects of Perceived Service on Member’s Loyalty," Sustainability, MDPI, vol. 13(2), pages 1-24, January.
    13. Ayat Zaki Ahmed & Manuel Rodríguez-Díaz, 2020. "Significant Labels in Sentiment Analysis of Online Customer Reviews of Airlines," Sustainability, MDPI, vol. 12(20), pages 1-18, October.
    14. Shen, Chao & Yahya, Yazkhiruni, 2021. "The impact of service quality and price on passengers' loyalty towards low-cost airlines: The Southeast Asia perspective," Journal of Air Transport Management, Elsevier, vol. 91(C).
    15. Xu, Xun & Zeng, Shuo & He, Yuanjie, 2021. "The impact of information disclosure on consumer purchase behavior on sharing economy platform Airbnb," International Journal of Production Economics, Elsevier, vol. 231(C).
    16. Diwanji, Vaibhav S. & Cortese, Juliann, 2020. "Contrasting user generated videos versus brand generated videos in ecommerce," Journal of Retailing and Consumer Services, Elsevier, vol. 54(C).
    17. Yi Mei & Xiaoyan Xu & Xiaodong Li, 2020. "Encouraging Patient Engagement Behaviors from the Perspective of Functional Quality," IJERPH, MDPI, vol. 17(22), pages 1-15, November.
    18. Elizabeth J. Altman & Frank Nagle & Michael L. Tushman, 2013. "Innovating Without Information Constraints: Organizations, Communities, and Innovation When Information Costs Approach Zero," Harvard Business School Working Papers 14-043, Harvard Business School, revised Sep 2014.
    19. Paolo E. Giordani & Francesco Rullani, 2020. "The Digital Revolution and COVID-19," Working Papers 06, Department of Management, Università Ca' Foscari Venezia.
    20. G. Rejikumar & Aswathy Asokan-Ajitha & Sofi Dinesh & Ajay Jose, 2022. "The role of cognitive complexity and risk aversion in online herd behavior," Electronic Commerce Research, Springer, vol. 22(2), pages 585-621, June.

    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:spr:qualqt:v:55:y:2021:i:1:d:10.1007_s11135-020-00999-3. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.