IDEAS home Printed from https://ideas.repec.org/a/bla/srbeha/v39y2022i3p415-427.html
   My bibliography  Save this article

Managing outpatient flow via an artificial intelligence enabled solution

Author

Listed:
  • Ling Li
  • Fatou Diouf
  • Anjee Gorkhali

Abstract

An intelligent decision support information system is applied to develop an artificial intelligence (AI)‐driven solution to reduce patient waiting time in a hospital without an appointment system to improve healthcare service quality. The bottlenecks were identified, and then the healthcare service process was reengineered through the proposed shortest‐consultation time (SCT) model to increase the capacity for serving patients and the synchronization between capacity and patient arrival patterns. The study made several meaningful observations: (1) It is feasible to apply an AI‐driven solution to reduce patient waiting time in a hospital with no appointment system to improve healthcare service quality; (2) analytical models are helpful in identifying characteristics of patient flow problems; (3) the implementation of a few performance factors gives most of the improvements, and (4) theory of constraint (TOC) is a method that can be applied to improve patient service qualification.

Suggested Citation

  • Ling Li & Fatou Diouf & Anjee Gorkhali, 2022. "Managing outpatient flow via an artificial intelligence enabled solution," Systems Research and Behavioral Science, Wiley Blackwell, vol. 39(3), pages 415-427, May.
  • Handle: RePEc:bla:srbeha:v:39:y:2022:i:3:p:415-427
    DOI: 10.1002/sres.2870
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/sres.2870
    Download Restriction: no

    File URL: https://libkey.io/10.1002/sres.2870?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
    ---><---

    References listed on IDEAS

    as
    1. Li, L. X. & Benton, W. C., 1996. "Performance measurement criteria in health care organizations: Review and future research directions," European Journal of Operational Research, Elsevier, vol. 93(3), pages 449-468, September.
    2. Suresh Chand & Herbert Moskowitz & John Norris & Steve Shade & Deanna Willis, 2009. "Improving patient flow at an outpatient clinic: study of sources of variability and improvement factors," Health Care Management Science, Springer, vol. 12(3), pages 325-340, September.
    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. Roppelt, Julia Stefanie & Kanbach, Dominik K. & Kraus, Sascha, 2024. "Artificial intelligence in healthcare institutions: A systematic literature review on influencing factors," Technology in Society, Elsevier, vol. 76(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. Topuz, Kazim & Urban, Timothy L. & Yildirim, Mehmet B., 2024. "A Markovian score model for evaluating provider performance for continuity of care—An explainable analytics approach," European Journal of Operational Research, Elsevier, vol. 317(2), pages 341-351.
    2. Mielczarek, Bożena, 2014. "Simulation modelling for contracting hospital emergency services at the regional level," European Journal of Operational Research, Elsevier, vol. 235(1), pages 287-299.
    3. Brian Zoll & Pratik J. Parikh & Jennie Gallimore & Stephen Harrell & Brian Burke, 2015. "Impact of Diabetes E-Consults on Outpatient Clinic Workflow," Medical Decision Making, , vol. 35(6), pages 745-757, August.
    4. de Vries, Jan, 2011. "The shaping of inventory systems in health services: A stakeholder analysis," International Journal of Production Economics, Elsevier, vol. 133(1), pages 60-69, September.
    5. Li, L. X., 1997. "Relationships between determinants of hospital quality management and service quality performance--a path analytic model," Omega, Elsevier, vol. 25(5), pages 535-545, October.
    6. Guerrero, W.J. & Yeung, T.G. & Guéret, C., 2013. "Joint-optimization of inventory policies on a multi-product multi-echelon pharmaceutical system with batching and ordering constraints," European Journal of Operational Research, Elsevier, vol. 231(1), pages 98-108.
    7. Cote, Murray J., 1999. "Patient flow and resource utilization in an outpatient clinic," Socio-Economic Planning Sciences, Elsevier, vol. 33(3), pages 231-245, September.
    8. Joan Costa & Jaume Garcia, 2001. "Demand for private health insurance: Is there a quality gap?," Working Papers, Research Center on Health and Economics 531, Department of Economics and Business, Universitat Pompeu Fabra.
    9. Ward, Michael J. & Marsolo, Keith A. & Froehle, Craig M., 2014. "Applications of business analytics in healthcare," Business Horizons, Elsevier, vol. 57(5), pages 571-582.
    10. Antonio Vera & Pythagoras Petratos & Torsten Oliver Salge, 2018. "A widening gap? Static and dynamic performance differences between specialist and general hospitals," Health Care Management Science, Springer, vol. 21(1), pages 25-36, March.
    11. Pradeep Kumar & Sasadhar Bera & Tanusree Dutta & Shibashish Chakraborty, 2018. "Auxiliary Flexibility in Healthcare Delivery System: An Integrative Framework and Implications," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 19(2), pages 173-186, June.
    12. Tugba Cayirli & Kum Khiong Yang, 2019. "Altering the Environment to Improve Appointment System Performance," Service Science, INFORMS, vol. 11(2), pages 138-154, June.
    13. Aravind Chandrasekaran & Claire Senot & Kenneth K. Boyer, 2012. "Process Management Impact on Clinical and Experiential Quality: Managing Tensions Between Safe and Patient-Centered Healthcare," Manufacturing & Service Operations Management, INFORMS, vol. 14(4), pages 548-566, October.
    14. Song-Hee Kim & Ward Whitt & Won Chul Cha, 2018. "A Data-Driven Model of an Appointment-Generated Arrival Process at an Outpatient Clinic," INFORMS Journal on Computing, INFORMS, vol. 30(1), pages 181-199, February.
    15. Vernon Ning Hsu & Renato de Matta & Chung‐Yee Lee, 2003. "Scheduling patients in an ambulatory surgical center," Naval Research Logistics (NRL), John Wiley & Sons, vol. 50(3), pages 218-238, April.
    16. Seokjun Youn & Gregory R. Heim & Subodha Kumar & Chelliah Sriskandarajah, 2021. "Examining the Impacts of Clinical Practice Variation on Operational Performance," Production and Operations Management, Production and Operations Management Society, vol. 30(4), pages 839-863, April.
    17. Aktas, Emel & Ulengin, Fusun & Onsel Sahin, Sule, 2007. "A decision support system to improve the efficiency of resource allocation in healthcare management," Socio-Economic Planning Sciences, Elsevier, vol. 41(2), pages 130-146, June.
    18. Qu, Xiuli & Peng, Yidong & Shi, Jing & LaGanga, Linda, 2015. "An MDP model for walk-in patient admission management in primary care clinics," International Journal of Production Economics, Elsevier, vol. 168(C), pages 303-320.
    19. Mackelprang, Alan W. & Jayaram, Jayanth & Xu, Kefeng, 2012. "The influence of types of training on service system performance in mass service and service shop operations," International Journal of Production Economics, Elsevier, vol. 138(1), pages 183-194.
    20. Nicholson, Lawrence & Vakharia, Asoo J. & Selcuk Erenguc, S., 2004. "Outsourcing inventory management decisions in healthcare: Models and application," European Journal of Operational Research, Elsevier, vol. 154(1), pages 271-290, April.

    More about this item

    Statistics

    Access and download statistics

    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:bla:srbeha:v:39:y:2022:i:3:p:415-427. 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: Wiley Content Delivery (email available below). General contact details of provider: http://onlinelibrary.wiley.com/journal/10.1111/1092-7026 .

    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.