IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v10y2022i15p2784-d881493.html
   My bibliography  Save this article

A Review of Emergency and Disaster Management in the Process of Healthcare Operation Management for Improving Hospital Surgical Intake Capacity

Author

Listed:
  • Mohammad Heydari

    (Business College, Southwest University, Chongqing 400715, China)

  • Kin Keung Lai

    (International Business School, Shaanxi Normal University, Xi’an 710062, China
    Department of Industrial and Manufacturing Systems Engineering, Hong Kong University, Hong Kong)

  • Yanan Fan

    (Faculty of Earth Sciences and Environmental Management, University of Wrocław, 50-137 Wrocław, Poland)

  • Xiaoyang Li

    (Business College, Southwest University, Chongqing 400715, China)

Abstract

To perform diagnosis and treatment, health systems, hospitals, and other patient care facilities require a wide range of supplies, from masks and gloves to catheters and implants. The “ healthcare supply chain/healthcare operation management ” refers to the stakeholders, systems, and processes required to move products from the manufacturer to the patient’s bedside. The ultimate goal of the healthcare supply chain is to ensure that the right products, in the right quantities, are available in the right places at the right time to support patient care. Hospitals and the concept of a healthcare delivery system are practically synonymous. Surgical services, emergency and disaster services, and inpatient care are the three main types of services they offer. Outpatient clinics and facilities are also available at some hospitals, where patients can receive specialty consultations and surgical services. There will always be a need for inpatient care, regardless of how care models develop. The focus of this monograph was on recent OM work that models the dynamic, interrelated effects of demand-supply matching in the ED, OR, and inpatient units. Decisions about staffing and scheduling in these areas are frequently made independently by healthcare managers and clinicians. Then, as demand changes in real-time, clinicians and managers retaliate as best as they can to reallocate staffing to the areas that require it most at a particular moment in time in order to relieve patient flow bottlenecks. We, as OM researchers, must create models that help healthcare administrators enhance OR scheduling policies, ED demand forecasting, and medium- and short-term staffing plans that consider the interdependence of how demand develops.

Suggested Citation

  • Mohammad Heydari & Kin Keung Lai & Yanan Fan & Xiaoyang Li, 2022. "A Review of Emergency and Disaster Management in the Process of Healthcare Operation Management for Improving Hospital Surgical Intake Capacity," Mathematics, MDPI, vol. 10(15), pages 1-34, August.
  • Handle: RePEc:gam:jmathe:v:10:y:2022:i:15:p:2784-:d:881493
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/10/15/2784/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7390/10/15/2784/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Qingxia Kong & Chung-Yee Lee & Chung-Piaw Teo & Zhichao Zheng, 2013. "Scheduling Arrivals to a Stochastic Service Delivery System Using Copositive Cones," Operations Research, INFORMS, vol. 61(3), pages 711-726, June.
    2. Achal Bassamboo & Ramandeep S. Randhawa & Jan A. Van Mieghem, 2010. "Optimal Flexibility Configurations in Newsvendor Networks: Going Beyond Chaining and Pairing," Management Science, INFORMS, vol. 56(8), pages 1285-1303, August.
    3. Hans, Erwin & Wullink, Gerhard & van Houdenhoven, Mark & Kazemier, Geert, 2008. "Robust surgery loading," European Journal of Operational Research, Elsevier, vol. 185(3), pages 1038-1050, March.
    4. Marcelo Olivares & Christian Terwiesch & Lydia Cassorla, 2008. "Structural Estimation of the Newsvendor Model: An Application to Reserving Operating Room Time," Management Science, INFORMS, vol. 54(1), pages 41-55, January.
    5. David Morgan & Roberto Astolfi, 2013. "Health Spending Growth at Zero: Which Countries, Which Sectors Are Most Affected?," OECD Health Working Papers 60, OECD Publishing.
    6. Mehmet A. Begen & Retsef Levi & Maurice Queyranne, 2012. "Technical Note---A Sampling-Based Approach to Appointment Scheduling," Operations Research, INFORMS, vol. 60(3), pages 675-681, June.
    7. Gad Allon & Sarang Deo & Wuqin Lin, 2013. "The Impact of Size and Occupancy of Hospital on the Extent of Ambulance Diversion: Theory and Evidence," Operations Research, INFORMS, vol. 61(3), pages 544-562, June.
    8. Mohammad Heydari & Kin Keung Lai & Xiaohu Zhou, 2020. "Creating Sustainable Order Fulfillment Processes through Managing the Risk: Evidence from the Disposable Products Industry," Sustainability, MDPI, vol. 12(7), pages 1-32, April.
    9. Mohammad Heydari & Kin Keung Lai, 2020. "A Study on Risk and Expense Evaluation of Agility Supply Management of Machinery," Discrete Dynamics in Nature and Society, Hindawi, vol. 2020, pages 1-19, May.
    10. Seyed M. Iravani & Mark P. Van Oyen & Katharine T. Sims, 2005. "Structural Flexibility: A New Perspective on the Design of Manufacturing and Service Operations," Management Science, INFORMS, vol. 51(2), pages 151-166, February.
    11. Soroush Saghafian & Wallace J. Hopp & Mark P. Van Oyen & Jeffrey S. Desmond & Steven L. Kronick, 2014. "Complexity-Augmented Triage: A Tool for Improving Patient Safety and Operational Efficiency," Manufacturing & Service Operations Management, INFORMS, vol. 16(3), pages 329-345, July.
    12. Holmes E. Miller & William P. Pierskalla & Gustave J. Rath, 1976. "Nurse Scheduling Using Mathematical Programming," Operations Research, INFORMS, vol. 24(5), pages 857-870, October.
    13. Plambeck, Erica & Bayati, Mohsen & Ang, Erjie & Kwasnick, Sara & Aratow, Mike, 2014. "Forecasting Emergency Department Wait Times," Research Papers 3187, Stanford University, Graduate School of Business.
    14. Yigal Gerchak & Diwakar Gupta & Mordechai Henig, 1996. "Reservation Planning for Elective Surgery Under Uncertain Demand for Emergency Surgery," Management Science, INFORMS, vol. 42(3), pages 321-334, March.
    15. William S. Lovejoy & Ying Li, 2002. "Hospital Operating Room Capacity Expansion," Management Science, INFORMS, vol. 48(11), pages 1369-1387, November.
    16. Imran Ali & Devika Kannan, 2022. "Mapping research on healthcare operations and supply chain management: a topic modelling-based literature review," Annals of Operations Research, Springer, vol. 315(1), pages 29-55, August.
    17. Saravanan Kesavan & Bradley R. Staats & Wendell Gilland, 2014. "Volume Flexibility in Services: The Costs and Benefits of Flexible Labor Resources," Management Science, INFORMS, vol. 60(8), pages 1884-1906, August.
    18. Francis de Véricourt & Otis B. Jennings, 2011. "Nurse Staffing in Medical Units: A Queueing Perspective," Operations Research, INFORMS, vol. 59(6), pages 1320-1331, December.
    19. Natalia Yankovic & Linda V. Green, 2011. "Identifying Good Nursing Levels: A Queuing Approach," Operations Research, INFORMS, vol. 59(4), pages 942-955, August.
    20. Cardoen, Brecht & Demeulemeester, Erik & Beliën, Jeroen, 2010. "Operating room planning and scheduling: A literature review," European Journal of Operational Research, Elsevier, vol. 201(3), pages 921-932, March.
    21. Francesca Guerriero & Rosita Guido, 2011. "Operational research in the management of the operating theatre: a survey," Health Care Management Science, Springer, vol. 14(1), pages 89-114, March.
    22. Bard, Jonathan F. & Purnomo, Hadi W., 2005. "Preference scheduling for nurses using column generation," European Journal of Operational Research, Elsevier, vol. 164(2), pages 510-534, July.
    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. Ghafoor, Laiba, 2023. "A Review of Study on Quality Assurance Models," OSF Preprints eg7v2, Center for Open Science.
    2. Angeleo, Bostas, 2023. "A Novel Study on Quality Implementation Techniques and Plans," OSF Preprints 6h538, Center for Open Science.
    3. Aftab, Kanwal & Tahir, Fatima, 2023. "Quality Assurance Techniques for Improving Organization’s Performance," OSF Preprints 6gycq, Center for Open Science.
    4. Ghafoor, Laiba, 2023. "Techniques Methodology and Implementation of Supply Chain Risk-Management," OSF Preprints ejn9p, Center for Open Science.
    5. Ashraf, Imran, 2023. "A Narrative Study on Quality Assessment Processes and Techniques," OSF Preprints e9cq8, Center for Open Science.
    6. Abbas, Ali & Iftikhar, Younas, 2023. "A Narrative Study on Quality Assurance Models," OSF Preprints wp843, Center for Open Science.
    7. Ali, Hamna & Ashraf, Iqra, 2023. "Quality Assessment, a Process of Evaluating the Quality Product," OSF Preprints qknm5, Center for Open Science.
    8. Mohammad Heydari & Kin Keung Lai, 2023. "Post-COVID-19 Pandemic Era and Sustainable Healthcare: Organization and Delivery of Health Economics Research (Principles and Clinical Practice)," Mathematics, MDPI, vol. 11(16), pages 1-30, August.
    9. Ghafoor, Laiba, 2023. "Employee Indecisiveness of Negative Consequences in cooperation," OSF Preprints wn259, Center for Open Science.
    10. Ghafoor, Laiba, 2023. "Risk of Employee Indecisiveness of Applied Psychology," OSF Preprints k6zgr, Center for Open Science.
    11. Ghafoor, Laiba, 2023. "A Study on Quality Implementation Models: Action, Plans and Strategies," OSF Preprints 4szcj, Center for Open Science.
    12. Ghafoor, Laiba, 2023. "Risk Expensive Evolution in Aspects of Risk Management," OSF Preprints abjqv, Center for Open Science.
    13. Iftikhar, Younas & Abbas, Kashaf, 2023. "A Study on Emergency and Disaster Management," OSF Preprints wuknr, Center for Open Science.
    14. Abbas, Kashaf, 2023. "Implementation of Quality Management and Quality Implementation Techniques," OSF Preprints afqgy, Center for Open Science.

    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. Chaithanya Bandi & Diwakar Gupta, 2020. "Operating Room Staffing and Scheduling," Manufacturing & Service Operations Management, INFORMS, vol. 22(5), pages 958-974, September.
    2. Jingui Xie & Weifen Zhuang & Marcus Ang & Mabel C. Chou & Li Luo & David D. Yao, 2021. "Analytics for Hospital Resource Planning—Two Case Studies," Production and Operations Management, Production and Operations Management Society, vol. 30(6), pages 1863-1885, June.
    3. Range, Troels Martin & Kozlowski, Dawid & Petersen, Niels Chr., 2019. "Dynamic job assignment: A column generation approach with an application to surgery allocation," European Journal of Operational Research, Elsevier, vol. 272(1), pages 78-93.
    4. Michael Samudra & Carla Van Riet & Erik Demeulemeester & Brecht Cardoen & Nancy Vansteenkiste & Frank E. Rademakers, 2016. "Scheduling operating rooms: achievements, challenges and pitfalls," Journal of Scheduling, Springer, vol. 19(5), pages 493-525, October.
    5. Shuwan Zhu & Wenjuan Fan & Shanlin Yang & Jun Pei & Panos M. Pardalos, 2019. "Operating room planning and surgical case scheduling: a review of literature," Journal of Combinatorial Optimization, Springer, vol. 37(3), pages 757-805, April.
    6. Andreas Fügener & Sebastian Schiffels & Rainer Kolisch, 2017. "Overutilization and underutilization of operating rooms - insights from behavioral health care operations management," Health Care Management Science, Springer, vol. 20(1), pages 115-128, March.
    7. Ho-Yin Mak & Ying Rong & Jiawei Zhang, 2014. "Sequencing Appointments for Service Systems Using Inventory Approximations," Manufacturing & Service Operations Management, INFORMS, vol. 16(2), pages 251-262, May.
    8. McRae, Sebastian & Brunner, Jens O., 2020. "Assessing the impact of uncertainty and the level of aggregation in case mix planning," Omega, Elsevier, vol. 97(C).
    9. Range, Troels Martin & Kozlowski, Dawid & Petersen, Niels Chr., 2016. "Dynamic job assignment: A column generation approach with an application to surgery allocation," Discussion Papers on Economics 4/2016, University of Southern Denmark, Department of Economics.
    10. Ahmadi-Javid, Amir & Jalali, Zahra & Klassen, Kenneth J, 2017. "Outpatient appointment systems in healthcare: A review of optimization studies," European Journal of Operational Research, Elsevier, vol. 258(1), pages 3-34.
    11. Francesca Guerriero & Rosita Guido, 2011. "Operational research in the management of the operating theatre: a survey," Health Care Management Science, Springer, vol. 14(1), pages 89-114, March.
    12. Jose M. Molina-Pariente & Erwin W. Hans & Jose M. Framinan, 2018. "A stochastic approach for solving the operating room scheduling problem," Flexible Services and Manufacturing Journal, Springer, vol. 30(1), pages 224-251, June.
    13. Sandeep Rath & Kumar Rajaram, 2022. "Staff Planning for Hospitals with Implicit Cost Estimation and Stochastic Optimization," Production and Operations Management, Production and Operations Management Society, vol. 31(3), pages 1271-1289, March.
    14. Carri W. Chan & Vivek F. Farias & Gabriel J. Escobar, 2017. "The Impact of Delays on Service Times in the Intensive Care Unit," Management Science, INFORMS, vol. 63(7), pages 2049-2072, July.
    15. Zhang, Yu & Wang, Yu & Tang, Jiafu & Lim, Andrew, 2020. "Mitigating overtime risk in tactical surgical scheduling," Omega, Elsevier, vol. 93(C).
    16. Xuan Wang & Jiawei Zhang, 2015. "Process Flexibility: A Distribution-Free Bound on the Performance of k -Chain," Operations Research, INFORMS, vol. 63(3), pages 555-571, June.
    17. Carmen, Raïsa & Van Nieuwenhuyse, Inneke & Van Houdt, Benny, 2018. "Inpatient boarding in emergency departments: Impact on patient delays and system capacity," European Journal of Operational Research, Elsevier, vol. 271(3), pages 953-967.
    18. Silva, Thiago A.O. & de Souza, Mauricio C. & Saldanha, Rodney R. & Burke, Edmund K., 2015. "Surgical scheduling with simultaneous employment of specialised human resources," European Journal of Operational Research, Elsevier, vol. 245(3), pages 719-730.
    19. Aisha Tayyab & Saif Ullah & Mohammed Fazle Baki, 2023. "An Outer Approximation Method for Scheduling Elective Surgeries with Sequence Dependent Setup Times to Multiple Operating Rooms," Mathematics, MDPI, vol. 11(11), pages 1-15, May.
    20. Cappanera, Paola & Visintin, Filippo & Banditori, Carlo, 2014. "Comparing resource balancing criteria in master surgical scheduling: A combined optimisation-simulation approach," International Journal of Production Economics, Elsevier, vol. 158(C), pages 179-196.

    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:15:p:2784-:d:881493. 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.