IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i12p7044-d834412.html
   My bibliography  Save this article

Evaluation of Waste Related to the Admission Process of Low-Complexity Patients in Emergency Services, in Light of the Lean Healthcare Philosophy

Author

Listed:
  • Letícia Bianchini de Barros

    (School of Nursing, University of Campinas, Campinas 13083-887, Brazil)

  • Laura Passos Caldas

    (School of Nursing, Pontíficia Universidade Católica de Campinas, Campinas 13087-571, Brazil)

  • Elena Bohomol

    (School of Nursing, Federal University of São Paulo, São Paulo 04024-002, Brazil)

  • Alice Sarantopoulos

    (Atos Inova Saúde, Campinas 13085-055, Brazil)

  • Vinicius Minatogawa

    (Escuela de Ingeniería de Construcción y Transporte, Pontificia Universidad Católica de Valparaíso, Valparaíso 2340000, Chile)

  • Renata Cristina Gasparino

    (School of Nursing, University of Campinas, Campinas 13083-887, Brazil)

Abstract

The adequacy of work processes in healthcare services contributes to the quality of care provided to the patient. However, in emergency units, overcrowding is a constant reality, resulting in the lack of materials and long waiting lines. Taking this into consideration, this study aimed to map and analyze the value stream of patients classified as blue, green, or yellow in a Referral Emergency Unit. The evaluation research with analysis of processes was carried out in a teaching hospital on 30 patients seen at the emergency service. Value Stream Maps were drawn and the times involved in the process were calculated. Wastes and their possible causes were identified. A total of 13 maps were created and the mean process time between the activities involved in the process ranged between 7.3′ and 114.0′; the interruption time, between 0′ and 27.6′; the waiting time, between 43.2′ and 507.5′; and the lead time between 56.6′ and 638.0′ min. Some causes of waste were: high demand from patients; a shortage of personnel and offices. Following the Ishikawa Diagram, most of the waste is found regarding methods, human resources, and physical structure.

Suggested Citation

  • Letícia Bianchini de Barros & Laura Passos Caldas & Elena Bohomol & Alice Sarantopoulos & Vinicius Minatogawa & Renata Cristina Gasparino, 2022. "Evaluation of Waste Related to the Admission Process of Low-Complexity Patients in Emergency Services, in Light of the Lean Healthcare Philosophy," IJERPH, MDPI, vol. 19(12), pages 1-11, June.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:12:p:7044-:d:834412
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/12/7044/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/19/12/7044/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Schonberger, Richard J., 2018. "Reconstituting lean in healthcare: From waste elimination toward ‘queue-less’ patient-focused care," Business Horizons, Elsevier, vol. 61(1), pages 13-22.
    2. Agnetis, Alessandro & Bianciardi, Caterina & Iasparra, Nicola, 2019. "Integrating lean thinking and mathematical optimization: A case study in appointment scheduling of hematological treatments," Operations Research Perspectives, Elsevier, vol. 6(C).
    3. Abdulmalek, Fawaz A. & Rajgopal, Jayant, 2007. "Analyzing the benefits of lean manufacturing and value stream mapping via simulation: A process sector case study," International Journal of Production Economics, Elsevier, vol. 107(1), pages 223-236, May.
    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. repec:ers:journl:v:xxiv:y:2021:i:special4:p:601-620 is not listed on IDEAS
    2. Pâmella Rodrigues Silva Carrijo & Maria Luiza Bortolini Rader & Mário Otávio Batalha & Moacir Godinho Filho, 2024. "Lean manufacturing in agriculture: adapting the value stream mapping approach for farm management," Operations Management Research, Springer, vol. 17(4), pages 1444-1468, December.
    3. Das, Kanchan, 2018. "Integrating lean systems in the design of a sustainable supply chain model," International Journal of Production Economics, Elsevier, vol. 198(C), pages 177-190.
    4. Xue Xiao & Martin Skitmore & Heng Li & Bo Xia, 2019. "Mapping Knowledge in the Economic Areas of Green Building Using Scientometric Analysis," Energies, MDPI, vol. 12(15), pages 1-22, August.
    5. Rohit Kumar Singh & Sachin Modgil, 2023. "Assessment of Lean Supply Chain Practices in Indian Automotive Industry," Global Business Review, International Management Institute, vol. 24(1), pages 68-105, February.
    6. Diego Tlapa & Ignacio Franco-Alucano & Jorge Limon-Romero & Yolanda Baez-Lopez & Guilherme Tortorella, 2022. "Lean, Six Sigma, and Simulation: Evidence from Healthcare Interventions," Sustainability, MDPI, vol. 14(24), pages 1-25, December.
    7. Shuwei Jing & Kaixuan Hou & Junai Yan & Zih-Ping Ho & Lu Han, 2021. "Investigating the effect of value stream mapping on procurement effectiveness: a case study," Journal of Intelligent Manufacturing, Springer, vol. 32(4), pages 935-946, April.
    8. Maurizio Bevilacqua & Filippo Emanuele Ciarapica & Davide D'Ettorre & Giovanni Mazzuto & Claudia Paciarotti, 2014. "Total quality control through value stream mapping: a case study of small medium enterprises," International Journal of Integrated Supply Management, Inderscience Enterprises Ltd, vol. 9(1/2), pages 94-109.
    9. Majed Hadid & Adel Elomri & Regina Padmanabhan & Laoucine Kerbache & Oualid Jouini & Abdelfatteh El Omri & Amir Nounou & Anas Hamad, 2022. "Clustering and Stochastic Simulation Optimization for Outpatient Chemotherapy Appointment Planning and Scheduling," IJERPH, MDPI, vol. 19(23), pages 1-34, November.
    10. Pearce, Antony & Pons, Dirk, 2019. "Advancing lean management: The missing quantitative approach," Operations Research Perspectives, Elsevier, vol. 6(C).
    11. Markus Philipp Roessler & Joachim Metternich & Eberhard Abele, 2014. "Learning to See Clear: Quantification and Multidimensional Assessment of Value Stream Mapping Alternatives Considering Variability," Business and Management Research, Business and Management Research, Sciedu Press, vol. 3(2), pages 93-109, June.
    12. Stadnicka, Dorota & Litwin, Paweł, 2019. "Value stream mapping and system dynamics integration for manufacturing line modelling and analysis," International Journal of Production Economics, Elsevier, vol. 208(C), pages 400-411.
    13. Valentina De Simone & Valentina Di Pasquale & Maria Elena Nenni & Salvatore Miranda, 2023. "Sustainable Production Planning and Control in Manufacturing Contexts: A Bibliometric Review," Sustainability, MDPI, vol. 15(18), pages 1-23, September.
    14. Hadid, Majed & Elomri, Adel & Mekkawy, Tarek El & Jouini, Oualid & Kerbache, Laoucine & Hamad, Anas, 2022. "Operations management of outpatient chemotherapy process: An optimization-oriented comprehensive review," Operations Research Perspectives, Elsevier, vol. 9(C).
    15. Amandine Maus & Sylvie Sammut, 2016. "Le lean management, source d’accélération de l’accompagnement entrepreneurial ?," Post-Print hal-02130357, HAL.
    16. Emil Ratter & Stanislaw Nader, 2022. "The Use of Lean Management Tools in Production Companies with Implemented Total Quality Management (TQM)," European Research Studies Journal, European Research Studies Journal, vol. 0(3), pages 357-368.
    17. Vineet Jain & Puneeta Ajmera, 2019. "Modelling of the factors affecting lean implementation in healthcare using structural equation modelling," 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. 10(4), pages 563-575, August.
    18. Narayanamurthy, Gopalakrishnan & Gurumurthy, Anand & Subramanian, Nachiappan & Moser, Roger, 2018. "Assessing the readiness to implement lean in healthcare institutions – A case study," International Journal of Production Economics, Elsevier, vol. 197(C), pages 123-142.
    19. Armenia Androniceanu & Ioana-Catalina Enache & Elena-Narcisa Valter & Florin-Felix Raduica, 2023. "Increasing Energy Efficiency Based on the Kaizen Approach," Energies, MDPI, vol. 16(4), pages 1-24, February.
    20. Pool, Arnout & Wijngaard, Jacob & van der Zee, Durk-Jouke, 2011. "Lean planning in the semi-process industry, a case study," International Journal of Production Economics, Elsevier, vol. 131(1), pages 194-203, May.
    21. Kumar, Maneesh & Rodrigues, Vasco Sanchez, 2020. "Synergetic effect of lean and green on innovation: A resource-based perspective," International Journal of Production Economics, Elsevier, vol. 219(C), pages 469-479.

    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:jijerp:v:19:y:2022:i:12:p:7044-:d:834412. 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.