Innovative Strategies for the Sustainable Management of Clinical Laboratories
Downloads
Abstract
This study investigates innovative strategies for the sustainable management of clinical laboratories, essential in medical diagnosis and treatment, and its relationship with Sustainable Development Goal (SDG) 3. Faced with the growing demand for diagnostic tests and the need for more sustainable practices , this work addresses how innovation can improve the efficiency, quality and environmental sustainability of clinical laboratories. Using the PRISMA 2020 Declaration as a methodological framework to ensure systematic and transparent research, a detailed protocol was designed that guided the search and analysis of relevant studies. This review considered both internal and external factors that affect the implementation of innovative strategies, including regulations, technological advances, and organizational culture. The importance of energy efficient equipment, advanced waste management and optimization of sample processing was highlighted. The results reveal that the adoption of emerging technologies, such as automation, digitalization, and the use of renewable energy, offers significant opportunities to improve sustainability in laboratories. These technologies can reduce energy and materials use, waste, and environmental impact. However, successful implementation depends on several factors, including financial support, staff training, and a cultural change within organizations. In conclusion, the research suggests that to achieve more sustainable clinical laboratories and meet SDG 3, it is essential to integrate innovative strategies and emerging technologies.
##plugins.themes.default.displayStats.downloads##
References
Al Agily, A., Homadi, A., Al Shehru, A., Al Harbi, A., Al Juma, M., & Al Shuwairekh, H. (2022). Strategies for Effective Medical Laboratory Management: A Comprehensive Guide. International Journal of Bio-Medical Informatics and e-Health, 10(6), 132–139. https://doi.org/10.30534/ijbmieh/2022/211062022
Alowais, S. A., Alghamdi, S. S., Alsuhebany, N., Alqahtani, T., Alshaya, A. I., Almohareb, S. N., Aldairem, A., Alrashed, M., Bin Saleh, K., Badreldin, H. A., Al Yami, M. S., Al Harbi, S., & Albekairy, A. M. (2023a). Revolutionizing healthcare: the role of artificial intelligence in clinical practice. BMC Medical Education, 23(1), 689. https://doi.org/10.1186/s12909-023-04698-z
Alowais, S. A., Alghamdi, S. S., Alsuhebany, N., Alqahtani, T., Alshaya, A. I., Almohareb, S. N., Aldairem, A., Alrashed, M., Bin Saleh, K., Badreldin, H. A., Al Yami, M. S., Al Harbi, S., & Albekairy, A. M. (2023b). Revolutionizing healthcare: the role of artificial intelligence in clinical practice. BMC Medical Education, 23(1), 689. https://doi.org/10.1186/s12909-023-04698-z
Arvidsson, S., & Dumay, J. (2022). Corporate ESG reporting quantity, quality and performance: Where to now for environmental policy and practice? Business Strategy and the Environment, 31(3), 1091–1110. https://doi.org/10.1002/bse.2937
Benti, N. E., Mekonnen, Y. S., & Asfaw, A. A. (2023). Combining green energy technologies to electrify rural community of Wollega, Western Ethiopia. Scientific African, 19, e01467. https://doi.org/10.1016/j.sciaf.2022.e01467
Chadaga, K., Chakraborty, C., Prabhu, S., Umakanth, S., Bhat, V., & Sampathila, N. (2022). Clinical and Laboratory Approach to Diagnose COVID-19 Using Machine Learning. Interdisciplinary Sciences: Computational Life Sciences, 14(2), 452–470. https://doi.org/10.1007/s12539-021-00499-4
Chaudhry, A., Inata, Y., & Nakagami, E. (2023). Quality analysis of the clinical laboratory literature and its effectiveness on clinical quality improvement: a systematic review. Journal of Clinical Biochemistry and Nutrition, 73(2), 23–22. https://doi.org/10.3164/jcbn.23-22
Ciapponi, A. (2021). La declaración PRISMA 2020: una guía actualizada para reportar revisiones sistemáticas. Evidencia, actualizacion en la práctica ambulatoria, 24(3), e002139–e002139.
Come Zebra, E. I., van der Windt, H. J., Nhumaio, G., & Faaij, A. P. C. (2021). A review of hybrid renewable energy systems in mini-grids for off-grid electrification in developing countries. Renewable and Sustainable Energy Reviews, 144, 111036. https://doi.org/10.1016/j.rser.2021.111036
Elgendi, M., AlMallahi, M., Abdelkhalig, A., & Selim, M. Y. E. (2023). A review of wind turbines in complex terrain. International Journal of Thermofluids, 17, 100289. https://doi.org/10.1016/j.ijft.2023.100289
Elia, S., Munjal, S., & Scalera, V. G. (2020). Sourcing Technological Knowledge Through Foreign Inward Licensing to Boost the Performance of Indian Firms: The Contingent Effects of Internal R&D and Business Group Affiliation. Management International Review, 60(5), 695–721. https://doi.org/10.1007/s11575-020-00419-6
Fu, Q., Lai, J., Zhong, T., & Ran, L. (2023). Design and Implementation of Clinical LIS360 Laboratory Management System Based on AI Technology. International Journal of Computational Intelligence Systems, 16(1), 33. https://doi.org/10.1007/s44196-023-00207-8
Gammie, A., Lopez, J., & Scott, S. (2023). Imperative: reducing the environmental impact of clinical laboratories. Clinical Chemistry and Laboratory Medicine (CCLM), 61(4), 634–637. https://doi.org/10.1515/cclm-2022-1052
Govindan, K., Shaw, M., & Majumdar, A. (2021). Social sustainability tensions in multi-tier supply chain: A systematic literature review towards conceptual framework development. Journal of Cleaner Production, 279, 123075. https://doi.org/10.1016/j.jclepro.2020.123075
Haleem, A., Javaid, M., Pratap Singh, R., & Suman, R. (2022). Medical 4.0 technologies for healthcare: Features, capabilities, and applications. Internet of Things and Cyber-Physical Systems, 2, 12–30. https://doi.org/10.1016/j.iotcps.2022.04.001
Han, J. E. D., Ibrahim, H., Aiyegbusi, O. L., Liu, X., Marston, E., Denniston, A. K., & Calvert, M. J. (2022). Opportunities and Risks of UK Medical Device Reform. Therapeutic Innovation & Regulatory Science, 56(4), 596–606. https://doi.org/10.1007/s43441-022-00394-0
Hsu, S., Banskota, S., McCormick, W., Capacci, J., Bustamante, C., Moretti, K., Wiegn, D., & Martin, K. D. (2021). Utilization of a waste audit at a community hospital emergency department to quantify waste production and estimate environmental impact. The Journal of Climate Change and Health, 4, 100041. https://doi.org/10.1016/j.joclim.2021.100041
Huang, W., Huang, D., Ding, Y., Yu, C., Wang, L., Lv, N., Qu, J., & Lu, H. (2023). Clinical application of intelligent technologies and integration in medical laboratories. iLABMED, 1(1), 82–91. https://doi.org/10.1002/ila2.9
Hutton, B., Catalá-López, F., & Moher, D. (2016). La extensión de la declaración PRISMA para revisiones sistemáticas que incorporan metaanálisis en red: PRISMA-NMA. Medicina clínica, 147(6), 262–266.
Jaiswal, K. K., Chowdhury, C. R., Yadav, D., Verma, R., Dutta, S., Jaiswal, K. S., SangmeshB, & Karuppasamy, K. S. K. (2022). Renewable and sustainable clean energy development and impact on social, economic, and environmental health. Energy Nexus, 7, 100118. https://doi.org/10.1016/j.nexus.2022.100118
Jun, J., Ojemeni, M. M., Kalamani, R., Tong, J., & Crecelius, M. L. (2021). Relationship between nurse burnout, patient and organizational outcomes: Systematic review. International Journal of Nursing Studies, 119, 103933. https://doi.org/10.1016/j.ijnurstu.2021.103933
Katipamula, S., Underhill, R. M., Fernandez, N., Kim, W., Lutes, R. G., & Taasevigen, D. (2021). Prevalence of typical operational problems and energy savings opportunities in U.S. commercial buildings. Energy and Buildings, 253, 111544. https://doi.org/10.1016/j.enbuild.2021.111544
Khando, K., Gao, S., Islam, S. M., & Salman, A. (2021). Enhancing employees information security awareness in private and public organisations: A systematic literature review. Computers & Security, 106, 102267. https://doi.org/10.1016/j.cose.2021.102267
Kiyokawa, T., Katayama, H., Tatsuta, Y., Takamatsu, J., & Ogasawara, T. (2021). Robotic Waste Sorter With Agile Manipulation and Quickly Trainable Detector. IEEE Access, 9, 124616–124631. https://doi.org/10.1109/ACCESS.2021.3110795
Kong, G., Lin, K., & Hu, Y. (2020). Using machine learning methods to predict in-hospital mortality of sepsis patients in the ICU. BMC Medical Informatics and Decision Making, 20(1), 251. https://doi.org/10.1186/s12911-020-01271-2
Linares-Espinós, E., Hernández, V., Domínguez-Escrig, J. L., Fernández-Pello, S., Hevia, V., Mayor, J., Padilla-Fernández, B., & Ribal, M. J. (2018). Metodología de una revisión sistemática. Actas Urológicas Españolas, 42(8), 499–506.
Liu, H., Yao, P., Latif, S., Aslam, S., & Iqbal, N. (2022). Impact of Green financing, FinTech, and financial inclusion on energy efficiency. Environmental Science and Pollution Research, 29(13), 18955–18966. https://doi.org/10.1007/s11356-021-16949-x
Mazumder, S., & Garg, S. (2021). Decoding digital transformational outsourcing: The role of service providers’ capabilities. International Journal of Information Management, 58, 102295. https://doi.org/10.1016/j.ijinfomgt.2020.102295
McClintock, A. H., & Fainstad, T. (2022). Growth, Engagement, and Belonging in the Clinical Learning Environment: the Role of Psychological Safety and the Work Ahead. Journal of General Internal Medicine, 37(9), 2291–2296. https://doi.org/10.1007/s11606-022-07493-6
McCrory, G., Schäpke, N., Holmén, J., & Holmberg, J. (2020). Sustainability-oriented labs in real-world contexts: An exploratory review. Journal of Cleaner Production, 277, 123202. https://doi.org/10.1016/j.jclepro.2020.123202
Mincu, M. (2022). Why is school leadership key to transforming education? Structural and cultural assumptions for quality education in diverse contexts. PROSPECTS, 52(3–4), 231–242. https://doi.org/10.1007/s11125-022-09625-6
Molero, A., Calabrò, M., Vignes, M., Gouget, B., & Gruson, D. (2021). Sustainability in Healthcare: Perspectives and Reflections Regarding Laboratory Medicine. Annals of Laboratory Medicine, 41(2), 139–144. https://doi.org/10.3343/alm.2021.41.2.139
Morales, W. G. B. (2022). Análisis de Prisma como Metodología para Revisión Sistemática: una Aproximación General. Saúde em Redes, 8(sup1), 339–360.
Munari, E., Scarpa, A., Cima, L., Pozzi, M., Pagni, F., Vasuri, F., Marletta, S., Dei Tos, A. P., & Eccher, A. (2023). Cutting-edge technology and automation in the pathology laboratory. Virchows Archiv. https://doi.org/10.1007/s00428-023-03637-z
Nti, I., Adekoya, A., Weyori, B., & Keyeremeh, F. (2023). A bibliometric analysis of technology in sustainable healthcare: Emerging trends and future directions. Decision Analytics Journal, 8, 100292. https://doi.org/10.1016/j.dajour.2023.100292
Oduro-Kwarteng, S., Addai, R., & Essandoh, H. M. K. (2021). Healthcare waste characteristics and management in Kumasi, Ghana. Scientific African, 12, e00784. https://doi.org/10.1016/j.sciaf.2021.e00784
Osorio, F., Dupont, L., Camargo, M., Palominos, P., Peña, J. I., & Alfaro, M. (2019). Design and management of innovation laboratories: Toward a performance assessment tool. Creativity and Innovation Management, 28(1), 82–100. https://doi.org/10.1111/caim.12301
Patel, K., El-Khoury, J. M., Simundic, A.-M., Farnsworth, C. W., Broell, F., Genzen, J. R., & Amukele, T. K. (2021). Evolution of Blood Sample Transportation and Monitoring Technologies. Clinical Chemistry, 67(6), 812–819. https://doi.org/10.1093/clinchem/hvab001
Peiffer-Smadja, N., Dellière, S., Rodriguez, C., Birgand, G., Lescure, F.-X., Fourati, S., & Ruppé, E. (2020). Machine learning in the clinical microbiology laboratory: has the time come for routine practice? Clinical Microbiology and Infection, 26(10), 1300–1309. https://doi.org/10.1016/j.cmi.2020.02.006
Poon, Y.-S. R., Lin, Y. P., Griffiths, P., Yong, K. K., Seah, B., & Liaw, S. Y. (2022b). A global overview of healthcare workers’ turnover intention amid COVID-19 pandemic: a systematic review with future directions. Human Resources for Health, 20(1), 70. https://doi.org/10.1186/s12960-022-00764-7
Prasad, P. A., Joshi, D., Lighter, J., Agins, J., Allen, R., Collins, M., Pena, F., Velletri, J., & Thiel, C. (2022). Environmental footprint of regular and intensive inpatient care in a large US hospital. The International Journal of Life Cycle Assessment, 27(1), 38–49. https://doi.org/10.1007/s11367-021-01998-8
Quesada, D., & Zeledón, R. (2022). (Ine)quality in Healthcare: a perspective from the accreditation of clinical laboratories in Costa Rica. Población y Salud en Mesoamérica, 19(2).
Rissman, J., Bataille, C., Masanet, E., Aden, N., Morrow, W. R., Zhou, N., Elliott, N., Dell, R., Heeren, N., Huckestein, B., Cresko, J., Miller, S. A., Roy, J., Fennell, P., Cremmins, B., Koch Blank, T., Hone, D., Williams, E. D., de la Rue du Can, S., … Helseth, J. (2020). Technologies and policies to decarbonize global industry: Review and assessment of mitigation drivers through 2070. Applied Energy, 266, 114848. https://doi.org/10.1016/j.apenergy.2020.114848
Rodrigo, C. P. (2012). Las revisiones sistemáticas: declaración PRISMA. Rev Esp Nutr Comunitaria, 18(1), 57–58.
Serrano, S. S., Navarro, I. P., & González, M. D. (2022). ¿ Cómo hacer una revisión sistemática siguiendo el protocolo PRISMA?: Usos y estrategias fundamentales para su aplicación en el ámbito educativo a través de un caso práctico. Bordón: Revista de pedagogía, 74(3), 51–66.
Spitzenberger, F., Patel, J., Gebuhr, I., Kruttwig, K., Safi, A., & Meisel, C. (2022). Laboratory-Developed Tests: Design of a Regulatory Strategy in Compliance with the International State-of-the-Art and the Regulation (EU) 2017/746 (EU IVDR [In Vitro Diagnostic Medical Device Regulation]). Therapeutic Innovation & Regulatory Science, 56(1), 47–64. https://doi.org/10.1007/s43441-021-00323-7
Wahlstedt, E. R., Wahlstedt, J. C., Rosenberg, J. S., & deVries, C. R. (2024). Lifecycle of surgical devices: Global, environmental, and regulatory considerations. World Journal of Surgery. https://doi.org/10.1002/wjs.12140
Yepes-Nuñez, J. J., Urrutia, G., Romero-Garcia, M., & Alonso-Fernandez, S. (2021). The PRISMA 2020 statement: an updated guideline for reporting systematic reviews Declaración PRISMA 2020: una guía actualizada para la publicación de revisiones sistemáticas. Revista espanola de cardiologia, 74(9), 790–799.
Zamboni, K., Baker, U., Tyagi, M., Schellenberg, J., Hill, Z., & Hanson, C. (2020a). How and under what circumstances do quality improvement collaboratives lead to better outcomes? A systematic review. Implementation Science, 15(1), 27. https://doi.org/10.1186/s13012-020-0978-z
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Journal of Science and Research: Revista Ciencia e Investigación
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Los autores mantienen los derechos sobre los artículos y por tanto son libres de compartir, copiar, distribuir, ejecutar y comunicar públicamente la obra bajo las condiciones siguientes:
Reconocer los créditos de la obra de la manera especificada por el autor o el licenciante (pero no de una manera que sugiera que tiene su apoyo o que apoyan el uso que hace de su obra).
No utilizar esta obra para fines comerciales.
Declaración de privacidad
Los nombres y direcciones de correo-e introducidos en esta revista se usarán exclusivamente para los fines declarados por esta revista y no estarán disponibles para ningún otro propósito u otra persona.
.JPG)
.png)
