Abstract
Disasters like the recent COVID-19 pandemic can benefit from the use of digital tools and Knowledge Management Systems (KMSs) to manage the emergency and improve the resilience of the system. Such KMSs must prove the quality of the system, service, situation, and knowledge which is gathered, transferred, and shared. However, KMSs must cope with the presence of knowledge barriers, which limit to manage data and information successfully. Our chapter wants to deepen such a topic through the analysis of the case study of a web application developed by the IHU Strasbourg, one research and clinical centre, to collect and share knowledge between the end-users (citizens) and healthcare institutions, decision-makers, and public entities during the COVID-19 pandemic. Our findings highlight the need to ensure that not only the KMS possesses the recommended quality standards, but that specific features are put in place to cope with the presence of knowledge barriers, and the need for speed in the information flows to enhance resilience.
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- 1.
See https://www.openehr.org/, accessed May fifth, 2020.
References
Abouei, M., Dal Mas, F., Ghazvini, A., Attaran, M., Ansari, K., Nozari, K., Massaro, M., et al. (2019). Knowledge management in a public entity in the area of urban regeneration: The importance of stakeholder participation. In D. Remeniy (Ed.), 5th knowledge management and intellectual capital excellence awards (pp. 1–14). Academic Conferences and Publishing International Limited, Reading.
Adini, B., Cohen, O., Eide, A. W., Nilsson, S., Aharonson-Daniel, L., & Herrera, I. A. (2017). Striving to be resilient: What concepts, approaches and practices should be incorporated in resilience management guidelines? Technological Forecasting and Social Change, 121, 39–49.
AminShokravi, A., & Heravi, G. (2020). Developing the framework for evaluation of the inherent static resilience of the access to care network. Journal of Cleaner Production, 267, 122123.
Angelos, P. (2020). Surgeons, ethics, and COVID-19 : Early lessons learned. Journal of the American College of Surgeons, 230(6), 1119–1120.
Arora, H., Raghu, T. S., & Vinze, A. (2010). Resource allocation for demand surge mitigation during disaster response. Decision Support Systems, 50(1), 304–315.
Barbisch, D. F., & Koenig, K. L. (2006). Understanding surge capacity: Essential elements. Academic Emergency Medicine, 13(11), 98–1102.
Batalden, M., Batalden, P., Margolis, P., Seid, M., Armstrong, G., Opipari-arrigan, L., & Hartung, H. (2016). Coproduction of healthcare service. BMJ Quality & Safety, 25(7), 509–517.
Berawi, M. A. (2020). Empowering healthcare, economic, and social resilience during global pandemic Covid-19. International Journal of Technology, 11(3), 436–439.
Biancuzzi, H., Miceli, L., Bednarova, R., & Garlatti, A. (2019). Post-breast cancer coaching: The synergy between health and fitness through coproduction. Igiene e Sanità Pubblica, 75(3), 181–187.
Blackman, D., Nakanishi, H., & Benson, A. M. (2017). Disaster resilience as a complex problem: Why linearity is not applicable for long-term recovery. Technological Forecasting and Social Change, 121(March), 89–98.
Boin, A., Comfort, L. K., & Demchak, C. C. (2010). The rise of resilience. In L. K. Comfort, A. Boin, & C. C. Demchak (Eds.), Designing resilience: Preparing for extreme events (pp. 1–12). University of Pittsburgh Press.
Cobianchi, L., Dal Mas, F., Peloso, A., Pugliese, L., Massaro, M., Bagnoli, C., & Angelos, P. (2020a). Planning the full recovery phase: An Antifragile perspective on surgery after COVID-19. Annals of Surgery, 272(6), e296–e299.
Cobianchi, L., Dal Mas, F., Piccolo, D., Peloso, A., Secundo, G., Massaro, M., Takeda, A., et al. (2020b). Digital transformation in healthcare. The challenges of translating knowledge in a primary research, educational and clinical Centre. In K. S. Soliman (Ed.), International business information management conference (35th IBIMA) (pp. 6877–6888). IBIMA.
Cobianchi, L., Pugliese, L., Peloso, A., Dal Mas, F., & Angelos, P. (2020c). To a new normal: Surgery and COVID-19 during the transition phase. Annals of Surgery, 272(2), e49–e51.
Dal Mas, F., Massaro, M., Lombardi, R., & Garlatti, A. (2019). From output to outcome measures in the public sector. A structured literature review. International Journal of Organizational Analysis, 27(5), 1631–1656.
Dal Mas, F., Biancuzzi, H., Massaro, M., & Miceli, L. (2020a). Adopting a knowledge translation approach in healthcare coproduction. A case study. Management Decision, 58(9), 1841–1862.
Dal Mas, F., Piccolo, D., & Ruzza, D. (2020b). Overcoming cognitive bias through intellectual capital management. The case of pediatric medicine. In P. Ordonez de Pablos & L. Edvinsson (Eds.), Intellectual capital in the digital economy (pp. 123–133). Routledge.
Dorasamy, M., Raman, M., & Kaliannan, M. (2013). Knowledge management systems in support of disasters management: A two decade review. Technological Forecasting and Social Change, 80(9), 1834–1853.
Dorasamy, M., Raman, M., & Kaliannan, M. (2017). Integrated community emergency management and awareness system: A knowledge management system for disaster support. Technological Forecasting and Social Change, 121, 139–167.
Elwyn, G., Nelson, E., Hager, A., & Price, A. (2020). Coproduction: When users define quality. BMJ Quality and Safety, 29(9), 711–716.
Ferguson Bryan, A., Milner, R., Roggin, K. K., Angelos, P., & Matthews, J. B. (2020). Unknown unknowns: Surgical consent during the COVID-19 pandemic. Annals of Surgery, 272(2), e161–e162.
Garcia Vazquez, A., Verde, J. M., Dal Mas, F., Palermo, M., Cobianchi, L., Marescaux, J., Gallix, B., et al. (2020). Image-guided surgical e-learning in the post-COVID-19 pandemic era: What is next? Journal of Laparoendoscopic & Advanced Surgical Techniques, 30(9), 993–997.
Graham, I. D., Logan, J., Harrison, M. B., Straus, S. E., Tetroe, J., Caswell, W., & Robinson, N. (2006). Lost in knowledge translation: Time for a map? Journal of Continuing Education in the Health Professions, 26(1), 13–24.
He, Y., & Liu, N. (2015). Methodology of emergency medical logistics for public health emergencies. Transportation Research Part E: Logistics and Transportation Review, 79, 178–200.
Hernantes, J., Labaka, L., Turoff, M., Hiltz, S. R., & Bañuls, V. A. (2017). Moving forward to disaster resilience: Perspectives on increasing resilience for future disasters. Technological Forecasting and Social Change, 121(May), 1–6.
Hick, J. L., Koenig, K. L., Barbisch, D., & Bey, T. A. (2008). Surge capacity concepts for health care facilities: The CO-S-TR model for initial incident assessment. Disaster Medicine and Public Health Preparedness, 2(S1), S51–S57.
Howe, A. W., Jennex, M. E., Bressler, G. H., & Frost, E. G. (2011). Exercise 24: Using social media for crisis response. International Journal of Information Systems for Crisis Response and Management, 3(4), 36–54.
Huang, C. M., Chan, E., & Hyder, A. (2010). Web 2.0 and internet social networking: A new tool for disaster management? Lessons from Taiwan. BMC Medical Informatics and Decision Making, 10(57), 1–5.
Jennex, M. E., & Olfman, L. (2006). A model of knowledge management success. International Journal of Knowledge Management, 2(3), 51–68.
Ji, Y., Ma, Z., Peppelenbosch, M. P., & Pan, Q. (2020). Potential association between COVID-19 mortality and healthcare resource availability. The Lancet Global Health, 8(4), e480.
Lemire, N., Souffez, K., & Laurendeau, M. C. (2013). Facilitating a knowledge translation process. Knowledge review and facilitation tool. Institut Publique de Santé du Quebec.
Linstone, H. A., & Turoff, M. (2010). Delphi: A brief look backward and forward. Technological Forecasting and Social Change, 78(9), 1712–1719.
Massaro, M., Dal Mas, F., Bardy, R., & Mazzola, D. (2012). Knowledge management in alliances between mncs and smes: Evidence from the pharmaceutical field. In Proceedings of the European conference on knowledge management, ECKM, (708–716). Academic Conferences and Publishing International Limited, Reading.
Massaro, M., Dumay, J., & Bagnoli, C. (2019). Transparency and the rhetorical use of citations to Robert Yin in case study research. Meditari Accountancy Research, 27(1), 44–71.
Massaro, M., Dal Mas, F., Chiappetta Jabbour, C. J., & Bagnoli, C. (2020). Crypto-economy and new sustainable business models: Reflections and projections using a case study analysis. Corporate Social Responsibility and Environmental Management, 27(5), 2150–2160.
Massaro, M., Tamburro, P., La Torre, M., Dal Mas, F., Thomas, R., Cobianchi, L., & Barach, P. (2021). Non-pharmaceutical interventions and the Infodemic on twitter: Lessons learned from Italy during the Covid-19 pandemic. Journal of Medical Systems, 45(50), 1–12.
Pisano, G., Sadun, R. M., & Zanini, M. (2020). Lessons from Italy’s response to coronavirus. Harvard Business Review. Available at: https://hbr.org/2020/03/lessons-from-italys-response-to-coronavirus.
Presch, G., Dal Mas, F., Piccolo, D., Sinik, M., & Cobianchi, L. (2020). The World Health Innovation Summit (WHIS) platform for sustainable development. From the digital economy to knowledge in the healthcare sector. In P. Ordonez de Pablos & L. Edvinsson (Eds.), Intellectual capital in the digital economy (pp. 19–28). Routledge.
Reuter, C., & Spielhofer, T. (2017). Towards social resilience: A quantitative and qualitative survey on citizens’ perception of social media in emergencies in Europe. Technological Forecasting and Social Change, 121, 168–180.
Riege, A. (2005). Three-dozen knowledge-sharing barriers managers must consider. Journal of Knowledge Management, 9(3), 18–35.
Savory, C. (2006). Translating knowledge to build technological competence. Management Decision, 44(8), 1052–1075.
Shaw, D. R., Grainger, A., & Achuthan, K. (2017). Multi-level port resilience planning in the UK: How can information sharing be made easier? Technological Forecasting and Social Change, 121, 126–138.
Therrien, M. C., Normandin, J. M., & Denis, J. L. (2017). Bridging complexity theory and resilience to develop surge capacity in health systems. Journal of Health Organisation and Management, 31(1), 96–109.
Turoff, M., Chumer, M., Walle, B. V. D., & Yao, X. (2004). The design of a dynamic emergency response management information system (DERMIS). Journal of Information Technology Theory and Application, 5(4), 1–35.
Wang, C. J., Ng, C. Y., & Brook, R. H. (2020). Response to COVID-19 in Taiwan: Big data analytics, new technology, and proactive testing. JAMA, 323(14), 1341–1342.
Watson, S. K., Rudge, J. W., & Coker, R. (2013). Health systems’ ‘surge capacity’: State of the art and priorities for future research. Milbank Quarterly, 91(1), 78–122.
WHO. (2020a). Novel Coronavirus(2019-nCoV) Situation report – 13. Available at: https://www.who.int/docs/default-source/coronaviruse/situation-reports/20200202-sitrep-13-ncov-v3.pdf.
WHO. (2020b). WHO Director-General’s opening remarks at the media briefing on COVID-19 – 11 March 2020, WHO. Accessed April 1, 2020, from https://www.who.int/dg/speeches/detail/who-director-general-s-opening-remarks-at-the-media-briefing-on-covid-19%2D%2D-11-march-2020.
Xu, B., & Kraemer, M. U. G. (2020). “Open access epidemiological data from the COVID-19 outbreak ”, the lancet. Infectious Diseases, 20(5), p534.
Yin, R. K. (2014). Case study research: Design and methods. Sage Publications.
Zibulewsky, J. (2001). Defining disaster: The emergency department perspective. Baylor University Medical Center Proceedings, 14(2), 144–149.
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This research was partially support by Investissement d’avenir ANR-10-IAHU-02.
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Dal Mas, F. et al. (2022). Resilience, Digital Tools, and Knowledge Management Systems in the Pandemic Era: The IHU Strasbourg Experience. In: Matos, F., Selig, P.M., Henriqson, E. (eds) Resilience in a Digital Age. Contributions to Management Science. Springer, Cham. https://doi.org/10.1007/978-3-030-85954-1_14
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