Hospital learning from extreme weather events: Using causal loop diagrams

Chand, A M and Loosemore, M (2016) Hospital learning from extreme weather events: Using causal loop diagrams. Building Research & Information, 44(8), pp. 875-888. ISSN 0961-3218

Abstract

Extreme weather events (EWEs) represent an important opportunity for hospital facilities managers to learn lessons to improve future hospital resilience. However, little is known about the process by which this occurs and how effectively this happens. These questions are addressed by an exploration of how individual hospital stakeholders learn about the performance of their facilities and share these lessons in the adaptation of future hospital disaster management plans. More specifically, the evidence of behavioural and social/collective learning is investigated amongst hospital stakeholders during EWEs. The data gathered from a case study of a major hospital network of four hospitals were qualitatively analysed within a constructionist ontology and interpretivist epistemology using causal loop diagrams (CLDs). This revealed how lessons were learned in the hospital network from collective stakeholder EWEs' experiences. The findings highlight the need to develop appropriate processes and structures to capture, share and use facilities-related knowledge and embed new lessons learnt into future hospital disaster planning processes. Using Nonaka and Takeuchi's model of organizational knowledge creation, this paper presents new theoretical and practical insights for hospital facilities managers to build hospital resilience by better capturing the facilities-related lessons learnt in responding to an EWE.;  Extreme weather events (EWEs) represent an important opportunity for hospital facilities managers to learn lessons to improve future hospital resilience. However, little is known about the process by which this occurs and how effectively this happens. These questions are addressed by an exploration of how individual hospital stakeholders learn about the performance of their facilities and share these lessons in the adaptation of future hospital disaster management plans. More specifically, the evidence of behavioural and social/collective learning is investigated amongst hospital stakeholders during EWEs. The data gathered from a case study of a major hospital network of four hospitals were qualitatively analysed within a constructionist ontology and interpretivist epistemology using causal loop diagrams (CLDs). This revealed how lessons were learned in the hospital network from collective stakeholder EWEs' experiences. The findings highlight the need to develop appropriate processes and structures to capture, share and use facilities-related knowledge and embed new lessons learnt into future hospital disaster planning processes. Using Nonaka and Takeuchi's model of organizational knowledge creation, this paper presents new theoretical and practical insights for hospital facilities managers to build hospital resilience by better capturing the facilities-related lessons learnt in responding to an EWE.;Extreme weather events (EWEs) represent an important opportunity for hospital facilities managers to learn lessons to improve future hospital resilience. However, little is known about the process by which this occurs and how effectively this happens. These questions are addressed by an exploration of how individual hospital stakeholders learn about the performance of their facilities and share these lessons in the adaptation of future hospital disaster management plans. More specifically, the evidence of behavioural and social/collective learning is investigated amongst hospital stakeholders during EWEs. The data gathered from a case study of a major hospital network of four hospitals were qualitatively analysed within a constructionist ontology and interpretivist epistemology using causal loop diagrams (CLDs). This revealed how lessons were learned in the hospital network from collective stakeholder EWEs' experiences. The findings highlight the need to develop appropriate processes and structures to capture, share and use facilities-related knowledge and embed new lessons learnt into future hospital disaster planning processes. Using Nonaka and Takeuchi's model of organizational knowledge creation, this paper presents new theoretical and practical insights for hospital facilities managers to build hospital resilience by better capturing the facilities-related lessons learnt in responding to an EWE.;

Item Type: Article
Uncontrolled Keywords: extreme events; hospitals; learning; disaster management; built environment; resilience; management; construction & building technology; disaster; performance; systems; weather; structural engineering; meteorological satellites; disaster recovery
Index terms: built environment, extreme event, epistemology, meteorological satellites, disaster planning, adaptation, extreme weather event, exploration, hospital facility, weather, disaster management, knowledge creation, disaster recovery, ontology, case study, building technology, manager, evidence
Subjects: data collection methods, practitioner, knowledge management, engineering systems, construction type, infrastructure and transport systems, air quality, education and knowledge transfer, environmental resource management, knowledge theory, evaluation and assessment methods, user focus, environmental science, environmental hazards, climate science, financial risk, emergency and crisis management
Topics: Engineering Principles, Sustainability, Information Management, Roles and Professions, Research Practice, Design Practice, Cost Management, Urban Studies, Construction Technology
Descriptive scope: 5 PCTEA

N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here