Resilience in Healthcare

The primary goal of the Resilience in Healthcare (RiH) project is to reform the quality of current healthcare systems by establishing a new and comprehensive Resilience in Healthcare framework.

Published Updated on
Facts
Project manager

Professor Siri Wiig

Project period

2018 - 2024

Funding

The Research Council of Norway – FRIPRO TOPPFORSK, UiS, NTNU Gjøvik, Norwegian Air Ambulance Foundation

Budget

66 millions

We need a new approach to ensure quality and safety in health care.

Siri Wiig
Collaborative learning
Photo: Steinar Figved

Research efforts to understand and reduce healthcare induced adverse events has traditionally focused on healthcare failures. Significant advancements have yet to be made, however, as internationally the rate of harm has remained steady at about 10% for hospitalised patients. The relative consistency of these findings has gradually led to the conclusion that traditional research that relies on a range of standardised ‘find and fix’ methods is inadequate for understanding healthcare quality. Rather, such research must focus on the inherent complexity of healthcare systems, which are characterized by multiple stakeholder interactions and a significant degree of performance variability within and across system levels.

Resilience is a systems approach concerned with the proactive ability of organisations and individuals to anticipate, monitor, respond to and learn from variability and disruptions. Resilience is about adapting everyday functioning to successfully resolve challenging organisational conditions, allowing for operations to continue with a sound level of quality. Resilient characteristics have been largely unexplored in the healthcare sector, with the exception of small-scale case studies within certain clinical areas. In-depth empirical research from multiple large-scale clinical practice settings is of crucial importance to systematically map, test and evaluate concepts and interventions related to resilience in a variety of clinical settings and empirical contexts.

The RiH project will shift the research focus from healthcare failures to the overwhelming majority of healthcare processes with successful outcomes, to determine how high quality is generated in everyday clinical work across different healthcare systems. It will apply a longitudinal collaborative research design within (a) the emergency chain and (b) the continuity chain. Empirical data on the healthcare processes involved when patients move along these two chains will be of major analytical interest. The project will feature long-term multidisciplinary collaboration between national and international researchers interacting with a wide variety of healthcare stakeholders. The empirical research will result in an evidence-based RiH framework that will model the ability of healthcare providers to anticipate, monitor, respond to and learn from variability and disruptions. Through the development and implementation of such a framework, the RiH project will seek to build and support resilient systems and processes across the entire healthcare services.

Find more information and recent publications in the Research Council's project bank.

Researchers

Professor
51834288
Faculty of Health Sciences
Department of Quality and Health Technology
Professor
51832268
Faculty of Science and Technology
Department of Safety, Economics and Planning
Associate Professor
51834291
Faculty of Health Sciences
Department of Quality and Health Technology
Associate Professor
51834254
Faculty of Health Sciences
Department of Quality and Health Technology
Senterkoordinator
51834204
Faculty of Health Sciences
Department of Quality and Health Technology
Postdoctoral Fellow
51831298
Faculty of Health Sciences
Department of Quality and Health Technology
Associate Professor
51832988
Faculty of Health Sciences
Department of Public Health
PhD Candidate
51833148
Faculty of Health Sciences
Department of Quality and Health Technology
Vitenskapelig assistent
Faculty of Health Sciences
Department of Quality and Health Technology
Ekstern tilknyttet UiS
51832881
Faculty of Health Sciences
Department of Quality and Health Technology
Associate Professor
Faculty of Health Sciences
Department of Quality and Health Technology
Associate Professor
Faculty of Health Sciences
Department of Quality and Health Technology
PhD Candidate
Faculty of Health Sciences
Department of Quality and Health Technology
Postdoctoral Fellow
51834289
Faculty of Health Sciences
Department of Quality and Health Technology

Partners

Expert Advisory Board