Skip to main content

Research Repository

Advanced Search

All Outputs (33)

Target Product Profile for a Machine Learning–Automated Retinal Imaging Analysis Software for Use in English Diabetic Eye Screening: Protocol for a Mixed Methods Study (2024)
Journal Article

Background: Diabetic eye screening (DES) represents a significant opportunity for the application of machine learning (ML) technologies, which may improve clinical and service outcomes. However, successful integration of ML into DES requires careful... Read More about Target Product Profile for a Machine Learning–Automated Retinal Imaging Analysis Software for Use in English Diabetic Eye Screening: Protocol for a Mixed Methods Study.

Managing patient safety and staff safety in nursing homes: exploring how leaders of nursing homes negotiate their dual responsibilities—a case study (2024)
Journal Article

Objective: Within healthcare, the role of leader is becoming more complex, and healthcare leaders carry an increasing responsibility for the performance of employees, the experience and safety of patients and the quality of care provision. This study... Read More about Managing patient safety and staff safety in nursing homes: exploring how leaders of nursing homes negotiate their dual responsibilities—a case study.

Managing risk and resilience in autonomous and intelligent systems: Exploring safety in the development, deployment, and use of artificial intelligence in healthcare (2024)
Journal Article

Autonomous and intelligent systems (AIS) are being developed and deployed across a wide range of sectors and encompass a variety of technologies designed to engage in different forms of independent reasoning and self‐directed behavior. These technolo... Read More about Managing risk and resilience in autonomous and intelligent systems: Exploring safety in the development, deployment, and use of artificial intelligence in healthcare.

Naming the “baby” or the “beast”? The importance of concepts and labels in healthcare safety investigation (2023)
Journal Article

This paper focuses on concepts and labels used in investigation of adverse events in healthcare. The aim is to prompt critical reflection of how different stakeholders frame investigative activity in healthcare and to discuss the implications of the... Read More about Naming the “baby” or the “beast”? The importance of concepts and labels in healthcare safety investigation.

Exploring the nature of adaptive capacity for resilience in healthcare across different healthcare contexts; a metasynthesis of narratives (2022)
Journal Article

Adaptive capacity has been described as instrumental for the development of resilience in healthcare. Yet, our theoretical understanding of adaptive capacity remains relatively underdeveloped. This research therefore aims at developing a new understa... Read More about Exploring the nature of adaptive capacity for resilience in healthcare across different healthcare contexts; a metasynthesis of narratives.

Toward Successful Implementation of Artificial Intelligence in Health Care Practice: Protocol for a Research Program (2022)
Journal Article

Background: The uptake of artificial intelligence (AI) in health care is at an early stage. Recent studies have shown a lack of AI-specific implementation theories, models, or frameworks that could provide guidance for how to translate the potential... Read More about Toward Successful Implementation of Artificial Intelligence in Health Care Practice: Protocol for a Research Program.

Learning from the failure of autonomous and intelligent systems: accidents, safety and sociotechnical sources of risk (2021)
Journal Article

Efforts to develop autonomous and intelligent systems (AIS) have exploded across a range of settings in recent years, from self-driving cars to medical diagnostic chatbots. These have the potential to bring enormous benefits to society but also have... Read More about Learning from the failure of autonomous and intelligent systems: accidents, safety and sociotechnical sources of risk.

From Blade Runners to Tin Kickers: what the governance of artificial intelligence safety needs to learn from air crash investigators (2021)
Journal Article

What should we do when artificial intelligence (AI) goes wrong? AI has huge potential to improve the safety of societally critical systems, such as healthcare and transport, but it also has the potential to introduce new risks and amplify existing on... Read More about From Blade Runners to Tin Kickers: what the governance of artificial intelligence safety needs to learn from air crash investigators.

Investigating Hospital Supervision: A Case Study of Regulatory Inspectors’ Roles as Potential Co-creators of Resilience (2021)
Journal Article

Objectives: The aim of this study was to explore if, and in what ways, there has been changes in the supervisory approach towards Norwegian hospitals, due to implementation of a new management and quality improvement Regulation. Moreover, we aimed to... Read More about Investigating Hospital Supervision: A Case Study of Regulatory Inspectors’ Roles as Potential Co-creators of Resilience.

Hospital managers’ perspectives with implementing quality improvement measures and a new regulatory framework: a qualitative case study (2020)
Journal Article

© A new regulatory framework to support local quality and safety efforts in hospitals was introduced to the Norwegian healthcare system in 2017. This study aimed to investigate hospital managers' perspectives on implementation efforts and the result... Read More about Hospital managers’ perspectives with implementing quality improvement measures and a new regulatory framework: a qualitative case study.