Risk-Based Care: Let's Think Outside the Box

Chase, J. Geoffrey; Preiser, Jean‐Charles; Knopp, Jennifer L.; Desaive, Thomas

doi:10.3389/fmed.2021.535244

Cited by 2 publications

(2 citation statements)

References 38 publications

(28 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Our (Rafferty et al, 2013;Trafimow & Sheeran, 1998), yet emotions can be more influential for decision-making at times of heightened stress and uncertainty by standing in as substitutes for information (Dimoff & Kelloway, 2019;Kozlowski et al, 2017;Loewenstein et al, 2001;Ness & Klass, 1994). This is evident in the context of healthcare (Kozlowski et al, 2017;LeBlanc et al, 2015;Marcum, 2013), where emotions can play a significant part in the assessment of risk (Chase et al, 2021). Therefore, understanding how attitudes, particularly emotions, about new technology are created and spread across individuals and groups can be valuable for medical decision-makers wanting to optimise technology uptake.…”

Section: Opportunity: Harnessing Collective Attitudes For Healthcare Technology Adoptionmentioning

confidence: 99%

Adoption of technological innovation in healthcare delivery: A social dynamic perspective

Wong¹,

Näswall²,

Pawsey³

et al. 2021

Preprint

View full text Add to dashboard Cite

Technological advancements are vital for improving the capacity of the health system to deliver health and wellbeing benefits to individuals. Despite significant financial investments in technological innovations in healthcare, patients are reported to benefit from only 30-50% of new healthcare technologies. We propose that some of the challenges of technology adoption are related to human factors, and specifically to social dynamics in healthcare workplaces, and that organisational psychology perspectives can facilitate our understanding of how to manage these dynamics. The aim of the present paper is to present a framework (TECH-ISM) to empower medical decision-makers to become innovation drivers by influencing the social dynamics are within medical workplaces. Our framework is based on an overview of research on technology adoption, where we highlight the impact of relational and social factors, and how adoption is affected by key relationships in healthcare delivery workplaces. We conclude our paper with a discussion of how medical decision-makers can socialise new technology into the workplace, and the importance of managing these social dynamics over time.

show abstract

Section: Opportunity: Harnessing Collective Attitudes For Healthcare Technology Adoptionmentioning

confidence: 99%

Adoption of technological innovation in healthcare delivery: A social dynamic perspective

Wong¹,

Näswall²,

Pawsey³

et al. 2021

Preprint

View full text Add to dashboard Cite

show abstract

“…Overall, 8 parameters are required to provide an SV output from an input fluid time-profile and an input heart rate time-profile, and the model fits experimental data well. This model-based approach of [10,11] can potentially allow prediction of fluid-responsiveness and closed-loop fluid control, a holy grail for critical-care [11][12][13]. However, the model from Ref.…”

Section: Introductionmentioning

confidence: 99%