Summary
Lisa Aufegger is a Postdoctoral Research Associate and Forum Fellow in the Patient Safety Group, Institute of Global Health Innovation at Imperial College London. She received her PhD in Performance Science and MSc in Applied and Cognitive Psychology from the Royal College of Music, London, and the University of Klagenfurt, Austria, in 2016 and 2011 respectively. She was also a Visiting Researcher and Research Assistant in the Signal Processing Group, Department of Electrical and Electronic Engineering at Imperial College London, in 2014-2016, and, since 2017, holds a Research Officer position at the London School of Economics and Political Science, UK.
Her research interests are in the areas of healthcare management, simulation training and user-experience research through the application of novel signal processing tools, and with the aim of improving patient safety across different healthcare settings.
Publications
Journals
Demblon M-C, Bicknell C, Aufegger L, 2023, Systematic review of the development and effectiveness of digital health information interventions, compared with usual care, in supporting patient preparation for paediatric hospital care, and the impact on their health outcomes, Frontiers in Health Services, Vol:3, ISSN:2813-0146, Pages:1-28
Aufegger L, Elliott-Deflo N, Nichols T, 2022, Workspace and productivity: guidelines for virtual reality workplace design and optimization, Applied Sciences, Vol:12, ISSN:2076-3417, Pages:1-21
Gordon B, Thomas MG, Darzi A, et al., 2022, Systems leadership: how chief executives manage tension between organisation and system pressures, Bmj Leader
Smalley K, Aufegger L, Flott K, et al., 2022, The Self-Management Abilities Test (SMAT): a tool to identify the self-management abilities of adults with bronchiectasis, Npj Primary Care Respiratory Medicine, Vol:32, ISSN:2055-1010, Pages:1-7
Aufegger L, Soane E, Darzi A, et al., 2021, Shared leadership in tertiary care: design of a simulation for patient safety decision-making in healthcare management teams, Bmj Simulation & Technology Enhanced Learning, Vol:7, ISSN:2056-6697, Pages:216-222