Open Access. Powered by Scholars. Published by Universities.®

Medicine and Health Sciences Commons

Open Access. Powered by Scholars. Published by Universities.®

Articles 1 - 2 of 2

Full-Text Articles in Medicine and Health Sciences

A Pilot Evaluation Of Simulation-Based Interprofessional Education For Occupational Therapy, Speech Pathology And Dietetic Students: Improvements In Attitudes And Confidence, Brennen Mills, Sara Hansen, Charn Nang, Helen Mcdonald, Philippa Lyons-Wall, Jacqui Hunt, Therese O’Sullivan Sep 2020

A Pilot Evaluation Of Simulation-Based Interprofessional Education For Occupational Therapy, Speech Pathology And Dietetic Students: Improvements In Attitudes And Confidence, Brennen Mills, Sara Hansen, Charn Nang, Helen Mcdonald, Philippa Lyons-Wall, Jacqui Hunt, Therese O’Sullivan

Research outputs 2014 to 2021

Many higher education institutions struggle to provide interprofessional practice opportunities for their pre-licensure students due to demanding workloads, difficulties with timetabling, and problems with sourcing suitable placements that provide appropriate practice opportunities. A series of complex unfolding video-based simulation scenarios involving a patient who had experienced a stroke was utilized as a case study for a three-hour interprofessional practice workshop. 69 occupational therapy (OT), speech pathology (SP) and dietetics (DT) students participated in a mixed-methods study comparing interprofessional attitudes before and after the workshop. Attitudes toward interprofessional practice improved pre- vs. post-workshop and overall. Students were highly satisfied with the …


Interpreting Health Events In Big Data Using Qualitative Traditions, Roschelle L. Fritz, Gordana Dermody Jan 2020

Interpreting Health Events In Big Data Using Qualitative Traditions, Roschelle L. Fritz, Gordana Dermody

Research outputs 2014 to 2021

© The Author(s) 2020. The training of artificial intelligence requires integrating real-world context and mathematical computations. To achieve efficacious smart health artificial intelligence, contextual clinical knowledge serving as ground truth is required. Qualitative methods are well-suited to lend consistent and valid ground truth. In this methods article, we illustrate the use of qualitative descriptive methods for providing ground truth when training an intelligent agent to detect Restless Leg Syndrome. We show how one interdisciplinary, inter-methodological research team used both sensor-based data and the participant’s description of their experience with an episode of Restless Leg Syndrome for training the intelligent agent. …