Related Experiment Video
Updated: Feb 3, 2026
A Virtual Machine Platform for Non-Computer Professionals for Using Deep Learning to Classify Biological Sequences of Metagenomic Data
Published on: September 25, 2021
Data and Lifelong Learning Protocol: Understanding Cultural Barriers and Facilitators to Using Clinical Performance
David Wiljer1, Walter Tavares, Maria Mylopoulos
1Dr. Wiljer: Executive Director, Education Technology and Innovation, UHN Digital, University Health Network, Toronto, Ontario, Canada, and Associate Professor, Institute of Health Policy, Management and Evaluation, and Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada. Dr. Tavares: Scientist and Assistant Professor, Wilson Centre, University Health Network, Toronto, Ontario, Canada, and Post-MD Education, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada, and York Region Paramedic and Senior Services, Regional Municipality of York, Community and Health Services Department, Newmarket, Ontario, Canada. Dr. Mylopoulos: Scientist & Associate Director, Wilson Centre, University Health Network, Toronto, Ontario, Canada, and Associate Professor, Department of Paediatrics, University of Toronto; Curriculum Scientist, MD Program and Medical Psychiatry Alliance (MPA), Toronto, Ontario, Canada. Dr. Campbell: Principal Senior Advisor, Competency-based Continuing Professional Development, Office of Specialty Education, Royal College of Physicians and Surgeons of Canada, Ottawa, Ontario, Canada, and Associate Professor, Faculty of Medicine, University of Ottawa, Ontario, Canada. Ms. Charow: Research Analyst, Education Technology and Innovation and Cancer Health Literacy Centre, University Health Network, Toronto, Ontario, Canada. Dr. Davis: Professor Emeritus, University of Toronto, Toronto, Ontario, Canada, and Visiting Professor, Mohammed Bin Rashid University of Medicine and Health Sciences, Dubai HealthCare City, Dubai, UAE. Dr. Okrainec: Head of the Division of General Survey, Director of the Temerty/Chang Telesimulation Centre, University Health Network, Toronto, Ontario, Canada, and Associate Professor, Department of Surgery, University of Toronto, Toronto, Ontario, Canada. Dr. Silver: Former Vice President of Education, Centre for Addiction and Mental Health; Professor, Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada. Dr. Sockalingam: Vice President of Education, Centre for Addiction and Mental Health, Centre of Mental Health, University Health Network, Toronto, Ontario, Canada, and Associate Professor, Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada.
Understanding cultural factors is key to optimizing continuing professional development (CPD) and lifelong learning (LLL) using clinical data. This study identifies barriers and facilitators to data-informed LLL for medical professionals.
Area of Science:
- Medical Education
- Healthcare Quality Improvement
- Professional Development
Background:
- Continuing professional development (CPD) and lifelong learning (LLL) are essential for high-quality healthcare.
- Optimizing CPD requires understanding cultural influences and the effective use of clinical data.
- Innovations in healthcare necessitate continuous adaptation and learning.
Purpose of the Study:
- To examine individual, organizational, and systemic cultural factors influencing CPD and the use of clinical data for LLL.
- To identify barriers and facilitators to data-informed LLL among psychiatrists and general surgeons.
- To develop a framework for optimizing data use in CPD activities.
Main Methods:
- Mixed-method study involving surveys, semistructured interviews, and document analysis.
- Investigated two distinct learner groups: psychiatrists and general surgeons.
- Employed purposive and maximum variation sampling for qualitative data collection.
Main Results:
- Explored perceptions of psychiatrists and general surgeons regarding data-informed LLL.
- Identified specific barriers and facilitators at individual, organizational, and systemic levels.
- Document analysis provided insights into policies governing clinical data use for performance improvement.
Conclusions:
- Cultural factors significantly impact the integration of clinical data into CPD and LLL.
- A framework is needed to guide the implementation of data-driven CPD activities.
- Addressing identified barriers is crucial for optimizing CPD and supporting practice change.
More Related Videos
06:32Author Spotlight: Automated Deep Brain Stimulation for Parkinson's Disease - Exploring the Possibilities and Challenges of Home Monitoring
Published on: July 14, 2023
09:47Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches
Published on: December 15, 2023
Related Concept Videos
01:17Performing a Simple Data Analysis using MS-Excel Function
SUM: This function calculates the total sum of a range of values. It's the foundation for aggregating data, essential for determining overall trends and totals in datasets.
AVERAGE: It computes the mean value of a given set of numbers, providing a quick insight into the central...
01:12Statistical Software for Data Analysis and Clinical Trials
01:11How Data are Classified: Categorical Data
Data are classified based on whether they are measurable or not. Categorical data cannot be measured; instead, it can be divided into categories. For example, if Y denotes a person's party affiliation, some examples of Y include...
00:59How Data are Classified: Numerical Data
Quantitative data may be either discrete or continuous. All quantitative data that take on only specific numerical...
01:24Data Reporting and Recording
01:15Data Validation
Key parameters for method validation include: