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When personal health data is no longer "personal"
Natalie Ceccato1, Courtney Price1
1Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada.
Healthcare Management Forum
|August 3, 2019
Summary
Canadian healthcare
Area of Science:
- Health Informatics
- Data Science in Healthcare
- Health Policy and Law
Background:
- The Canadian Personal Health Information Protection and Electronics Documents Act (2000) established patient control over personal health information.
- Significant advancements in data collection, integration, and analysis have occurred since 2000.
- Public healthcare entities lag behind commercial sectors in leveraging data analytics due to challenges in data access, analysis, and patient consent.
Purpose of the Study:
- To highlight the gap in Canadian healthcare's adoption of data analytics compared to commercial sectors and other countries.
- To identify challenges hindering the effective use of personal health data in Canadian healthcare.
- To propose strategies for health leaders to advance data application for system improvements.
Main Methods:
- The article reviews the evolution of data analytics capabilities and their implications for healthcare.
- It analyzes the barriers to data collection, access, analysis, and patient consent within the Canadian healthcare system.
- It discusses the role of health leaders in overcoming these challenges.
Main Results:
- Canadian healthcare faces significant challenges in harnessing the benefits of data analytics.
- Patient consent remains a critical and complex issue in the application of personal health data.
- Despite successes, Canadian healthcare lags behind international benchmarks and commercial sectors in data analytics utilization.
Conclusions:
- A collective approach to data collection, storage, linkage, and application is crucial for Canadian healthcare system improvement.
- Addressing patient consent is paramount to unlocking the potential of health data.
- Health leaders are pivotal in driving the adoption and effective use of data analytics for better healthcare outcomes.