BC Advantage - 2019 Issue 2
Humans and AI Better Together
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Article Overview
This article reviews a healthcare-focused discussion of artificial intelligence drawn from recent JAMA commentary and related examples. It explains why AI is seen as useful for pattern detection, prioritization, and workflow support, while also highlighting the continuing importance of human judgment, empathy, and patient context. The piece is relevant to clinicians, healthcare informatics readers, data scientists, and operational leaders interested in how AI may support care delivery and chronic disease management.
Why This Topic Matters
The article helps readers understand the practical promise and current limitations of AI in clinical settings, especially where better data, unstructured information, and social determinants of health may shape outcomes. It is useful for anyone evaluating how technology and human care can work together in patient management and population-level workflows.
What You Will Learn
- How AI can support healthcare workflow and pattern recognition
- Why human clinicians remain essential in patient care
- How data quality and unstructured information affect AI usefulness
- Why social and contextual information matters in healthcare analytics
- How predictive models may support prioritization of higher-risk patients
Who Should Read This
- Clinicians
- Healthcare informaticists
- Data scientists
- Population health teams
- Healthcare administrators
- Nephrology professionals
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