This course delves into the integration of artificial intelligence (AI) within healthcare, focusing on patient data management. Learners will explore the ethical and policy considerations surrounding AI applications in clinical and public health settings. The course emphasizes the significance of data quality and the potential impact of bias on clinical decision support systems. Participants will gain hands-on experience with AI and machine learning tools, including natural language processing (NLP) applications for clinical note summarization. Additionally, the course covers the integration of AI with electronic health records (EHRs) and clinical decision support systems, equipping learners with the knowledge to leverage AI for improved patient outcomes.
Skills you'll gain
- Decision Support Systems
- Machine Learning
- Clinical Data Management
- Clinical Informatics
- Regulatory Compliance
- Data Ethics
- Natural Language Processing
- Data Quality
- Data Governance
- Healthcare Industry Knowledge
- Health Technology
- Artificial Intelligence
- Electronic Medical Record System
- Responsible AI
- Health Care
- Health Information Management
- Health Informatics
Details to know
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December 2025
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There are 3 modules in this course
Discover the AI and machine learning tools transforming healthcare, including NLP for clinical notes, predictive analytics, and AI integration with EHRs.
What's included
22 videos3 readings2 assignments1 discussion prompt
Explore the ethical and policy considerations for AI in healthcare, including regulatory requirements and guidelines. Understand the importance of high-quality data and how bias can impact clinical decision support and patient care.
What's included
28 videos2 readings2 assignments
What's included
2 assignments
Instructor
Offered by
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Status: Free TrialUniversity of Colorado System
Status: Free TrialUniversity of Colorado System
Status: Free Trial
Status: Free Trial
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