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.
AI Integration in Healthcare Patient Data
AI Integration in Healthcare Patient Data
This course is part of Digital Healthcare Informatics and AI Specialization
Instructor: Frank Naeymi-Rad
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1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Skills you'll gain
- Health Care Procedure and Regulation
- Clinical Data Management
- Artificial Intelligence and Machine Learning (AI/ML)
- Clinical Documentation
- Data Quality
- Data Ethics
- Regulatory Compliance
- Natural Language Processing
- Decision Support Systems
- Machine Learning
- Health Information Management
- Responsible AI
- Artificial Intelligence
- Healthcare Ethics
- Health Care
- Health Informatics
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Recently updated!
December 2025
Taught in English
91%
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This course is part of the Digital Healthcare Informatics and AI Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 3 modules in this course
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University of Colorado System
University of Colorado System
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