[major=AI | course_id=AIH301m | syllabus_id=11221 | semester=5 | combo=AI17_COM3 | title=AI in Healthcare]
Course ID: AIH301m
Title EN: AI in Healthcare
Title VI: Ứng dụng TTNT trong chăm sóc sức khỏe
Credits: 3.0
Prerequisites: No
Description: Artificial intelligence (AI) has transformed industries around the world, and has the potential to radically alter the field of healthcare. The aim of this unit is to introducethe current and future applications of AI in healthcare with the goal of learning to bring AI technologies into the clinic safely and ethically. Students will be guided to analyze data on patient, such as diseases, medications, tests, or valuable health information, and get a sense of how AI could transform patient care and diagnoses.
Student tasks: - Students must attend at least 80% of contact slots in order to be accepted to the final examination.
- Student is responsible to do all exercises, assignments and labs given by instructor in class or at home and submit on time
- Use laptop in class only for learning purpose
- Promptly access to the FU FLM at https://flm.fpt.edu.vn/ for up-to-date course information
Tools: No
Course type: coursera_hybrid
Decision: 358/QĐ-ĐHFPT dated 04/03/2024
Approved date: 2024-04-03
CLO1: Learners should be able to describe the structure of healthcare systems, AI, and machine learning.
[1] category=Assignment 1; type=on-going; weight=10.0; duration=45'; question_type=CLO 1, CLO 2, CLO 8; grading_guide=- cover content 1-6; completion_criteria=; clos=>0
[2] category=Assignment 2; type=on-going; weight=10.0; duration=45'; question_type=CLO 4, CLO 5; grading_guide=- cover content 16-21; completion_criteria=; clos=>0
[3] category=Assignment 3; type=on-going; weight=10.0; duration=45'; question_type=CLO 6, CLO 7; grading_guide=- cover content 23-28; completion_criteria=; clos=>0
[4] category=Progress test 1; type=on-going; weight=15.0; duration=20'-30'; question_type=CLO 1, CLO 2, CLO 3, CLO 8; grading_guide=- cover content 1-14; completion_criteria=; clos=>0
[5] category=Progress test 2; type=on-going; weight=15.0; duration=20'-30'; question_type=CLO 4, CLO 5, CLO 6, CLO 7; grading_guide=- cover content 16-28; completion_criteria=; clos=>0
[6] category=Final exam; type=Final exam; weight=40.0; duration=60'; question_type=CLO 1 - 8; grading_guide=concepts, algorithms; all studied slides; completion_criteria=; clos=4
[1] desc=https://www.coursera.org/specializations/ai-healthcare; author=Coursera; publisher=Coursera; edition=; isbn=; main=True; online=True; note=
[2] desc=https://www.coursera.org/learn/intro-to-healthcare?specialization=ai-healthcare; author=Coursera; publisher=Coursera; edition=; isbn=; main=True; online=True; note=
[3] desc=https://www.coursera.org/learn/introduction-clinical-data?specialization=ai-healthcare; author=Coursera; publisher=Coursera; edition=; isbn=; main=True; online=True; note=
[4] desc=https://www.coursera.org/learn/fundamental-machine-learning-healthcare?specialization=ai-healthcare; author=Coursera; publisher=Coursera; edition=; isbn=; main=True; online=True; note=
[5] desc=https://www.coursera.org/learn/evaluations-ai-applications-healthcare?specialization=ai-healthcare; author=Coursera; publisher=Coursera; edition=; isbn=; main=True; online=True; note=
[6] desc=https://www.coursera.org/specializations/healthcare-it; author=Coursera; publisher=Coursera; edition=; isbn=; main=; online=True; note=
[7] desc=https://www.coursera.org/learn/ai-for-everyone; author=Coursera; publisher=Coursera; edition=; isbn=; main=; online=True; note=
[8] desc=- PowerPoint Slides; author=; publisher=; edition=; isbn=; main=; online=; note=
[9] desc=- Assignments 1; author=; publisher=; edition=; isbn=; main=; online=; note=
[10] desc=- Assignments 2; author=; publisher=; edition=; isbn=; main=; online=; note=
[11] desc=- Quiz for Progress Tests; author=; publisher=; edition=; isbn=; main=; online=; note=
Session 1: Course introduction:
- Introduce the materials of the courses and how to asses these materials
- Introduce the assignments and how to pass
- Introduce CMS and the way to log on to submit the assignments http://cms.btec.fpt.edu.vn and class forum with enroll key.
Topic: Offline; Teaching type: CLO 1; LO: IT
ITU: Course Implementation
- Syllabus AIH301m
- Slides, Videos
Materials: drive.google.com
Download: Read Slide and and Seft-Review

Session 2: 1.1. Overview of Health Care Systems and Key Challenges They Face:
1.1.1. The Basic Structure of Health Care Systems
Topic: Offline; Teaching type: CLO 1; LO: T
ITU: Slides, Videos of The Basic Structure of Health Care Systems
Materials: mat2
Download: Read Slide and and Seft-Review

Session 3: 1.1. Overview of Health Care Systems and Key Challenges They Face:
1.1.2. Three Key Challenges Facing Health Care Systems
Topic: Offline; Teaching type: CLO 1; LO: T
ITU: Slides, Videos of Three Key Challenges Facing Health Care Systems
Materials: drive.google.com
Download: Read Slide and and Seft-Review

Session 4: 1.2. Physicians, Physician Practices, and Physician Payment:
1.2.1. Physician Practices
1.2.2. Physician Payment
Topic: Offline; Teaching type: CLO 1, CLO 2; LO: T
ITU: Slides, Videos of Physician Practices and Physician Payment
Materials: drive.google.com
Download: Read Slide and and Seft-Review
CLO2: The major challenges and the issues in efforts to improve healthcare delivery and system.
Session 1: 1.3. Hospitals, Other Provider Organizations, and Related Payment Systems
1.3.1. Hospitals overview
1.3.2. Hospital payment
1.3.3. Non-Hospital facilities
Topic: Offline; Teaching type: CLO 1, CLO 2; LO: T
ITU: Videos of Hospitals overview, Hospital payment, and Non-Hospital facilities
Materials: drive.google.com
Download: Read Slide and and Seft-Review

Session 2: 1.3. Hospitals, Other Provider Organizations, and Related Payment Systems
1.3.4. Larger provider orgnizations
1.3.5. Pay for performance in provider payment
1.3.6. Providers and electronic records
Topic: Offline; Teaching type: CLO 1, CLO 2; LO: T
ITU: Slides, Videos of Larger provider orgnizations, Pay for performance in provider payment, and Providers and electronic records
Materials: drive.google.com
Download: Read Slide and and Seft-Review

Session 3: 1.4. Intermediaries, Health Insurance Plans, and Health Care Financing:
1.4.1. Intermediaries overview
1.4.2. Intermediary approaches to influencing healthcare utilization and spending
Topic: Offline; Teaching type: CLO 2; LO: T
ITU: Slides, Videos of Intermediaries overview, Intermediary approaches to influencing healthcare utilization and spending
Materials: drive.google.com
Download: Read Slide and and Seft-Review

Session 4: 1.4. Intermediaries, Health Insurance Plans, and Health Care Financing:
1.4.3. Common health plan designs
1.4.4. Different intermediaries offering healthcare coverage
Topic: Offline; Teaching type: CLO 2; LO: T
ITU: Slides, Videos of Common health plan designs, Different intermediaries offering healthcare coverage
Materials: drive.google.com
Download: Read Slide and and Seft-Review
CLO3: How to apply a framework for medical data mining, makes good research questions, and construct a data mining workflow.
Session 1: 1.5. Health Care Products and Prescription Drugs, and Quality Measurement and Improvement:
1.5.1. Healthcare product regulatiun: overview
1.5.2. Precription drug regulation and pricing
Topic: Offline; Teaching type: CLO 2; LO: T
ITU: Slides, Videos of Healthcare product regulatiun: overview, Precription drug regulation and pricing
Materials: drive.google.com
Download: Read Slide and and Seft-Review

Session 2: 1.5. Health Care Products and Prescription Drugs, and Quality Measurement and Improvement:
1.5.3. Quality measurement and improvement
Topic: Offline; Teaching type: CLO 2; LO: T
ITU: Slides, Videos of Quality measurement and improvement
Materials: drive.google.com
Download: Read Slide and and Seft-Review

Session 3: 1.6. Ethics in Healthcare System
1.6.1. Overview of AI applications in delivery of health care services and ethical issues
1.6.2. Ethical frameworks for health care and for AI
Topic: Offline; Teaching type: CLO 1, CLO 8; LO: T
ITU: Slides, Videos of Overview of AI applications in delivery of health care services and ethical issues, Ethical frameworks for health care and for AI
Materials: drive.google.com
Download: Read Slide and and Seft-Review

Session 4: 1.6. Ethics in Healthcare System
1.6.3. AI and incentives in health care delivery and payment structures
1.6.4. More examples of AI and incentives in health care delivery and payment structures
Topic: Offline; Teaching type: CLO 1, CLO 8; LO: T
ITU: Slides, Videos of AI and incentives in health care delivery and payment structures, More examples of AI and incentives in health care delivery and payment structures
Materials: drive.google.com
Download: Read Slide and and Seft-Review
CLO4: Define important relationships between the fields of machine learning, biostatistics, and computer programming.
Session 1: Review the introduction to healthcare
Topic: Offline; Teaching type: CLO 1, CLO 2, CLO 8; LO: U
ITU: Content 1-6
Materials: drive.google.com
Download: Read Slides and and Seft-Review

Session 2: Assignment 1
Topic: Offline; Teaching type: CLO 1, CLO 2, CLO 8; LO: 
ITU: Assignment 1
Materials: drive.google.com
Download: Assignment 1

Session 3: Review Assignment 1
Topic: Offline; Teaching type: CLO 1, CLO 2, CLO 8; LO: U
ITU: Assignment 1
Materials: drive.google.com
Download: Review Assignment 1

Session 4: 2.1. Asking and answering questions via clinical data mining:
2.1.1. The data mining workflow
2.1.2. Types of research questions
Topic: Offline; Teaching type: CLO 3; LO: T
ITU: Slides, Videos of The data mining workflow, Types of research questions
Materials: drive.google.com
Download: Read Slide and and Seft-Review
CLO5: The machine learning models in dynamic medical practices and discontinuous timelines impact clinical machine learning applications.
Session 1: 2.2. Data available from Healthcare systems:
2.2.1. The healthcare system
2.2.2. Healthcare data types
Topic: Offline; Teaching type: CLO 3; LO: T
ITU: Slides, Videos of The healthcare system, Healthcare data types
Materials: drive.google.com
Download: Read Slide and and Seft-Review

Session 2: 2.2. Data available from Healthcare systems:
2.2.3. Sources of bias and errors
2.2.4. Healthcare data sources
Topic: Offline; Teaching type: CLO 3; LO: T
ITU: Slides, Videos of Sources of bias and errors, Healthcare data sources
Materials: drive.google.com
Download: Read Slide and and Seft-Review

Session 3: 2.3. Representing time, and timing of events, for clinical data mining:
2.3.1. Healthcare happens over time
2.3.2. Representation of time
2.3.3. Data change over time
Topic: Offline; Teaching type: CLO 3; LO: T
ITU: Slides, Videos of Healthcare happens over time, Representation of time, and Data change over time
Materials: drive.google.com
Download: Read Slide and and Seft-Review

Session 4: 2.3. Representing time, and timing of events, for clinical data mining:
2.3.3. Data change over time
Topic: Offline; Teaching type: CLO 3; LO: T
ITU: Slides, Videos of Data change over time
Materials: drive.google.com
Download: Read Slide and and Seft-Review
CLO6: Principles and practical considerations for integrating AI into clinical workflows, improving the quality of healthcare applications.
Session 1: 2.4. Creating analysis ready datasets from patient timelines
2.4.1. Creating features to analyze
2.4.2. Missing values
Topic: Offline; Teaching type: CLO 3; LO: T
ITU: Slides, Videos of Creating features to analyze, Missing values
Materials: drive.google.com
Download: Read Slide and and Seft-Review

Session 2: 2.4. Creating analysis ready datasets from patient timelines
2.4.3. Creating new features
2.4.4. Knowledge graphs
Topic: Offline; Teaching type: CLO 3; LO: T
ITU: Slides, Videos of Creating new features, Knowledge graphs
Materials: drive.google.com
Download: Read Slide and and Seft-Review

Session 3: 2.5. Handling unstructured healthcare data: text, images, signals:
2.5.1. Unstructured data
2.5.2. Clinical text
Topic: Offline; Teaching type: CLO 3; LO: T
ITU: Slides, Videos of Unstructured data, Clinical text
Materials: drive.google.com
Download: Read Slide and and Seft-Review

Session 4: 2.5. Handling unstructured healthcare data: text, images, signals:
2.5.3. Images
2.5.4. Signals
Topic: Offline; Teaching type: CLO 3; LO: T
ITU: Slides, Videos of Images, Signals
Materials: drive.google.com
Download: Read Slide and and Seft-Review
CLO7: Learners should be able to understand AI-emerging technologies in the fields of healthcare.
Session 1: 2.6. Putting the pieces together: Electronic phenotyping
2.6.1. Electronic phenotyping
Topic: Offline; Teaching type: CLO 3; LO: T
ITU: Slides, Videos of Electronic phenotyping
Materials: drive.google.com
Download: Read Slide and and Seft-Review

Session 2: 2.6. Putting the pieces together: Electronic phenotyping
2.6.2. Two approaches to phenotyping
Topic: Offline; Teaching type: CLO 3; LO: T
ITU: Slides, Videos of Two approaches to phenotyping
Materials: drive.google.com
Download: Read Slide and and Seft-Review

Session 3: 2.7. Ethics in Clinical Data
2.7.1. Research Ethics and AI
2.7.2. The Belmont Report: A Framework for Research Ethics
2.7.3. Ethical Issues in Data sources for AI
Topic: Offline; Teaching type: CLO 3, CLO 8; LO: T
ITU: Slides, Videos of Research Ethics and AI, The Belmont Report: A Framework for Research Ethics, Ethical Issues in Data sources for AI
Materials: drive.google.com
Download: Read Slide and and Seft-Review

Session 4: 2.7. Ethics in Clinical Data
2.7.4. Secondary Uses of Data
2.7.5. Return of Results
2.7.6. AI and The Learning Health System
Topic: Offline; Teaching type: CLO 3, CLO 8; LO: T
ITU: Slides, Videos of Secondary Uses of Data, Return of Results, AI and The Learning Health System
Materials: drive.google.com
Download: Read Slide and and Seft-Review
CLO8: The ethical issues for the combination of healthcare system and AI.
Session 1: Review the introduction to clinical data
Topic: Offline; Teaching type: CLO 1, CLO 2, CLO 3, CLO 8; LO: U
ITU: Content 1-14
Materials: drive.google.com
Download: Read Slides and and Seft-Review

Session 2: Progress Test 1
Topic: Offline; Teaching type: CLO 1, CLO 2, CLO 3, CLO 8; LO: 
ITU: Progress Test 1
Materials: drive.google.com
Download: Test 1

Session 3: Review the Test 1
Topic: Offline; Teaching type: CLO 1, CLO 2, CLO 3, CLO 8; LO: U
ITU: Progress Test 1
Materials: drive.google.com
Download: Review Test 1

Session 4: 3.1. Why machine learning in healthcare?
3.1.1. History of machine learning in healthcare
3.1.2. The magic of machine learning and the different approaches
Topic: Offline; Teaching type: CLO 4; LO: T
ITU: Slides, Videos of History of machine learning in healthcare, The magic of machine learning and the different approaches
Materials: drive.google.com
Download: Read Slide and and Seft-Review
Session 1: 3.2. Concepts and Principles of machine learning in healthcare part 1
3.2.1. Machine Learning Terms, Definitions, and Jargon
3.2.3. How Machines Learn
Topic: Offline; Teaching type: CLO 4; LO: T
ITU: Slides, Videos of Machine Learning Terms, Definitions, and Jargon, How Machines Learn
Materials: drive.google.com
Download: Read Slide and and Seft-Review

Session 2: 3.2. Concepts and Principles of machine learning in healthcare part 1
3.2.4. Supervised Machine Learning
3.2.5. Traditional machine learning
Topic: Offline; Teaching type: CLO 4; LO: T
ITU: Slides, Videos of Supervised Machine Learning, Traditional machine learning
Materials: drive.google.com
Download: Read Slide and and Seft-Review

Session 3: 3.3. Concepts and Principles of machine learning in healthcare part 2
3.3.1. Deep learning and neural networks
3.3.2. Important concepts in deep learning
Topic: Offline; Teaching type: CLO 4; LO: T
ITU: Slides, Videos of Deep learning and neural networks, Important concepts in deep learning
Materials: drive.google.com
Download: Read Slide and and Seft-Review

Session 4: 3.3. Concepts and Principles of machine learning in healthcare part 2
3.3.3. Types of neural networks and applications
3.3.4. Overview of common neural networks
Topic: Offline; Teaching type: CLO 4; LO: T
ITU: Slides, Videos of Types of neural networks and applications, Overview of common neural networks
Materials: drive.google.com
Download: Read Slide and and Seft-Review
Session 1: 3.4. Evaluation and Metrics for machine learning in healthcare
3.4.1. Critical evaluation of models and strategies for healthcare applications
Topic: Offline; Teaching type: CLO 4; LO: T
ITU: Slides, Videos of Critical evaluation of models and strategies for healthcare applications
Materials: drive.google.com
Download: Read Slide and and Seft-Review

Session 2: 3.4. Evaluation and Metrics for machine learning in healthcare
3.4.2. Important metrics for clinical machine learning
Topic: Offline; Teaching type: CLO 4; LO: T
ITU: Slides, Videos of Important metrics for clinical machine learning
Materials: drive.google.com
Download: Read Slide and and Seft-Review

Session 3: 3.5. Strategies and Challenges in Machine Learning in Healthcare
3.5.1. Challenges and strategies for clinical machine learning
3.5.2. Interpretability and performance of machine learning models in healthcare
Topic: Offline; Teaching type: CLO 5; LO: T
ITU: Slides, Videos of Challenges and strategies for clinical machine learning, Interpretability and performance of machine learning models in healthcare
Materials: drive.google.com
Download: Read Slide and and Seft-Review

Session 4: 3.5. Strategies and Challenges in Machine Learning in Healthcare
3.5.3. Medical data for machine learning
Topic: Offline; Teaching type: CLO 5; LO: T
ITU: Slides, Videos of Medical data for machine learning
Materials: drive.google.com
Download: Read Slide and and Seft-Review
Session 1: 3.6. Best practices, teams, and launching your machine learning journey
3.6.1. Designing and evaluating clinical machine learning applications
Topic: Offline; Teaching type: CLO 5; LO: T
ITU: Slides, Videos of Designing and evaluating clinical machine learning applications
Materials: drive.google.com
Download: Read Slide and and Seft-Review

Session 2: 3.6. Best practices, teams, and launching your machine learning journey
3.6.2. Human factors in clinical machine learning - from job displacement to automation bias
3.6.3. Recommended Reading for Ethics
Topic: Offline; Teaching type: CLO 5; LO: T
ITU: Slides, Videos of Human factors in clinical machine learning - from job displacement to automation bias, Recommended Reading for Ethics
Materials: drive.google.com
Download: Read Slide and and Seft-Review

Session 3: Review the fundamentals of machine learning for healthcare
Topic: Offline; Teaching type: CLO 4, CLO 5; LO: U
ITU: Content 16-21
Materials: drive.google.com
Download: Read Slides and and Seft-Review

Session 4: Assignment 2
Topic: Offline; Teaching type: CLO 4, CLO 5; LO: 
ITU: Assignment 2
Materials: drive.google.com
Download: Assignment 2
Session 1: Review Assignment 2
Topic: Offline; Teaching type: CLO 4, CLO 5; LO: U
ITU: Assignment 2
Materials: drive.google.com
Download: Review Assignment 2

Session 2: 4.1. Al in Healthcare
4.1.1. Current Al Models in Healthcare
4.1.2. Growth of Alin Healthcare
4.1.3. How to Know if an Al model is Good
Topic: Offline; Teaching type: CLO 6; LO: T
ITU: Slides, Videos of Current Al Models in Healthcare, Growth of Alin Healthcare, How to Know if an Al model is Good
Materials: drive.google.com
Download: Read Slide and and Seft-Review

Session 3: 4.2. Evaluations of Al in Healthcare
4.2.1. A Framework for Evaluation
4.2.2. Outcome: Action Pairing
Topic: Offline; Teaching type: CLO 6; LO: T
ITU: Slides, Videos of A Framework for Evaluation, Outcome: Action Pairing
Materials: drive.google.com
Download: Read Slide and and Seft-Review

Session 4: 4.2. Evaluations of Al in Healthcare
4.2.3. Clinical Utility
4.2.4. Feasibility
Topic: Offline; Teaching type: CLO 6; LO: T
ITU: Slides, Videos of Clinical Utility, Feasibility
Materials: drive.google.com
Download: Read Slide and and Seft-Review
Session 1: 4.3. Al Deployment
4.3.1. Al Deployment
4.3.2. Design and Development
4.3.3. Evaluate and Validate
Topic: Offline; Teaching type: CLO 6; LO: T
ITU: Slides, Videos of Al Deployment, Design and Development, Evaluate and Validate
Materials: drive.google.com
Download: Read Slide and and Seft-Review

Session 2: 4.3. Al Deployment
4.3.4. Product Validation
4.3.5. Difuse and Scale
4.3.6. Monitoring and Maintenance
4.3.7. Challenges
Topic: Offline; Teaching type: CLO 6; LO: T
ITU: Slides, Videos of Product Validation, Difuse and Scale, Monitoring and Maintenance, Challenges
Materials: drive.google.com
Download: Read Slide and and Seft-Review

Session 3: 4.4. Downstream Evaluations of Al in Healthcare: Bias and Fairness
4.4.1. Bias in Al Solutions
4.4.2. Types of Bias
Topic: Offline; Teaching type: CLO 6; LO: T
ITU: Slides, Videos of Bias in Al Solutions, Types of Bias
Materials: drive.google.com
Download: Read Slide and and Seft-Review

Session 4: 4.4. Downstream Evaluations of Al in Healthcare: Bias and Fairness
4.4.3. Algorithmic Fairness
4.4.4. Transparency
4.4.5. Downstream Evaluations
Topic: Offline; Teaching type: CLO 6; LO: T
ITU: Slides, Videos of Algorithmic Fairness, Transparency, Downstream Evaluations
Materials: drive.google.com
Download: Read Slide and and Seft-Review
Session 1: 4.5. The Regulatory Environment for Al in Healthcare
4.5.1. Overview
4.5.2. Components of Regulation
4.5.3. Clinical Evaluation Process
Topic: Offline; Teaching type: CLO 7; LO: T
ITU: Slides, Videos of Overview, Components of Regulation, Clinical Evaluation Process
Materials: drive.google.com
Download: Read Slide and and Seft-Review

Session 2: 4.5. The Regulatory Environment for Al in Healthcare
4.5.4. FDA Application
4.5.5. Product Approval
4.5.6. Global Environment
Topic: Offline; Teaching type: CLO 7; LO: T
ITU: Slides, Videos of FDA Application, Product Approval, Global Environment
Materials: drive.google.com
Download: Read Slide and and Seft-Review

Session 3: 4.6. Best Ethical Practices for Al in Health Care
4.6.1. Problem Formulation
4.6.2. Identifying Conflicts of Interest
4.6.3. Mitigating Conflicts of Interest
Topic: Offline; Teaching type: CLO 7; LO: T
ITU: Slides, Videos of Problem Formulation, Identifying Conflicts of Interest, Mitigating Conflicts of Interest
Materials: drive.google.com
Download: Read Slide and and Seft-Review

Session 4: Review the evaluations of AI applications in healthcare
Topic: Offline; Teaching type: CLO 6, CLO 7; LO: U
ITU: Content 16-28
Materials: drive.google.com
Download: Read Slides and and Seft-Review
Session 1: Progress Test 2
Topic: Offline; Teaching type: CLO 4 - 7; LO: U
ITU: Assignment 3
Materials: drive.google.com
Download: Review Test 2

Session 2: Review Progress Test 2
Topic: Offline; Teaching type: CLO 4 - 7; LO: 
ITU: Progress Test 2
Materials: drive.google.com
Download: Review Test 2

Session 3: Assignment 3
Topic: Offline; Teaching type: CLO 6 - 7; LO: U
ITU: Contents 23-28
Materials: drive.google.com
Download: Assignment 3

Session 4: Summary All Slides, Tests, and Assignments
Topic: Offline; Teaching type: CLO 1 - 8; LO: U
ITU: All Contents
Materials: drive.google.com
Download: Review and Group discussion