Mentor Based
AI in Telemedicine: Designing the Digital Health Wave
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Course Overview
Program Syllabus
Module 1
About This Course
This course is designed to explore the cutting-edge of telehealth technologies, offering participants a deep dive into the latest innovations, best practices, and regulatory frameworks that shape telehealth services today.
Module 2
Aim
The course aims to prepare healthcare professionals, IT specialists, and innovators with the skills to design, implement, and manage effective telehealth programs that improve access to care, patient outcomes, and healthcare delivery efficiency.
Module 3
Program Objectives
- Understand the foundational concepts and historical evolution of telehealth.
- Explore the latest innovations in telehealth technologies, including AI, IoT, and mobile health applications.
- Examine the regulatory, ethical, and privacy considerations specific to telehealth services.
- Gain practical skills in designing and implementing telehealth solutions.
- Learn strategies for engaging patients and healthcare providers in telehealth programs.
- Evaluate the impact of telehealth on healthcare delivery and patient outcomes.
Module 4
MODULE 1 : Introduction to Telehealth
- Defining telehealth and its components
- Historical evolution and the current state of telehealth
- Key drivers of telehealth adoption
Lead Instructor
Dr. Sarah Chen
PhD in Computational Mechanics from MIT with 15+ years of experience in Industrial AI. Former Lead Data Scientist at Tesla and current advisor to Fortune 500 manufacturing firms.
Limited SeatsClosing Soon
AI in Telemedicine: Designing the Digital Health Wave
Professional Certification Program
🎥
FormatLive + Recorded
📅
Duration8 Weeks
📜
CertificationVerified
Module 5
MODULE 2 : Technological Innovations in Telehealth
- Overview of AI, IoT, and mobile applications in telehealth
- Emerging technologies shaping the future of telehealth
- Case studies of successful telehealth implementations
Module 6
MODULE 3 : Regulatory and Ethical Considerations
- Telehealth regulations and compliance (HIPAA, GDPR, and others)
- Ethical considerations in providing virtual care
- Ensuring patient privacy and data security in telehealth services
Module 7
MODULE 4 : Designing Telehealth Programs
- Best practices for telehealth program design and implementation
- User experience design for telehealth platforms
- Integrating telehealth into existing healthcare systems
MODULE 5 : Patient and Provider Engagement
- Strategies for engaging patients in telehealth services
- Training and support for healthcare providers
- Overcoming barriers to telehealth adoption
Module 8
MODULE 6 : Evaluating Telehealth Outcomes
- Metrics and methods for evaluating telehealth programs
- Telehealth’s impact on healthcare access, cost, and quality
- Future trends and directions in telehealth research
Module 9
Who Should Enrol?
Healthcare professionals, IT specialists, entrepreneurs, and graduates in related fields looking to specialize in AI-driven telemedicine and digital health.
Module 10
Program Outcomes
- Comprehensive understanding of telehealth technologies and their application in healthcare.
- Ability to design and implement effective and compliant telehealth programs.
- Skills to engage and support both patients and providers in the use of telehealth services.
- Insights into the regulatory and ethical considerations specific to telehealth.
- Preparedness to lead and innovate in the rapidly evolving field of telehealth technologies.
Module 12
What You’ll Gain
- Full access to e-LMS
- Real-world dry lab projects
- 1:1 project guidance
- Publication opportunity
- Self-assessment & final exam
- e-Certificate & e-Marksheet
Module 13
Join Our Hall of Fame!
Take your research to the next level with NanoSchool.
Module 14
Publication Opportunity
Get published in a prestigious open-access journal.
Module 15
Centre of Excellence
Become part of an elite research community.
Module 16
Networking & Learning
Connect with global researchers and mentors.
Module 17
Global Recognition
Worth ₹20,000 / $1,000 in academic value.
Module 18
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