AI in Patient Monitoring and Management
Transforming Patient Care with AI-Driven Monitoring and Management
Early access to e-LMS included
About This Course
This self-paced program explores the application of AI in patient monitoring and management, focusing on the integration of AI with wearable technology, telemedicine, and predictive health analytics. Participants will study case studies and prepare for healthcare AI certifications.
Aim
To provide PhD scholars and academicians with advanced skills in utilizing AI for continuous patient monitoring and management. This course aims to enhance patient care through wearable technology, telemedicine, and predictive health analytics.
Program Objectives
- Implement AI in wearable health technology.
- Enhance telemedicine with AI-driven solutions.
- Utilize predictive health analytics for patient care.
- Analyze and apply case studies of AI in patient monitoring.
- Prepare for healthcare AI certifications.
Program Structure
- The role and impact of AI in patient monitoring and management.
- Practical usage of AI in wearable health technology.
- Techniques for enhancing telemedicine with AI.
- Implementation of predictive health analytics.
- Preparation strategies for healthcare AI certifications.
Who Should Enrol?
Medical professionals, healthcare researchers, bioinformaticians, and academic researchers.
Program Outcomes
- Develop and implement AI-driven wearable health devices.
- Enhance telemedicine services with AI.
- Utilize predictive analytics for better patient outcomes.
- Analyze successful case studies of AI in healthcare.
- Prepare for and pass healthcare AI certification exams.
Fee Structure
Discounted: ₹21,499 | $291
We accept 20+ global currencies. View list →
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
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