Introduction to Digital Health and AI Medicine.pptx

"Introduction to Digital Health & AI Medicine" explores the transformative impact of technology on modern healthcare, focusing on how digital health innovations and artificial intelligence (AI) are revolutionizing patient care, diagnostics, and treatment. This presentation delves into key advancements such as telemedicine, wearable health technology, electronic health records (EHRs), and AI-driven medical imaging, highlighting their role in enhancing efficiency, accessibility, and decision-making in medicine. By examining real-world applications, ethical considerations, and future trends, this session provides a comprehensive overview of how AI and digital tools are reshaping the healthcare industry, paving the way for more personalized, data-driven, and proactive patient care.

1. Introduction to Digital Health & AI Medicine Part 1

2. Definition of Digital Health & AI Medicine Applications of Digital Health & AI Medicine in Healthcare Management Introduction to Digital Health & AI Medicine Benefits of Digital Health & AI Medicine in Healthcare Management Challenges & Opportunities Case Studies Future Trends & Implications

3. DIGITAL HEALTH: integration of digital technologies, such as electronic health records, telemedicine, and health apps, into the healthcare systems to enhance the efficiency of healthcare delivery, improve patient outcomes, and personalize medical services. AI IN MEDICINE: involves the application of artificial intelligence technologies, including Large Language Model (LLM), Machine Learning (ML), Natural Language Processing (NLP), deep learning and neural networks, to interpret medical data, assist in diagnosis, predict patient outcomes, personalize treatment and optimizes patients’ management plans. DEFINITION OF DIGITAL HEALTH AND AI MEDICINE

4. Data Analytics and Predictive Modeling Learn how data analytics and predictive modeling empower healthcare professionals to make evidence-based decisions and improve patient outcomes Precision Medicine and Personalized Healthcare Discover how digital health and AI contribute to the advancement of precision medicine and the delivery of personalized healthcare tailored to individual patients Applications in Healthcare Management Remote Patient Monitoring and Telemedicine Explore how digital health and AI enable Remote Patient Monitoring (RPM) and breakthroughs in telemedicine, transforming the delivery of healthcare services

5. Applications in Healthcare Management Remote Patient Monitoring (RPM) & Outreach Telemedicine Wearable Device & Apps Patient-Generated Health Data (PGHD) Chronic Disease Management AI-Driven Analytics Virtual Healthcare

6. Applications in Healthcare Management Data Analytics and Predictive Modeling Early Disease Detection Risk Stratification Triage & Patient Flow Management AI-Assisted CDSS Performance Metrics Health Economics Health Informatics

7. Applications in Healthcare Management Precision Medicine and Personalized Healthcare Genomic Data Analysis Biomarker Discovery PGHD: Personalized Treatment Predictive Analytics for Disease Risk Pharmacogenomics & Drug Development NLP

8. Benefits in Healthcare Management Improved Patient Outcomes and Safety Enhanced Efficiency and Productivity Cost Savings and Resource Optimization Early Disease Detection & Stratification Personalized Treatment Plan Predictive Risk Enhanced Diagnostic Accuracy Prescription Safety RPM & PGHD EMR-HIS & NLP Administrative Task Automation: AI-Chatbots for Scheduling Predictive Analytics for Patient Flow Telemedicine & RPM Robotic Process Automation (RPA) Optimized Patient Care: Preventing Complications Tailored Diagnostics Predictive Analytics for Resource Allocations Fraud Detection & Billing Accuracy Remote Training

9. Challenges and Opportunities 1 Data Privacy and Security Concerns Data Safety & Cybersecurity Threats Risks of Interoperability & Data Sharing Digital Fraud & Patient Identity Management Data Ownership & Control 2 Regulatory and Ethical Considerations Regulatory Compliance PDPA 2010 Medical Device Authority (MDA) MOH Guidelines on Digital Health & AI Medicine Ethics Telemedicine & RPM Ethics Guidelines Patients Acceptance, Consent & Privacy AI Algorithm Bias Professional Oversight DIGITAL HEALTH & AI MEDICINE MANAGEMENT, ADMINISTRATION & GOVERNANCE

10. Future Trends and Implications 1 Emerging Technologies 2 Role of Healthcare Professionals Edge Computing: Low latency, fast processing for PGHD AR/VR for Healthcare Digital Therapeutics Biometric RPM AI as Adjuvant Patient Engagement & Advocacy Continuous Learning & Professional Development Data-driven Insights

11. Conclusion 1 Recap of Key Points Digital health and AI are transformative forces reshaping healthcare management From personalized medicine to remote monitoring, these technologies enhance patient care, improve outcomes, and drive efficiency As healthcare professionals adapt and collaborate, the potential for positive impact on global healthcare is significant 2 Embracing Digital Health and AI Medicine A strategic approach for building sustainable, efficient, and patient-centric healthcare systems Not only address current healthcare challenges but also positions the industry for a more resilient and adaptive future, ensuring the continuous delivery of high-quality patient management and optimized care