Digital Transformation in Healthcare

Transform healthcare delivery with our dynamic course that integrates autonomous robots, addensive manufacturing, augmented reality/virtual reality/mixed reality, big data analysis, iomt devices, cloud computing solutions, cybersecurity measures, system integration methods and artificial intelligence insights into your skill set. Propel your career forward by mastering these pivotal technologies that shape modern healthcare.

Why should you attend?

The digital transformation in healthcare represents a seismic shift in the way medical services are delivered and managed. This course dives deep into the integration of cutting-edge technologies like Autonomous Robots, Additive Manufacturing, and Augmented Reality/Virtual Reality/Mixed Reality into the healthcare ecosystem. We explore how autonomous robots enhance operational efficiencies with their advanced algorithms for locomotion and environment perception, as well as their design and implementation for various healthcare applications. The module on Additive Manufacturing unpacks its principles, materials, processes, benefits, and drawbacks, illustrating its transformative impact on patient-specific treatments and medical device production. 

Augmented Reality/Virtual Reality/Mixed Reality are dissected to understand their unique attributes and comparative advantages in medical training and patient care. Big Data's role in Digital Health Analysis is scrutinized to reveal how data-driven decisions can bolster clinical support systems and public health informatics while addressing telemedicine's evolving landscape. The Internet of (Medical) Things - IoMT section discusses its potential, devices, and challenges, highlighting how connected devices revolutionize patient monitoring and treatment. Cloud Computing's relevance to healthcare is examined through its service models, challenges, and best practices for adoption.

Cybersecurity is critically analyzed to identify threats to information assets and strategies for risk management in the sensitive healthcare sector. System Integration's necessity for streamlined operations is explained along with its types and benefits. Artificial Intelligence's application in healthcare demystifies AI concepts while addressing ethical considerations. Lastly, the Digital Healthcare module provides a comprehensive overview of identifying problems, evaluating digital solutions, supporting innovation, assessing financial impacts, understanding digital transformation trends, and recognizing opportunities in this rapidly evolving field.

What you'll learn

• Examine cloud computing models suitable for healthcare infrastructure.
• Explore the potential of Internet of (Medical) Things - IoMT in enhancing patient outcomes.
• Demystify Artificial Intelligence applications in healthcare while considering ethical issues.
• Understand the fundamentals of autonomous robots in healthcare.
• Analyze the impact of Big Data on clinical decision-making and public health informatics.
• Differentiate between Augmented Reality/Virtual Reality/Mixed Reality applications in medical settings.
• Recognize the importance of system integration for efficient healthcare operations.
• Identify cybersecurity threats specific to the healthcare industry and learn risk management strategies.
• Learn about additive manufacturing processes and their implications for patient care.
• Assess the financial impacts of digital transformation trends within the healthcare sector.

Course Syllabus

Autonomous robots

• What is Autonomous robots?
• Basic concepts and algorithm required for mobile robot locomotion
• Environment perception

Autonomous robots

• Probabilistic map used localization and mapping
• Motion planning
• Design and implementation of autonomous robots

Additive Manufacturing

• Introduction to additive manufacturing
• Principles of additive manufacturing
• Materials used in additive manufacturing

Additive Manufacturing

• Additive manufacturing process
• Benifits of additive manufacturing
• Drawbacks of additive manufacturing

Augmented, Virtual and Mixed Reality

• Introduction to Augmented, Virtual and Mixed Reality
• Comparison to Augmented, Virtual and Mixed Reality

Big Data, Digital Health Analysis and Design

• Decisions Determine Data
• Clinical Decision Support
• Public Health Informatics

Big Data, Digital Health Analysis and Design

• Consumer Health Informatics
• Telemedicine Concept and Future of Telemedicine Technology

Internet of (Medical) Things - IoMT

• What is Internet of (Medical) Things - IoMT?
• The potential of Internet of (Medical) Things - IoMT
• IoMT devices
• IoMT challenges

Cloud Computing

• Introuction to cloud computing
• Traditional IT and cloud computing
• Cloud service models

Cloud Computing

• Cloud computing challenges
• Best practices for healthcare to benifit from cloud computing services

Cybersecurity

• What is cyber security?
• Information assets
• Potential cyber threats and protection in healthcare
• Cyber risk management in healthcare

System Intergration

• What is system intergartion?
• Why should system be intergrated?
• Benifits of system intergration
• Types of system intergration that can utilize in healthcare

Artificial Intelligence

• What is AI? Applications and examples of AI
• AI concepts, Terminology and application areas in healthcare
• AI: Issues, Concerns, and ethical considerations

Digital Healthcare

• Identifying the healthcare problem
• Evaluating the digital solution and generating evidence
• Supporting the digital innovation
• Healthcare digital future
• Calculated risks
• Data and tools
• Financial impact of digital transformation
• Top Five Digital Transformation Trends in Healthcare
• Digital Healthcare: What Are the Opportunities?