Enter a program with which you will learn about the innovative market in e-Health and the application of new technologies in telemedicine"

Advances in e-Health have created possibilities for personalized and automated health care, and telemedicine has been very useful in this regard, opening the way to telemedicine care which, unlike conventional care, is universal. In this case, medical artificial intelligence makes it possible to monitor patients remotely or thanks to diagnostic imaging. The great advantages offered by these scientific advances have a direct impact on the health of society, which is why they have come to the forefront of business innovation to optimize clinical service. 

To educate the professionals of today and tomorrow who will be involved in healthcare practice, TECH Global University has developed a complete and rigorous program with the specific knowledge to create tools that project the usefulness of artificial intelligence in this field. As they study, the students will explore in depth monitoring with AI, artificial intelligence algorithms for image processing, language processing and processing, Natural Language Processing (NLP) in telemedicine and nano-robots, among many other issues. 

Additionally, the specialists will be guided by an expert team in AI and telemedicine to instruct them through theoretical knowledge, but also to share with them their experiences in the real field of action. Also, the 100% online modality applied by TECH Global University, creates new online learning formulas, which provide facilities to the students. Likewise, this Postgraduate diploma, is taught through audiovisual content that will be available to students wherever and whenever they need it. 

Enroll in a program that will not only teach you to understand the operation of healthcare devices, but will also give you a focus on the technological perspective that telemedicine requires"

This Postgraduate diploma in Applications of Artificial Intelligence, IoT, and Medical Devices in Telemedicine contains the most complete and up-to-date scientific program on the market. The most important features include: 

• The development of practical cases presented by experts in artificial intelligence and medical devices in telemedicine
• The graphic, schematic, and practical contents with which they are created, provide practical information on the disciplines that are essential for professional practice
• The practical exercises where the self-evaluation process can be carried out to improve learning
• Its special emphasis on innovative methodologies
• Theoretical lessons, questions to the expert, debate forums on controversial topics, and individual reflection assignments
• Content that is accessible from any fixed or portable device with an Internet connection

Thanks to the knowledge that TECH Global University will teach you, you will master the applications of Graphics Processing Unit (GPU) acceleration in medicine"

The program’s teaching staff includes professionals from the sector who contribute their work experience to this educational program, as well as renowned specialists from leading societies and prestigious universities.

Its multimedia content, developed with the latest educational technology, will allow the professional a situated and contextual learning, that is, a simulated environment that will provide an immersive training programmed to train in real situations.

The design of this program focuses on Problem-Based Learning, in which the professional will have to try to solve the different professional practice situations that will arise throughout the academic course. For this purpose, the student will be assisted by an innovative interactive video system created by renowned experts. 

Analyze the great advantages that await the technology in its real application in patients through remote monitoring"

Become a much more competitive professional by mastering remote patient monitoring by mastering IoT in patient monitoring and care" 

The content of this Postgraduate diploma in Applications of Artificial Intelligence, IoT, and Medical Devices in Telemedicine has been reviewed by experts who guarantee the quality and rigor of the syllabus in question. The great demand that exists in professions that work directly with AI in the healthcare field also includes nurses who work in this field. The main objective of the program is to guide students in the extensive knowledge of the latest e-Health techniques, developing, in turn, a broad and specialized knowledge about the importance of technological intervention in health. TECH Global University applies the Relearning methodology, which exempts the student from cumbersome hours of study, so that they become an expert in a simple and gradual way. In this way, the 100% online study adapts to your availability, both personally and professionally. 

Learn more about the "Digital Europe" program to understand how e-Health platforms develop at the European level"

Module 1. Applications of Artificial Intelligence and the Internet of Things (IoT) in Telemedicine

1.1. E-Health Platforms. Personalizing Healthcare Services

1.1.1. E-Health Platform
1.1.2. Resources for E-Health Platforms
1.1.3. Digital Europe Program. Digital Europe-4-Health and Horizon Europe

1.2. Artificial Intelligence in the Healthcare Field I: New Solutions in Computer Applications

1.2.1. Remote Analysis of Results
1.2.2. Chatbox
1.2.3. Prevention and Real-Time Monitoring
1.2.4. Preventive and Personalized Medicine in Oncology

1.3. Artificial Intelligence in Healthcare II

1.3.1. Monitoring Patients with Reduced Mobility
1.3.2. Cardiac Monitoring, Diabetes, Asthma
1.3.3. Health and Wellness Apps

1.3.3.1. Heart Rate Monitors
1.3.3.2. Blood Pressure Bracelets

1.3.4. Ethical Use of AI in the Medical Field. Data Protection

1.4. Artificial Intelligence Algorithms for Image Processing

1.4.1. Artificial Intelligence Algorithms for Image Handling
1.4.2. Image Diagnosis and Monitoring in Telemedicine

1.4.2.1. Melanoma Diagnosis

1.4.3. Limitations and Challenges in Image Processing in Telemedicine

1.5. Application Acceleration using Graphics Processing Units (GPU) in Medicine

1.5.1. Program Parallelization
1.5.2. GPU Operations
1.5.3. Application Acceleration using GPU in Medicine

1.6. Natural Language Processing (NLP) in Telemedicine

1.6.1. Text Processing in the Medical Field. Methodology
1.6.2. Natural Language Processing in Therapy and Medical Records
1.6.3. Limitations and Challenges in Natural Language Processing in Telemedicine

1.7. The Internet of Things (IoT) in Telemedicine. Applications

1.7.1. Monitoring Vital Signs. Wearables

1.7.1.1. Blood Pressure, Temperature, and Heart Rate

1.7.2. The IoT and Cloud Technology

1.7.2.1. Data Transmission to the Cloud

1.7.3. Self-Service Terminals

1.8. IoT in Patient Monitoring and Care

1.8.1. IoT Applications for Emergency Detection
1.8.2. The Internet of Things in Patient Rehabilitation
1.8.3. Artificial Intelligence Support in Victim Recognition and Rescue

1.9. Nanorobots. Typology

1.9.1. Nanotechnology
1.9.2. Types of Nanorobots

1.9.2.1. Assemblers. Applications
1.9.2.2. Self-Replicating. Applications

1.10. Artificial Intelligence in COVID-19 Control

1.10.1. COVID-19 and Telemedicine
1.10.2. Management and Communication of Breakthroughs and Outbreaks
1.10.3. Outbreak Prediction in Artificial Intelligence

Module 2. Telemedicine and Medical, Surgical and Biomechanical Devices

2.1. Telemedicine and Telehealth

2.1.1. Telemedicine as a Telehealth Service
2.1.2. Telemedicine

2.1.2.1. Telemedicine Objectives
2.1.2.2. Benefits and Limitations of Telemedicine
2.1.3. Digital Health. Technologies

2.2. Telemedicine Systems

2.2.1. Components in Telemedicine Systems

2.2.1.1. Personal
2.2.1.2. Technology

2.2.2. Information and Communication Technologies (ICT) in the Health Sector

2.2.2.1. t-Health
2.2.2.2. mHealth
2.2.2.3. u-Health
2.2.2.4. p-Health

2.2.3. Telemedicine Systems Assessment

2.3. Technology Infrastructure in Telemedicine

2.3.1. Public Switched Telephone Network (PSTN)
2.3.2. Satellite Networks
2.3.3. Integrated Services Digital Network (ISDN)
2.3.4. Wireless Technology

2.3.4.1. WAP. Wireless Application Protocol
2.3.4.2. Bluetooth

2.3.5. Microwave Connections
2.3.6. ATM Asynchronous Transfer Mode

2.4. Types of Telemedicine. Uses in Healthcare

2.4.1. Remote Patient Monitoring
2.4.2. Storage and Shipping Technologies
2.4.3. Interactive Telemedicine

2.5. Telemedicine: General Applications

2.5.1. Telecare
2.5.2. Telemonitoring
2.5.3. Telediagnostics
2.5.4. Teleeducation
2.5.5. Telemanagement

2.6. Telemedicine: Clinical Applications

2.6.1. Teleradiology
2.6.2. Teledermatology
2.6.3. Teleoncology
2.6.4. Telepsychiatry
2.6.5. Telehome-care

2.7. Smart Technologies and Care

2.7.1. Integrating Smart Homes
2.7.2. Digital Health to Improve Treatment
2.7.3. Telehealth Clothing Technology. “Smart Clothes”

2.8. Ethical and Legal Aspects of Telemedicine

2.8.1. Ethical Foundations
2.8.2. Common Regulatory Frameworks
2.8.4. ISO Standards

2.9. Telemedicine and Diagnostic, Surgical and Biomechanical Devices

2.9.1. Diagnostic Devices
2.9.2. Surgical Devices
2.9.2. Biomechanic Devices

2.10. Telemedicine and Medical Devices

2.10.1. Medical Devices

2.10.1.1. Mobile Medical Devices
2.10.1.2. Telemedicine Carts
2.10.1.3. Telemedicine Kiosks
2.10.1.4. Digital Cameras
2.10.1.5. Telemedicine Kit
2.10.1.6. Telemedicine Software

Module 3. Business Innovation and Entrepreneurship in eHealth

3.1. Entrepreneurship and Innovation

3.1.1. Innovation
3.1.2. Entrepreneurship
3.1.3. Startups

3.2. Entrepreneurship in E-Health

3.2.1. Innovative E-Health Market
3.2.2. Verticals in e-Health: mHealth
3.2.3. TeleHealth

3.3. Business Models I: First Stages in Entrepreneurship

3.3.1. Types of Business Models

3.3.1.1. Marketplaces
3.3.1.2. Digital Platforms
3.3.1.3. Saas

3.3.2. Critical Elements in the Initial Phase. The Business Idea
3.3.3. Common Mistakes in the First Stages of Entrepreneurship

3.4. Business Models II: Canvas Model

3.4.1. Canvas Business Model
3.4.2. Value proposition
3.4.3. Key Activities and Resources
3.4.4. Customer Segments
3.4.5. Customer Relationships
3.4.6. Distribution Channels
3.4.7. Partnerships

3.4.7.1. Cost Structure and Revenue Streams

3.5. Business Models III: Lean Startup Methodology

3.5.1. Create
3.5.2. Validate
3.5.3. Measure
3.5.4. Decide

3.6. Business Models IV: External, Strategic and Regulatory Analysis 

3.6.1. Red Ocean and Blue Ocean Strategies
3.6.2. Value Curves
3.6.3. Applicable E-Health Regulations

3.7. Successful E-Health Models I: Knowing Before Innovating

3.7.1. Analysis of Successful E-Health Companies
3.7.2. Analysis of Company X
3.7.3. Analysis of Company Y
3.7.4. Analysis of Company Z

3.8. Successful E-Health Models II: Listening before Innovating 

3.8.1. Practical Interview: e-Health Startup CEO
3.8.2. Practical Interview: "Sector X" Startup CEO
3.8.3. Practical Interview: "Startup X" Technical Management

3.9. Entrepreneurial Environment and Funding

3.9.1. Entrepreneur Ecosystems in the Health Sector
3.9.2. Financing
3.9.3. Funding

3.10. Practical Tools in Entrepreneurship and Innovation

3.10.1. Open-Source Intelligence (OSINT)
3.10.2. Analysis
3.10.3. No-Code Tools in Entrepreneurship

A program designed for specialists like you, who wish to apply OSINT tools to optimize their professional service"