If you want to focus your professional career in the field of telemedicine, this is the best educational option to achieve it in only 6 months and 100% online”

The development of IoT and artificial intelligence applied to medicine has brought innumerable benefits to this field, from improvements related to doctor-patient communication and vice versa, to the inclusion of increasingly innovative and effective diagnostic and therapeutic techniques. An example of this is the possibility of remotely monitoring a patient's vital signs from a distance, as well as automatic data collection and analysis, which not only saves time and costs, but also reduces errors to a minimum.

However, there is no limit to the expectations for the future in this field and they will continue to evolve as technology evolves. Therefore, it is a field in which IT professionals can find a broad professional opportunity, so specializing in it could be an opportunity to position oneself at the top of the industry.

Hence TECH has considered necessary the development of this Postgraduate diploma in Applications of Artificial Intelligence, IoT, and Medical Devices in Telemedicine. 
This is a 100% online educational experience with which the graduate will acquire a thorough knowledge of the ins and outs of e-Health in the current environment: existing platforms, the most effective applications and the best tools for monitoring and patient care. In addition, you will be able to delve into the characteristics of the surgical and biomechanical devices that have been most successful in this field, as well as the essential requirements for undertaking a business project based on e-Health.

This is the most complete program to specialize in this field, in which, in addition to the best syllabus, additional material has been included so that graduates can dynamically contextualize the information and delve in a personalized way into the sections they consider most relevant for their professional performance. All this in only 6 months of education that will mark a before and after in your professional career.

Among the most outstanding features of this Postgraduate diploma is the provision of the most exhaustive information so that you can start your own e-Health company with guaranteed success”

This Postgraduate diploma in Applications of Artificial Intelligence, IoT, and Medical Devices in Telemedicine contains the most complete and up-to-date 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
• Practical exercises where the self-assessment 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

A qualification that will undoubtedly mark a before and after in your career as an IT specialist. Don't you believe us? Enroll and find out how!"

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.

The multimedia content, developed with the latest educational technology, will provide the professional with situated and contextual learning, i.e., a simulated environment that will provide immersive education programmed to learn in real situations.

This program is designed around Problem-Based Learning, whereby the professional must try to solve the different professional practice situations that arise during the course. For this purpose, students will be assisted by an innovative interactive video system created by renowned and experienced experts.

A unique academic opportunity to learn in detail the applications of GPU acceleration in medicine through increasingly specialized medical and genomic devices"

Would you like to be able to include the most specific algorithms for image processing to your knowledge? Choose this TECH program and you will be able to apply for a job in this field"

This 100% online Postgraduate diploma includes the most comprehensive and up-to-date information in the Telemedicine field. As a result, the IT professional will be able to implement the latest data and strategies for data computing and the development of specialized medical devices into their knowledge. All this through cutting-edge, dynamic education that will elevate your knowledge to the pinnacle of the industry in just 6 months or 540 hours.

You will have 540 hours of diverse material on the Virtual Campus: videos in detail, research articles, complementary readings and much more!”

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

1.1. eHealth Platforms. Personalizing Healthcare Services

1.1.1. e-Health Platforms
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 Healthcare 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 IT and Cloud Technology

1.7.2.1. Data Transmission to the Cloud

1.7.3. Self-Service Terminals

1.8. The IT in Patient Monitoring and Care

1.8.1. The IT 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. Nano-Robots. Typology

1.9.1. Nanotechnology
1.9.2. Types of Nano-Robots

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. m-Health
2.2.2.3. u-Health
2.2.2.4. pHealth

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. Asynchronous Transfer Mode (ATM)

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
2.8.3. ISO Standards

2.9. Telemedicine and Diagnostic, Surgical and Biomechanical Devices

2.9.1. Diagnostic Devices
2.9.2. Surgical Devices
2.9.3. 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 eHealth

3.2.1. Innovative eHealth Market
3.2.2. Verticals in eHealth: 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): Business Model Canvas

3.4.1. Business Model Canvas
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. OSINT (Open Source Intelligence) Tools
3.10.2. Analysis
3.10.3. No-Code Tools in Entrepreneurship

You will not find a program on the market that offers you as much as this TECH Postgraduate diploma. That's why we are the best option and why you should choose us”