A 100% online format that will adapt to your personal and professional possibilities with the support of a teaching team that will guarantee your education"

Advances in e-Health have created possibilities for personalized and automated healthcare. In this case, medical artificial intelligence makes it possible to monitor patients remotely or thanks to diagnostic imaging. Today, among the optimal advantages offered by telemedicine, they manage to save lives not only of patients, but also of healthcare professionals. 

To create tools that project the usefulness of artificial intelligence in this field, expert engineers are required to master technological infrastructures, diagnostic, surgical and biomechanical devices, and to be able to create industrial diagnostic instruments. TECH offers this program to engineering graduates who want to develop their career towards the future of healthcare. This orientation will be guided in an exhaustive way by expert teachers in the area, who will guarantee their education. 

The 100% online modality applied by TECH to investigate in this field, creates new online learning formulas, which provide facilities to the students. This Postgraduate diploma in Applications of Artificial Intelligence, IoT, and Medical Devices in Telemedicine will be taught through audiovisual content that will be available to students whenever and wherever they need it, even at the end of the program.

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

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. Its most notable features are:

• 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 self-assessment can be used 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

Remote patient monitoring is now possible, explore its benefits against infectious diseases and become an expert in interactive telemedicine"

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, the student will be assisted by an innovative interactive video system created by renowned and experienced experts.  

Still think artificial intelligence is our competitor? Sign up to become an expert in this area with GUP professionals.

Thanks to the knowledge that TECH will transmi, you will learn about the multiple advantages that IoT brings by communicating devices with each other.

The syllabus of this Postgraduate diploma in Applications of Artificial Intelligence, IoT, and Medical Devices in Telemedicine has been designed by experts in the field who will transmit their knowledge through audiovisual content that is easy to assimilate. In addition, TECH applies a Relearning methodology that exempts the students from cumbersome hours of study, so that they can become experts in a simple and gradual way. In this way, the 100% online study will be adapted to your availability, through theoretical and practical exercises that will prepare you for real cases. 

Apply ISO standards to standardize the management, service delivery and development of industrial products involved in telemedicine"

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 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: Monitoring and Ethical Challenges

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. IT 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-Replicators. 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. M-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. 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. Tele-education
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. Home Care (Telehomecare)

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. Biomechanical 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 E-Health

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: M-Health
3.2.3. Tele-Health

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. 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 professionals like you, who understand artificial intelligence as the future of telemedicine"