An avant-garde and innovative degree with which you can implement the best strategies related to Artificial Intelligence and telecare to your physiotherapy practice” 

Artificial Intelligence has undoubtedly become a widely advantageous technology for the clinical sector. The multiple benefits that have been obtained from its development have allowed millions of specialists around the world to optimize their diagnostic and treatment strategies, reducing waiting times and guaranteeing more effective and personalized care. In the case of Physiotherapy, strategies such as non-invasive neuromodulation (widely used in diseases such as fibromyalgia, for example) or digital rehabilitation through applications that analyze the position and range of movement of the person, have considerably favored the recovery of their physical conditions and, therefore, their well-being and their quality of life.

Based on the results that have been obtained to date, more and more specialists wish to implement these technologies and therapeutic guidelines in their consultations, in order not only to adapt their service to future strategies, but also to to be able to offer their patients more and better alternatives. That is why this University Expert becomes a guide through which the graduate can get up to date on the news in this sector, also focusing on how the Internet of Things (IoT) and artificial intelligence have favored the development of increasingly effective and efficient medical, surgical and biomechanical devices. Finally, the specialist will delve into the keys to transform your clinic into the center of the future through knowledge of the best innovation techniques business for E-Health.

For this, students will have 450 hours of diverse content, which not only includes the agenda, designed by experts in Bioinformatics and Biomedical Engineering, but also real clinical cases and a multitude of audiovisual material. All this presented in a comfortable 100% online format accessible from any device with an internet connection. In this way, the physiotherapist will be able to invest his time in updating himself on the trends that will lead the future of his profession while continuing with his activity in the practice.

Do you run a clinic and would like to get up to date on business innovation strategies in E-Health? Enroll in this Postgraduate diploma and transform it into the clinical center of the future” 

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
• Practical exercises where self-assessment can be used to improve learning
• Its special emphasis on innovative methodologies
• Theoretical lessons, questions for 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 program designed by experts in Artificial Intelligence and IoT, with which, in less than 6 months, you will be able to update your knowledge of the most cutting-edge Telemedicine systems” 

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 provide the professional with situated and contextual learning, i.e., a simulated environment that will provide an immersive education designed to learn in real situations.

The design of this program focuses on Problem-Based Learning, by means of which the professional must try to solve different professional practice situations that are presented throughout the academic course. This will be done with the help of an innovative system of interactive videos made by renowned experts.

In the Virtual Campus you will have access to 450 hours of diverse material, from the syllabus to real clinical cases and varied audiovisual content to delve into each module in a personalized way"

Knowing in detail the most avant-garde monitoring techniques and their ethical challenges will allow you to apply Artificial Intelligence always in relation to the best for the patient"

Both the design of the structure and the content of this Postgraduate diploma have been carried out by the teaching team, which, in addition to selecting the most innovative and exhaustive information, have designed the best and most varied additional material. All this following the strict quality guidelines that define TECH. In this way, graduates who accesses the program will be able to update themselves, on the news of E-Health in a dynamic and multidisciplinary way, but, above all, guaranteed, through a 100% online experience.

Acquiring extensive and specialized knowledge about the most effective business models in E-Health will allow you to carry out value proposals based on future technology” 

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:

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. to 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. 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. 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 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. 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. 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

Do not think about it anymore and bet on a program that allows you to implement the best diagnostic and treatment strategies with which you will succeed in your professional field in your physiotherapy practice”