A program with which you will apply, in only 6 weeks, AI to the clinical setting thanks to the simulation of real cases"

Technology has not only enabled advances in diagnosis and streamlined clinical recording, but also makes it possible to remotely follow patients with serious epidemiological conditions. In its struggle to offer a much more personalized and individualized service, the health care labor market is calling for experts in ICTs, IoT and new technologies. Having this skill will be essential not only for the specialists of tomorrow, but also for those who are already in the profession and have to adapt to its constant changes.

The benefit of being able to forecast a disease before it spreads has a direct impact on the wellbeing of patients. For this reason, it is essential that health professionals are prepared to deal with specific cases, applying specific treatments in each of them and with technological tools that speed up rehabilitation. All this in order to promote the efficacy of pharmacological treatments and predict the behavior of diseases.

To address this professional demand, TECH offers this postgraduate certificate in Artificial Intelligence and IoT Applications in Telemedicine. Graduates in Nursing and other scientific branches who receive the teaching, will specialize in the application of technologies in medicine, its algorithms and its newest tools. Additionally, they will have the support of teachers who have worked in the clinical sector for years and audiovisual materials, which will be shared through different formats and that will make the program a much more dynamic and enriching process.

Be part of the development of computer applications in the field of oncology to determine tumor cases with similar characteristics in a multitude of patients"

This postgraduate certificate in Artificial Intelligence and IoT Applications in Telemedicine contains the most complete and up-to-date scientific program on the market. The most important features include:

• Development of practical cases presented by experts in Artificial Intelligence and IoT
• 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

Have you not yet mastered AI applied to your professional field? Don't get left behind and specialize with a 100% online education that adapts to your needs"

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.

Thanks to TECH, you will learn more about the role of IoT in emergency detection and victim recognition"

Learn about the advantages of AI in patient monitoring with blood pressure cuffs"

This university program aims to expand and update the health care knowledge of those specialists who wish to focus on AI in telemedicine. The main objective is to project the career of the professionals enrolled towards changes in E-health and its tools in the clinical setting. Thanks to its 100% online mode, the course is flexible and adaptable to the personal and professional needs of the specialists. In this way, it will be the student who decides the pace of study, while acquiring all the necessary knowledge to develop E-health and IoT products, both computing and communication.

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General Objectives

• Develop key concepts of medicine that will serve as a vehicle for the understanding of clinical medicine
• Determine the major diseases affecting the human body classified by apparatus or systems, structuring each module into a clear outline of pathophysiology, diagnosis, and treatment
• Determine how to obtain metrics and tools for health care management
• Understand the basics of basic and translational scientific methodology
• Examine the ethical and best practice principles governing the different types of research in health sciences
• Identify and generate the means of funding, assessing and disseminating scientific research
• Identify the real clinical applications of the various techniques
• Develop the key concepts of computational science and theory
• Determine the applications of computer science and its implication in bioinformatics
• Provide the necessary resources to practically apply all the concepts in the modules
• Develop the fundamental concepts of databases
• Determine the importance of medical databases
• Delve into the most important techniques in research
• Identify the opportunities offered by the IoT in the field of E-Health
• Provide specialized knowledge of the technologies and methodologies used in the design, development and assessment of telemedicine systems
• Determine the different types and applications of telemedicine
• Study the most common ethical aspects and regulatory frameworks of telemedicine
• Analyze the use of medical devices
• Develop the key concepts of entrepreneurship and innovation in E-Health
• Determine what a business model is and the types that exist
• Collect E-Health success stories and mistakes to avoid
• Apply the knowledge acquired to an original business idea

Specific Objectives

• Propose communication protocols in different scenarios in the health care field
• Analyze IoT communication, as well as its application areas in E-Health
• Substantiate the complexity of artificial intelligence models in its use in health care
• Identify the optimization brought by parallelization in GPU-accelerated applications and its use in health care
• Present all the Cloud technologies available to develop E-Health and IoT products, both in computing and communication

Enroll now in this postgraduate certificate, so that you can intervene as a multidisciplinary professional in the management of health crisis due to epidemiological diseases"