Description

The best program to specialize in Big Data and its tools applied to the Telemedicine sector and 100% online"

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The advances that have been made in the area of Telemedicine have made it possible to implement increasingly specialized and effective diagnostic and treatment strategies in clinical practice, optimizing processes and generating new intervention techniques. This has been possible thanks to the development of Big Data, which has favored the massive processing of data and its storage, creating, additionally, algorithms through which computer systems analyze information and automate a series of processes. This not only saves time and costs, but has also favored the emergence of cutting-edge methods related, for example, to the analysis of biomedical images.

The acceptance of this area within E-Health has created a very large labor demand for IT professionals, not only to continue research and development work, but also to ensure optimal and guaranteed maintenance of existing ones. However, in order to carry out these tasks, the professional must have a detailed knowledge of the field in question, which is why this postgraduate diploma comes at the best time. This is a comprehensive and cutting-edge program based on the latest developments in Telemedicine. Through 450 hours of training, the graduate will be able to delve into the techniques of recognition and intervention through biomedical images, the application of Big Data in Medicine and the adaptation of artificial intelligence and IoT to this sector.

All this over 6 months and through a 100% online program, which, in addition to collecting the latest information, includes additional high quality material: detailed videos, research articles, self-knowledge exercises, complementary readings, dynamic summaries and much more! In this way, the computer scientist will be able to access a program adapted to their needs and those of the current market, and with which they will reach the peak of their professional career in a booming area such as E-Health.

Would you like to know in detail the most cutting-edge and specialized medical mass data processing strategies? Enroll in this program and become an Expert in 6 months"

This postgraduate diploma in Biomedical Image Analysis and Big Data in E-Health contains the most complete and up-to-date educational program on the market. The most important features include:

  • The development of practical cases presented by experts in biomedical imaging and databases
  • 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

You will have additional diverse material to deepen your knowledge in areas such as magnetic resonance imaging, its clinical applications and its physical foundations so that you can get to know them from the inside and in their entirety"

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 the specificity of the program, you will be able to delve into the current and future applications of artificial intelligence and IoT to Telemedicine"

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This postgraduate diploma is defined in three words: flexibility, comprehensiveness and avant-garde. Would you like to check it out?

Objectives

TECH and its team of experts in Telemedicine have developed this program with the goal that the IT professional can know in detail this sector, specifically as it relates to the analysis of biomedical images and the application of Big Data. For this purpose, they have selected the necessary information and material that will allow them, in just 6 months, to acquire a broad and specialized knowledge about this area of E-Health in a 100% online way.

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Do you want to know in detail the most innovative transcriptomics strategies and their application in Telemedicine? If this is one of your objectives, this program will give you the keys to achieve it in a guaranteed way"

General Objectives

  • Develop key concepts of medicine that serve as a vehicle to understand 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 computation 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
  • Delve into 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

Module 1. Techniques, Recognition and Intervention using Biomedical Imaging

  • Examine the fundamentals of medical imaging technologies
  • Develop expertise in radiology, clinical applications and physical fundamentals
  • Analyze ultrasound, clinical applications and physical fundamentals
  • Delve into tomography, computed and emission tomography, clinical applications and physical fundamentals
  • Determine how to manage magnetic resonance imaging, clinical applications and physical fundamentals
  • Generate advanced knowledge of nuclear medicine, differences between PET and SPECT, clinical applications and physical fundamentals
  • Discriminate noise in the image, reasons for it and image processing techniques to reduce it
  • Present image segmentation technologies and explain their usefulness
  • Gain a deeper understanding of the direct relationship between surgical interventions and imaging techniques
  • Establish the possibilities offered by artificial intelligence in recognizing patterns in medical images, and thus deepen innovation in the field

Module 2. Big Data in Medicine: Massive Medical Data Processing

  • Develop specialized knowledge on mass data collection techniques in biomedicine
  • Analyze the importance of data preprocessing in Big Data
  • Determine the differences between the data derived from different massive data collection techniques, as well as their special characteristics in terms of pre-processing and handling
  • Provide ways of interpreting results from massive data analysis
  • Examine the applications and future trends in the field of Big Data in biomedical research and public health

Module 3. Applications of Artificial Intelligence and the Internet of Things (IoT) in Telemedicine

  • 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
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The objective of this program is for you to finish your course having become a true expert in Biomedical Image Analysis and Big Data in E-Health in just 450 hours"

Postgraduate Diploma in Biomedical Image Analysis and Big Data in e-Health

Nowadays, technology applied to the health sector is constantly evolving, and it is increasingly necessary to train professionals who master the techniques and tools available. Our university's Postgraduate Diploma in Biomedical Image Analysis and Big Data in e-Health is designed to train experts capable of applying data analysis and artificial intelligence in the field of healthcare. In this program, it delves into the study of biomedical imaging, through the exploration of image processing techniques, artificial intelligence and big data, for the diagnosis and treatment of diseases.

This program aims to provide the professional with the necessary knowledge for the design and development of technological solutions in the health area, and for the interpretation of data obtained through the use of big data and machine learning techniques. In addition, the different medical image acquisition techniques will be analyzed, and the knowledge of the main pathologies that are treated through the analysis of these images will be deepened, as well as the different medical image segmentation and analysis techniques for the extraction of relevant information. With our program, the professional will be trained to work in multidisciplinary teams, collaborating with other healthcare specialists to provide a high quality service in the diagnosis and treatment of diseases.