Description

Thanks to this professional master’s degree you will learn about the advantages of E-Health and Big Data applied to the healthcare sector”

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Although biomedicine is one of the most remarkable discoveries in the medical field, the truth is that new technologies have made it possible to implement informatics in patient rehabilitation processes. From the massive processing of data for research into rare diseases, to applications that allow the monitoring of patients with serious pathologies or even those that monitor blood sugar levels in patients with diabetes. These are advances that have brought significant improvements in the daily lives of those affected and also in their family environment.  

The cost-effective and safe use of technologies, as designated by the WHO, is reflected in the concept of eHealth. Major scientific developments have also incorporated key tools for the development of healthcare treatments. Moreover, thanks to innovation in healthcare centers, it has been possible to improve clinical management and optimize healthcare services. TECH Technological University's main objective is to boost the career of graduates who wish to increase their skills in the technological health service and are interested in the simultaneous development of telemedicine.  

This program addresses the theoretical-practical foundations of modern medicine to generate a global and deep vision of the new biomedical incorporations. Additionally, this program delves into bioprinting, biomedical imaging and the possibilities offered by artificial intelligence in pattern recognition in medical images.  

TECH Technological University has proposed this study with the collaboration of expert teachers in the health area and, in addition, instruct the specialists with their real experiences in the field of action. This is an innovative and 100% online degree, which applies the Relearning, methodology, so that nurses do not have to spend long hours memorizing the syllabus, but are able to assimilate it in a progressive and simple way. All this, so that the specialist integrates the E-Health tools in his profession and collaborates in its development.  

Don't wait any longer, distinguish yourself as a specialist in a sector that has already incorporated E-Health platforms to personalize the healthcare service”

This professional master’s degree in E-Health and Big Data contains the most complete and up-to-date scientific program on the market. The most important features include:

  • Practical cases presented by experts in Information and Communication Technology focused on the healthcare services
  • The graphic, schematic, and practical contents with which they are created, provide scientific and 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

Boost your career thanks to bioinformatics computing and Big Data techniques, so that you master all fields of the healthcare area”

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 professionals to learn in a contextual and situated learning environment, i.e., a simulated environment that will provide immersive education programmed to prepare in real situations. 

The design of this program focuses on Problem-Based Learning, by means of which professionals must try to solve the different professional practice situations that are presented to them throughout the academic year. For this purpose students will be assisted by an innovative interactive video system developed by renowned experts. 

With this program you will understand the importance of massive data processing against epidemiological diseases”

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Join the change in eHealth by applying artificial intelligence and the Internet of Things (IoT) to telemedicine”

Objectives

The main purpose of the professional master’s degree in E-Health and Big Data is to broaden and update the knowledge of nursing graduates This degree goes into the techniques, recognition and intervention through biomedical imaging, as well as bioinformatics computing and databases so that, in addition to increasing their skills towards patients, they also know the tools to optimize the clinical record and its database. By delving into the technical aspects of the hospital system and mastering the tools to implement biomedical design in the healthcare area, the student will boost his or her professional career towards a future perspective of new technologies.

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TECH Technological University focuses on updating your nursing knowledge so that, together with other specialists, you can adapt to the technological paradigm”

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 healthcare management
  • Understand the basics of basic and translational scientific methodology 
  • Examine the ethical principles and good practices that govern the different types of health sciences research
  • 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 E-HealthField 
  • 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. Molecular Medicine and Pathology Diagnosis 

  • Understand the diseases of the circulatory and respiratory systems
  • Determine the general pathology of the digestive and urinary systems, the general pathology of the endocrine and metabolic systems and the general pathology of the nervous system
  • Generate expertise in diseases affecting the blood and musculoskeletal system and diseases of the locomotor system

Module 2. Health system Management and Administration in Health Centers

  • Determine what a health system is 
  • Analyze the different healthcare models in Europe
  • Examine how the healthcare market functions 
  • Develop key knowledge of hospital design and architecture
  • Generate specialized knowledge of health measures 
  • Delve into resource allocation methods 
  • Compile productivity management methods 
  • Establish the role played by Project Managers

Module 3. Research in Health Sciences 

  • Determine the need for scientific research 
  • Interpret scientific methodology 
  • Specify the need for types of research in health sciences, each in their context 
  • Establish the principles of evidence-based medicine 
  • Examine the needs to interpret scientific results
  • Develop and interpret the basics of clinical trials 
  • Examine the methodology of dissemination of scientific research results and the ethical and legislative principles that govern it

Module 4. 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 
  • In-depth study of 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 the recognition of patterns in medical images, thus deepening innovation in the medical sector

Module 5. Computation in Bioinformatics 

  • Understand the concept of computation 
  • Break down a computer system into its various parts 
  • Distinguish between the concepts of computational biology and bioinformatics computing
  • Master the most commonly used tools in the field 
  • Determine future trends in computing 
  • Analyze biomedical datasets using Big Data techniques

Module 6. Biomedical Databases 

  • Understand the concept of biomedical information databases 
  • Examine the different types of biomedical information databases 
  • Study data analysis methods in depth 
  • Compile models that are useful in predicting outcomes 
  • Analyze patient data and organize it logically 
  • Report on large amounts of information 
  • Determine the main lines of research and testing 
  • Utilize tools for bioprocess engineering

Module 7. Big Data in Medicine: Massive Medical Data Processing

  • Gain specialized knowledge of mass data collection techniques in biomedicine
  • Analyze the importance of data preprocessing in Big Data 
  • Determine the differences that exist between the data of the different techniques of massive data collection, as well as their special characteristics in terms of preprocessing and processing
  • 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 8. Applications of Artificial Intelligence and the Internet of Things (IoT) in Telemedicine

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

Module 9. Telemedicine and Medical, Surgical and Biomechanical Devices

  • Analyze the evolution of telemedicine 
  • Assess the benefits and limitations of telemedicine 
  • Examine the different types, use and clinical benefits of telemedicine 
  • Assess the most common ethical aspects and regulatory frameworks for the use of telemedicine
  • Establish the use of medical devices in healthcare in general and in telemedicine specifically
  • Determine the use of the Internet and the medical resources it provides 
  • Delve into the main trends and future challenges in telemedicine

Module 10. Business Innovation and Entrepreneurship in E-Health

  • Analyze the e-Health market in a systematic and structured way 
  • Learn the key concepts of innovative ecosystems 
  • Create businesses using the Lean Startup methodology 
  • Analyze the market and competitors 
  • Find a solid value proposition in the marketplace 
  • Identify opportunities and minimize rates of error 
  • Handle the practical tools for environment analysis and practical tools to quickly test and validate your idea
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Analyze the effectiveness of the technological application in telemedicine to use biomechanical advances and surgical devices that promote improvement of those affected"

Professional Master's Degree in E-Health and Big Data

The Professional Master's Degree in E-Health and Big Data is an academic program specializing in the integration and use of information technology in the world of healthcare. This Professional Master's Degree is designed for healthcare and informatics professionals who wish to enhance their understanding of this exciting and rapidly growing area. The healthcare industry is changing rapidly and innovators must be at the forefront of the evolution. This program explores the latest advances in information technology and how they are being used in healthcare. Students will learn the fundamentals of Big Data and data analytics and their practical application in healthcare. The goal of this Professional Master's Degree is to encourage the use of technological innovations in healthcare in order to improve the quality of patient care and achieve more efficient and cost-effective care. Participants will learn the fundamental concepts of medical informatics, including topics such as information security, decision making and project management.

Why study at TECH?

TECH Technological University is ranked by Forbes as the best digital university in the world, thanks to its 10,000 university degrees in 10 different languages, many of them under 100% online modality so that more students in the world live the TECH experience. In short, the Professional Master's Degree in E-Health and Big Data is a challenging and innovative academic program that is designed to prepare students to work in the healthcare and information technology sector, fostering the use of emerging technologies to improve access and quality of healthcare. Enroll today and join the next generation of healthcare technology leaders!