The Big Data Program brings together in one place a wealth of information from patients distributed around the world." 

Big Data is a program that has a huge amount of data that grows exponentially every year. For respiratory pathologies, it can hold a large amount of data from patients' medical records or from the multiple electronic monitoring devices that many have with them. It is an important tool nowadays, due to the speed with which information is produced and collected, allowing professionals to analyze the state of individual or population health, improve the early approach to each patient and make more accurate decisions to generate a timely diagnosis.

In practice, taking advantage of the enormous processing and analysis capacity of this program represents a qualitative leap in the treatment of respiratory diseases. Starting from this point, this postgraduate diploma in Big Data in Pulmonology seeks to show in depth the conceptual aspects of precision medicine and the use of information sources that the program provides to professionals.

In addition, it is an excellent opportunity to learn about the applications of Big Data in the study of the epidemiology of respiratory diseases, making use of the procedures used in these pathologies, as well as in obstructive respiratory diseases and disorders related to sleep.

By the end of the modules, it will be possible to have a broader perspective of the usefulness of Big Data when detecting the infectious origin of some diseases, and how environmental pollution has a major impact on respiratory infections. Other diseases such as lung cancer, interstitial diseases, pulmonary thromboembolism and pulmonary hypertension will also be evaluated.

This postgraduate diplomain Big Data in Pulmonology contains the most complete and up-to-date scientific program on the market. The most important features of the program include:

• The development of case studies presented by experts in Big Data in Pulmonology
• 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 to perform the self-assessment process to improve the learning process
• 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

Meet your professional goals and grow in your field with a postgraduate diploma focused on the relationship between Big Data and Pulmonology"

The program’s teaching staff includes professionals from the sector who contribute their work experience to this training 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 training programmed to train 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 academic year. For this purpose, the professional will be supported by an innovative interactive video system created by renowned and experienced experts. 

Learn about the relationship between the environment and respiratory diseases through information stored in Big Data"

The professors of this postgraduate diploma in Big Data in Pulmonology are professionals with years of experience in the sector"

In order to specialize in a specific area and have new competencies, it is important for the student to have a program that helps them achieve new goals. TECH's objective is to guarantee a theoretical and practical education for its students to reach their maximum potential in their working life. With this in mind and always seeking excellence, a program has been developed that allows students to update their knowledge of the profession they practice, emphasizing those key aspects of Big Data in Pulmonology, establishing a series of general and specific objectives for the greater satisfaction of the future graduate, of which the following stand out: 

Learn from a theoretical-practical perspective and boost your career in an area of medicine with high professional growth". 

General Objectives

• Provide in-depth knowledge on the relationship between Big Data and Pulmonology
• Interpret and generate knowledge with the information provided by primary and secondary sources in the area of Genetics
  Improve evaluation for prognosis and prevention of respiratory diseases
• Understand the precision treatment of pulmonary pathology in the daily practice of medicine
• Acquire a solid knowledge of the different pulmonary pathologies and their genetic basis

Specific Objectives

Module 1. Personalized Precision Medicine and Big Data in Pulmonology prelude

• Delve into the health care and ethical implications of Precision Medicine
• Study in depth the sources of information on Precision Medicine
• Master the “omic biomarkers ” of interest in Pulmonology
• Determine the contribution of specific care in personalized care

Module 2. Big Data and Respiratory Diseases I

• Know the applications of Big Data in the study of the epidemiology of
• Respiratory Diseases
• Discuss the usefulness of Big Data in the evaluation of procedures used in respiratory pathology
• Explain how Big Data can help in the study of risk factors for Respiratory Diseases
• Describe the utility of Big Data in the management of obstructive diseases and sleep ventilation disorders

Module 3. Bi g Data and Respiratory Diseases II

• Know the usefulness of Big Data in the study of Respiratory Diseases of infectious origin
• Discuss the use of Big Data to assess the impact of environmental pollution on respiratory infections
• Study in depth the importance of Big Data in the evaluation of other
• Respiratory Diseases such as pleural pathology, lung cancer, interstitial diseases, pulmonary thromboembolism and pulmonary hypertension
• Describe the applications of Big Data in the field of Neonatal Onset Respiratory Diseases

Knowing the applications of Big Data in Pulmonology allows professionals to have at their disposal an immense volume of information to improve their diagnoses"