This Postgraduate certificate will help you to advance unstoppably in your professional growth as a practitioner specialized in Big Data and its medical applications"

Big Data Analytics in the healthcare sector with Machine Learning offers numerous benefits for both healthcare and biomedical research. Among them, its ability for telemedicine and remote assistance stands out. Artificial Intelligence is also useful for identifying risk factors and trends in the health of the population. In this way, medical personnel can implement preventive interventions or policies in a more effective way.  Moreover, this intelligent tool favors better resource management in the medical environment. It helps to predict the demand for medical care, optimize the allocation of personnel and reduce operating costs.

In view of this, TECH is developing a Postgraduate certificate that will address in detail the fundamentals of Big Data  in the health sector through Artificial Intelligence. The curriculum will delve into the implementation of tools and protocols to ensure the quality of data used in clinical analysis. At the same time, the syllabus will delve into the evaluation of quality in health data analysis, using innovative indicators. Emphasis will also be placed on data mining protocols, with the aim of enabling graduates to make more reliable diagnoses when studying a wide range of clinical and biomedical information.

On the other hand, this program will provide students with a solid theoretical foundation, enabling them to apply it in real situations, thanks to the leadership and support of a distinguished faculty, composed of experts with extensive professional experience. In this way, TECH offers students the exclusive Relearning methodology, an innovative pedagogical teaching system based on the reiteration of essential concepts, thus guaranteeing an efficient assimilation of knowledge. The only thing professionals will need is an electronic device capable of accessing the Internet to access the Virtual Campus and enjoy the most dynamic didactic material on the academic market.

You will adopt creative health communication tactics and your patients will be highly informed about their health"

This Postgraduate certificate in Big Data Analysis in the Healthcare Sector with Artificial Intelligence contains the most complete and up-to-date program on the market. The most important features include:

• Development of practical cases presented by experts in Artificial Intelligence in Clinical Practice
• 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 self-assessment can be used 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 implement effective governance frameworks to ensure ethical and responsible management of clinical data"

The program’s teaching staff includes professionals from the field who contribute their work experience to this educational 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 education programmed to learn 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 students will be assisted by an innovative interactive video system created by renowned and experienced experts.

You will design collection and preprocessing strategies that guarantee the confidentiality of medical information"

You will achieve your objectives thanks to TECH's didactic tools, including explanatory videos and interactive summaries"

This university program will allow graduates to acquire a comprehensive approach to the implementation of Big Data techniques for data analysis in the health sector. The syllabus will delve into multiple methods for retrieving informative materials, using Data Mining procedures. Similarly, the curriculum will delve into embeddingtechniques that will help clinicians make informed clinical decisions. Didactic content will also address the development of comprehensive data security strategies to protect confidentiality and privacy in the healthcare sector.

You will master the most innovative Big Data techniques in the healthcare field, thanks to this cutting-edge TECH program"

Module 1. Analysis of Big Data  in the Healthcare Sector with AI

1.1. Big Data Fundamentals in Health

1.1.1. The Explosion of Data in Healthcare
1.1.2. Concept of Big Data and Main Tools
1.1.3. Applications of Big Data in Healthcare

1.2. Text Processing and Analysis of Health Data

1.2.1. Concepts of Natural Language Processing
1.2.2. Embedding Techniques
1.2.3. Application of Natural Language Processing in Health Care

1.3. Advanced Methods for Data Retrieval in Health Care

1.3.1. Exploration of Innovative Techniques for Efficient Data Retrieval in Health Care
1.3.2. Development of Advanced Strategies for Extracting and Organizing Information in Health Care Settings
1.3.3. Implementation of Adaptive and Personalized Data Retrieval Methods for Diverse Clinical Contexts

1.4. Quality Assessment in Health Data Analysis

1.4.1. Development of Indicators for Rigorous Assessment of Data Quality in Health Care Settings
1.4.2. Implementation of Tools and Protocols for Quality Assurance of Data Used in Clinical Analyses
1.4.3. Continuous Assessment of the Accuracy and Reliability of Results in Health Data Analysis Projects

1.5. Data Mining and Automatic Learning in Healthcare

1.5.1. Main Methodologies for Data Mining
1.5.2. Health Data Integration
1.5.3. Detection of Patterns and Anomalies in Health Data

1.6. Innovative Areas of Big Data and AI in Healthcare

1.6.1. Exploring New Frontiers in the Application of Big Data and AI to Transform the Healthcare Sector
1.6.2. Identifying Innovative Opportunities for the Integration of Big Data and AI Technologies in Medical Practices
1.6.3. Development of Cutting-edge Approaches to Maximize the Potential ofBig Dataand AI in Healthcare

1.7. Medical Data Collection and Preprocessing

1.7.1. Development of Efficient Methodologies for Medical Data Collection in Clinical and Research Settings
1.7.2. Implementation of Advanced Preprocessing Techniques to Optimize Medical Data Quality and Utility
1.7.3. Design of Collection and Preprocessing Strategies that Guarantee the Confidentiality and Privacy of Medical Information

1.8. Data Visualization and Health Communication

1.8.1. Design of Innovative Visualization Tools in Health Care
1.8.2. Creative Health Communication Strategies
1.8.3. Integration of Interactive Technologies in Health

1.9. Data Security and Governance in the Health Sector

1.9.1. Development of Comprehensive Data Security Strategies to Protect Confidentiality and Privacy in the Health Sector
1.9.2. Implementation of Effective Governance Frameworks to Ensure Responsible and Ethical Data Management in Medical Settings
1.9.3. Design of Policies and Procedures to Ensure the Integrity and Availability of Medical Data, Addressing Health Sector-Specific Challenges

1.10. Practical Applications of Big Data in Healthcare

1.10.1. Development of Specialized Solutions for Managing and Analyzing Large Data Sets in Healthcare Environments
1.10.2. Use of Practical Tools Based on Big Data to Support Clinical Decision Making
1.10.3. Application of Innovative  Big Data Approaches to Address Specific Challenges within the Healthcare Sector

You will be able to access the Virtual Campus at any time and download the contents to consult them whenever you wish”