Practical course

AI and Health

Strategic Introduction to the Application of Artificial Intelligence in Hospital Management

Double degree:

+

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Why this course?

In the dynamic and evolving healthcare landscape, the incorporation of Artificial Intelligence (AI) emerges as a key tool for transforming and optimizing hospital management. This course is designed to provide health professionals linked to hospital management with an understanding of how AI can be strategically applied to improve efficiency, clinical decision-making and quality of care.

Objectives

Train participants in “Strategic Introduction to the Application of Artificial Intelligence in Hospital Management” to understand, lead and strategically apply solutions based on Artificial Intelligence in the hospital environment. The course aims to provide health professionals with responsibilities for managing health organizations with the theoretical and practical knowledge necessary to identify opportunities, overcome challenges, and lead the ethical and efficient implementation of Artificial Intelligence, thus improving efficiency, quality and decision-making in management.

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About the program

In the dynamic and evolving healthcare landscape, the incorporation of Artificial Intelligence (AI) emerges as a key tool for transforming and optimizing hospital management. This course is designed to provide health professionals linked to hospital management with an understanding of how AI can be strategically applied to improve efficiency, clinical decision-making and quality of care.

In a context where technology and medicine converge, we will explore not only the theoretical foundations of AI, but also its practical application in hospital management through visits to companies linked to this topic in the health area. From identifying specific opportunities and challenges in healthcare to implementing and evaluating innovative solutions, this course will provide the tools needed to effectively lead AI initiatives.

Through specialized modules, we will address key issues such as data and privacy management, impact and performance evaluation, and the implementation of solutions in hospital environments. Upon completion, participants will be equipped with the strategic vision and practical skills necessary to lead the successful integration of AI into hospital management, always maintaining a focus focused on ethics and continuous improvement.

It will be an educational journey that will not only illuminate the complexities of AI in the health field, but will also empower attendees to lead change and innovation in their own medical institutions.

The program consists of 40 teaching hours, of which 16 hours will be spent visiting companies related to the health sector and carrying out AI initiatives. There will also be a complementary program that will consist of a visit to the Santiago Bernabeu stadium and a gala dinner at the Real Madrid restaurant.

Contents

FOUNDATIONS OF ARTIFICIAL INTELLIGENCE

Definition and basic concepts of AI.
Types of machine learning and how they are applied in the field of health.
Relevant use cases in hospital management.

MANAGEMENT IN THE IMPLEMENTATION OF AI SOLUTIONS IN HEALTH ENVIRONMENTS

Strategic planning for the implementation of AI technologies.
Assessment of needs and resources for the adoption of AI solutions
Ethical and regulatory considerations in implementation.

CHALLENGES AND OPPORTUNITIES (MARKET TRENDS)

Identifying common challenges in hospital management
Exploring opportunities for the application of AI in strategic decision-making.
Study of successful cases in other hospitals.

DATA MANAGEMENT AND PRIVACY

Principles of data management in healthcare environments.
Strategies to ensure the privacy and security of patient data.
Regulatory compliance and specific regulations: references at the international level. Ethics in the use of data.

EVALUATION OF THE IMPACT AND PERFORMANCE OF AI IN HEALTH

Exploration of the metrics and criteria used to evaluate the impact of AI solutions in the field of health.
Key indicators related to operational efficiency, improved quality of care, clinical decision-making, and patient experience.
Understanding of performance optimization strategies applicable to artificial intelligence models and algorithms used in hospital management.

DISRUPTIVE TECHNOLOGIES FOR PERSONALIZED MEDICINE

Secure federated training of AI models.
Predictive assessment of hospital emergencies based on external agents.
Search for symptoms for the early detection of rare diseases.
Anonymization of unstructured data (Clinical Reports) using AI for research.

Ideal for...

Professionals with decision-making responsibilities for health or related organizations.

Duration

40 hours

10 hours

Face-to-face

Date

April 1-5

Schedule

Monday

9:00-13:00 and 15:00-19:00

Tuesday-Friday

9:00-13:00
Afternoon (Visits to companies)

Price

2,500€

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A first-line cloister

Meet the teachers who will accompany you in this course

Enrique Serrano

Founding Partner of MBIT DATA School. General Director of Tinámica

Tinámica | MBIT DATA School

Juan Manuel Molina

CEO

Talentua | Empowering Business

Luis García Ordoñez

Senior Manager. Insurance consulting

Deloitte

Javier Pérez García

Head of Cybersecurity

Fujitsu Spain

Miguel Ángel Montero

Head of Digital Health

INETUM

Carlos Royo Sánchez

Director de Estrategia de Salud

GMV

More info

16 hours will be spent visiting companies related to the health sector and are carrying out AI initiatives. There will also be a complementary program that will consist of a visit to the Santiago Bernabeu stadium and a gala dinner at the Real Madrid restaurant.

¿Qué te llevas?

3

días de networking intensivo con profesionales de

∞

acceso de por vida a todas las clases grabadas

30+

prompts específicos para aplicar en

4000

expertos en datos te esperan en nuestra comunidad de alto nivel

Credencial profesional de IA en tu área.

It will be an educational journey that will not only illuminate the complexities of AI in the health field, but will also empower attendees to lead change and innovation in their own medical institutions.

Learn in a practical way

Right from the start, you'll have your hands in the dough. At the end of the course you will be able to quickly apply what you have learned in your workplace.

Apply generative AI

Use tools such as ChatGPT to launch a brand, design websites, generate commercial campaigns and automate customer service.

Use tools such as ChatGPT to create educational material, improve your performance, manage students or automate tasks.

Expert teachers

There are no gurus here, only experts. Learn from professionals who come from the real market and are specialists in the sector.

There are no gurus here, only experts. Learn from industry specialists with extensive teaching experience.

Discover MBIT DATA School

It is the best opportunity to get to know our technical school without the commitment required by a Master or an Expert Program. Don't you know MBIT DATA School?