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Online Course in Digital Transformation for Health Professionals

A training programme for healthcare professionals to remove limits and reduce costs in innovation using Artificial Intelligence, enhancing the use of data, and analyzing clinical processes.

Developed in collaboration with the Fraunhofer-Gesellschaft and TheHill Oxford within the EIT Health Campus project “Future Digital skills
for Health Professionals”.

There are two learning path to follow: 3 ECTS (Four modules) and Professional Certificate (Individual modules)

3 ECTS*
(Program of 4 modules)

When
How
Certification
Cost

Modules

Essential Skills for Innovative Healthcare
Machine Learning for Precision Medicine
Usability and User Experience (UX)
Health Economics

* You will have to present the bachelor’s title and academic transcript with an official translation in Spanish or English. Documents issued from non european institutions should have the Spanish Apostille.

Professional Certificate
(Separate modules)

Modules

Essential Skills for Innovative Healthcare
Leading the Healthcare Transformation
Smart Devices
Security of Computerized Systems
Usability and User Experience (UX)
Machine Learning for Precision Medicine
Integrated Healthcare
Health Economics

Overview

Digital innovations are revolutionising healthcare. The future of healthcare lies in working hand-in-hand with technology and healthcare professionals have to embrace emerging medical technologies in order to face the challenges efficiently in the coming years.

Driving innovations in healthcare will allow clinicians to allocate more time on patient treatment and improve significantly outcomes of healthcare systems.

From clinicians to hospital managers, healthcare professionals need to be able to innovate, adapt and engage with new technologies and the changing pace of medicine. Our postgraduate medical training enables you to lead projects and apply digital technologies in the health and care sectors.

In this online postgraduate healthcare course, through real clinical use cases, you will learn the basis for creating and managing clinical digital content and its use with privacy requirements, clinical solutions using Artificial Intelligence to diagnose and support decisions, the tools to develop and evaluate clinical digital designs, and how to make the economic analysis of clinical processes.

There are two learning path to follow: 

  • Postgraduate 3 ECTS  (Four modules)
  • Professional Certificate (Separate modules)

 

This post graduate diploma in medicine is organized in 8 modules:

  • Essential Skills for Innovative Healthcare
  • Leading the Healthcare Transformation
  • Smart Devices for Healthcare Professionals
  • Security of Computerized Systems in Healthcare
  • Usability and User Experience (UX) of Medical Devices
  • Machine Learning for Precision Medicine
  • Integrated Healthcare
  • Health Economics

This postgraduate medical diploma is funded by EIT Health, a network of best-in-class health innovators backed by the European Union. The content has been developed by three partner organizations: Universitat de Barcelona, listed as the best university in Spain in the QS World University Rankings of 2021; Fraunhofer-Gesellschaft, Europe’s leading application-oriented research organization and TheHill, the digital innovation team of Oxford University Hospitals NHS Trust, one of the UK’s largest teaching hospitals and one of the largest hospitals in Europe.

This postgraduate health course is offered at a very competitive price since it is partially funded by EIT Health. Take advantage of this unique opportunity.

Programme

Digital technologies have a significant impact on the healthcare system. Active involvement of healthcare professionals is of high relevance in order to effectively use the emerging opportunities these technologies offer in healthcare. This requires essential digital knowledge and skills, facilitating demand-oriented and patient-centred care, supporting communication in the changing doctor-patient-relationship, enabling interdisciplinary collaboration and improved hospital routines and facilitating deliberate professional self-development by successfully applying digital health technologies.

  • Location: Online synchronous and asynchronous
  • Language: English
  • Duration: 4 weeks
  • Estimated time effort: 12,5 hours over a four-week period
  • Type of Certificate: Professional certificate or ECTS

A culture of innovation and learning is key to harnessing the opportunities offered by digital transformation in healthcare. This module focuses on the relevance of organisational culture and leadership in the productive and sustainable integration of digital health technologies in hospital practices. It illustrates the role of emotion in this process and discusses the opportunities for agile approaches to healthcare. It provides participants with the principles and tools for driving this organisational transformation.

  • Location: Online synchronous and asynchronous
  • Language: English
  • Duration: 4 weeks
  • Estimated time effort: 12,5 hours over a four-week period
  • Type of Certificate: Professional certificate

Smart devices increasingly work alongside physicians and medical staff to perform repetitive and routine tasks reducing the physical and mental workload for medical personnel. This module provides physicians and hospital managers with an overview of current and future smart devices for hospitals. It discusses possible use cases and challenges participants to think about how and where they could add value in their workplace. The module encourages healthcare professionals to be innovators themselves by giving them the tools required to take the first steps on the path to a successful commercialisation of their ideas.

  • Location: Online synchronous and asynchronous
  • Language: English
  • Duration: 3 weeks
  • Estimated time effort: 12,5 hours over a three-week period
  • Type of Certificate: Professional certificate

Cybersecurity threats exist everywhere, especially in healthcare. The implications of this cannot be overlooked. This module aims to provide healthcare professionals responsible for information-processing systems with increased awareness for identifying and assessing cybersecurity threats alongside knowledge to prevent accidents and actions to take in critical situations. The course addresses technical aspects as well as infrastructural and social dimensions.

  • Location: Online synchronous and asynchronous
  • Language: English
  • Duration: 3 weeks
  • Estimated time effort: 16 hours over a three-week period
  • Type of Certificate: Professional certificate

The value of a medical system for its users (both patients and healthcare professionals) depends largely on the ease of use of the system and its accessibility. Learning the principles of design and evaluation will allow users to judge the quality of medical devices, provide their feedback and contribute to the improvement of such systems.

  • Location: Online synchronous and asynchronous
  • Language: English
  • Duration: 5 weeks
  • Estimated time effort: 20 hours over a five-week period
  • Type of Certificate: Professional certificate or ECTS

Today, hospitals manage a huge amount of clinical data which can be implemented into Machine Learning/Artificial Intelligence tools to perform real digital transformation in healthcare. Teaching machines to learn from data is the key to develop intelligent assistants for many tasks in the clinical institutions. Today, machine learning tools allow us to process large amounts of clinical data and elaborate highly precise diagnostic methods to help experts to get high precision medicine and significantly better care quality.

  • Location: Online synchronous and asynchronous
  • Language: English
  • Duration: 5 weeks
  • Estimated time effort: 20 hours over a five-week period
  • Type of Certificate: Professional certificate or ECTS

Healthcare of a patient involves many stakeholders, who work and live in different places in various circumstances, using a variety of tools, and processing specific parts of the electronic health record. Integrated healthcare allows the development of state of the art eHealth tools, which provide every stakeholder with efficient access to the data required for their work. This ensures personalised care plans for every patient available to all stakeholders, avoiding duplicate examinations and contradictory medications and facilitating optimised cost structures. Integrated healthcare eliminates proprietary data formats that lead to isolated data silos and stand-alone systems. Isolated systems do not extend potential benefits to their users, and cause high deployment and maintenance costs. The module will focus both on clinicians’ requirements such as interoperability and on the importance of patient empowerment in order to improve the entire healthcare journey.

  • Location: Online synchronous and asynchronous
  • Language: English
  • Duration: 4 weeks
  • Estimated time effort: 15 hours over a four-week period
  • Type of Certificate: Professional certificate

Connected health according to eHealth data standards allows the development of state of the art eHealth tools that provide every stakeholder easy access to the data required for his/her work. This ensures personalised care plans for every patient avoiding duplicate examinations, contradictory medications and optimised cost structures. Connected health eliminates proprietary data formats, that lead to isolated data silos and stand alone systems. Isolated systems do not enfold full potential benefits to their users and cause high deployment and maintenance costs.

  • Location: Online synchronous and asynchronous
  • Language: English
  • Duration: 5 weeks
  • Estimated time effort: 20 hours over a five-week period
  • Type of Certificate: Professional certificate or ECTS

3 ECTS (Program of 4 modules)

This learning path is organized in 4 mandatory modules. The 3 ECTS and the UB official certification will only be granted to those students who enroll and complete the 4 modules. 

Requirements:

  • Bachelor’s title 
  • Academic transcript
For foreign students must present both documents with an official translation in English or Spanish. Documents issued from non european institutions should have the Spanish Apostille.

Professional Certificate (Separate modules)

This learning path is organized in 8 independent but complementary modules. You can enroll in your favorite single module, or select those you like the most.

1. Essential skills for innovative healthcare

Developing essential digital skills by means of concrete digital technologies to improve hospital routines and patient care.

  • Costs: 545 €
  • Date: March 08, 2021 – April 02, 2021
  • Organization: University of Barcelona

2. Leading the healthcare transformations

Empowering health professionals to act as multipliers in digital transformation in healthcare through organizational transformation.

  • Costs: 545 €
  • Date: March 08, 2021  –  April 02, 2021
  • Organization: Fraunhofer-Gesellschaft

3. Smart devices for healthcare professionals

The use of Smart Machines offers the oportunity to reduce repetitive tasks and focus more on the patient.

  • Costs: This will be a fee-based module. Updates will be released soon
  • Date: April 12, 2021  –  May 07, 2021
  • Organization: Fraunhofer-Gesellschaft

4. Security of computerized systems in healthcare

We train healthcare professionals, who are responsible for information processing systems, to identify and assess cybersecurity threats and endow them with the knowledge required to prevent accidents and act in critical situations.

  • Costs: This will be a fee-based module. Updates will be released soon
  • Date: April 12, 2021  –  May 07, 2021
  • Organization: Fraunhofer-Gesellschaft

5. Usability and user experience (UX) of medical devices

Training about the principles of user interface design and evaluation in the context of medical devices and eHealth applications to improve their performance, users acceptance and satisfaction.

  • Costs: This will be a fee-based module. Updates will be released soon
  • Date: April 12, 2021  –  May 07, 2021
  • Organization: Fraunhofer-Gesellschaft

6. Machine Learning for precision medicine

Train how machine learning can help to improve diagnosis, learn to assess machine learning tools for clinical care (e.g. computer-aided diagnosis), and streamline administrative processes in hospitals.

  • Costs: This will be a fee-based module. Updates will be released soon
  • Date: March 01, 2021  –  April 02, 2021
  • Organization: Fraunhofer-Gesellschaft

7. Integrated healthcare

Knowledge about eHealth tools used by clinicians to conduct the health care process and the underlying data standards, interoperability, storage and usage is essential for optimizing the health care process of eHealth organisations and for the patients themselves.

  • Costs: This will be a fee-based module. Updates will be released soon
  • Date: April 12, 2021  –  May 07, 2021
  • Organization: Fraunhofer-Gesellschaft

8. Health Economics

Understand why health economics is important, being able to define a problem, understand different types of analysis commission/co-design and interpret the outcome of a health economic evaluation.

  • Costs: This will be a fee-based module. Updates will be released soon
  • Date: May 03, 2021  –  May 28, 2021
  • Organization: Oxford University Hospitals NHS Trust

Faculty

Alexandrina Stoyanova

Associate professor in Economics at the University of Barcelona, researcher at the Center for Economics Analysis and Social Policy, member of Barcelona Economic Analysis Team, EU Commission expert in the evaluation of Horizon 2020 Framework proposals and projects. Her research focuses on health economics, a subject she teaches at post-graduate level.

Petia Radeva

Petia Radeva

Full professor at the Department of Mathematics and Computer Science, Universitat de Barcelona, Senior Researcher at Computer Vision Center (CVC), Head of “Computer Vision and Machine Learning at the University of Barcelona” consolidated research group (www.ub.edu/cvub) SGR 1742, Collaborator of the State Agency of Research (Agencia Estatal de Investigación) area TIC (INF), División de Coordinación, Evaluación y Seguimiento Científico Técnico, November 2019.

Oliver Diaz

Oliver Diaz

Lecturer in Computer Science at the University of Barcelona (Spain). PhD in electronic engineering from the University of Surrey (UK). Postgraduate in medical computing from the University of Alicante (Spain). 10+ years experience as researcher in artificial intelligence applied to medical imaging and medical physics.

Mireia Ribera

Mireia Ribera

Lecturer in Computer Science at the University of Barcelona. PhD in Digital Information from the University of Barcelona. 15+ years experience as researcher in accessibility and user centered design. 5+ years experience in teaching and disseminating Information Visualization.

Jordi Vitria

Jordi Vitria

Full Professor in Computer Science at the University of Barcelona. PhD in Computer Science from the Universitat Autònoma de Barcelona. 25+ years experience as researcher in data science and machine learning.

Antonio Monleon

Antonio Monleon

Lecturer in Statistics, Data-Science and Bioinformatics at the University of Barcelona. PhD in Probability and Statistics from the University of Barcelona (Spain), Master in Applied statistics from the UNED (Spain), postgraduate in Geostatistics and Open-Source Statistical Computing (University of Twente; Netherland) and in Big-Data and Data-Science from the University of Barcelona (Spain) and agricultural engineer. 10+ years experience as researcher in statistics applied to biosciences and clinical research.

Javi Ródenas

Javier Ródenas

Deep Learning researcher and associate professor at the University of Barcelona. Master in Artificial Intelligence from the International University of La Rioja. +2 years of experience in Artificial Intelligence solutions.

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