Digital Skills
Introduction to the BeWell competence matrix and submatrices on digital skills and competences
This document aims to respond to what was formulated in the BeWell application with the establishment of a common methodology for the design of qualifications and their corresponding recognition of non-formally and informally acquired competences as prior learning (VNIL/RPL). It is developed in accordance with the principles of the European Qualifications Framework (EQF), and operationalised through the specifications of the European Credit system for Vocational Education and Training (ECVET).
BeWell Digital competence matrix
Aggregated Units of Learning Outcomes
- BeWell – U1: Information and data literacy
- BeWell – U2: Digital teambuilding and communication
- BeWell – U3: Digital tools, content creation and copyright
- BeWell – U4: Safety and cybersecurity
- BeWell – U5: Digital problem solving
Big Data & Analytics
Big Data & Analytics encompasses clinical databases, programming language (SQR), relational databases, and clinical data processing (statistical analysis and machine learning).
Cybersecurity for Healthcare Staff
The healthcare industry faces many cyber threats, potentially jeopardising patient confidentiality, data integrity and availability. These concepts form the backbone of cybersecurity in healthcare. Breaches not only disrupt services but can lead to severe consequences for both patients and healthcare facilities, from identity theft to significant financial and reputational damages. By understanding and rigorously implementing cybersecurity measures, healthcare professionals uphold their ethical duty to safeguard patient data, fostering trust and ensuring quality care.
Digital problem solving
Digital Problem solving encompasses problem-solving methodology implemented with digital technologies:
– how to analyse, understand and overcome a given problem.
– tools to investigate the needs of the stakeholders.
– how to apply the design thinking to develop an effective solution for the given problem.
– how to efficiently manage limited time and resources in a team and how to cooperate asynchronously.
Digital Skills for frontline nurses and allied healthcare professionals (HCP)
The course aims to provide an introduction to the EU policy context on the digitalisation healthcare system, what digitalisation encompasses, and delve deeper into digital health for nurses and what it represents for frontline healthcare professionals. It aims to offer an overview on the collaboration, training, and Student Education to digitalise the healthcare ecosystems in the EU, including empowering citizens/patients and healthcare professionals, as well as on the digital health coach, Resilience and crisis management, and explore quality assurance in the context of digital health nursing and examine its impact on the healthcare. It will address wider advocacy, cooperation, and communication concerning digital health.
The objective of this course is to help the learner (nurses, students, allied healthcare professionals, etc.) understand the relevance on the digitalisation healthcare systems in EU, providing an overview on the digital health for nurses. It will equip the learner to assess and assure the quality of digital health nursing while receiving examples on the digitalisation healthcare systems in the EU, next to learning how to empower both patients and fellow healthcare professionals.
Healthcare data protection management (GDPR)
Health data protection management refers to the processes, policies, and procedures implemented to safeguard sensitive health information from unauthorised access, use, disclosure, and destruction. Health data includes a wide range of information such as medical history, diagnoses, treatments, prescriptions, and test results.
The General Data Protection European Regulation (GDPR 2016/679) is a set of guidelines and regulations governing the processing and handling of personal data related to health. It is an EU-wide privacy law (May 2018) that sets rules for collecting, using, and storing personal data, including health data. Under the GDPR, health data is considered a special category of personal data (medical records, test results and diagnoses).
Healthcare ICT
Healthcare ICT concerns the digitization of healthcare data. A greater and more seamless flow of information within a digital healthcare infrastructure, created by electronic health records (EHRs), encompasses and leverages digital progress and can transform the way care is delivered and compensated. It will be important to understand the architecture of the systems in use and how the flow of data is expected from diagnosis to storage and consultation. It also encompasses the management of clinical data using RIS/PACS systems (e.g. diagnostic images).
Office and/or Google suite knowledge
The objectives are
- To Increase the knowledge of Microsoft Office and Google Suite packages among health care workers
- To empower healthcare workers to use these tools in their daily activities, through several modules with practical examples
PACS, e-file, RIS
Application of electronic health records to improve medical care, healthcare services, health promotion and to empower people in knowing and managing their own health.
Telehealth
Telehealth is the distribution of health-related services and information via electronic information and telecommunication technologies. As well as an understanding of the main characteristics and requirements for implementing telemedicine services in a hospital setting.
Telemedicine
Telemedicine is the use of video for patient treatment and follow-ups, in healthcare.
