Data Security and Protection in Health and Social Care
The aim of the study course is to provide knowledge about secure data processing in the field of health and social care. The course covers health and social care organizational architecture, processes and information systems, information security management and personal data processing under GDPR.
Tasks of the study course are:
-
- to create an understanding of the key concepts of information security;
-
- to create an understanding of the enterprise architecture of the typical health and social care organizations: processes, data, information systems;
-
- to introduce students to the principles of secure data handling and create skills of their application in the delivery of health and social care services;
-
- to build skills in identifying information security threats and vulnerabilities in health and social care;
-
- to develop an understanding of the key concepts, processes and regulatory framework for the protection of personal data;
-
- to develop an understanding of information security requirements and standards in health and social care;
-
- to develop skills in defining the necessary security measures to protect personal data (including special categories of data) in the health and social care provider’s IT control environment.
To successfully complete the course the final exam must be passed. To gain access to the final exam, all tests and practical tasks must be competed.
Tests
-
- Minimum score of 80%
-
- 2 attempts
Practical tasks
-
- Assignments must be uploaded to the platform
-
- Graded by the instructor
Final exam
-
- Minimum score of 80%
-
- 2 attempts
Kurss Content
Nodarbība saturs
0% Pabeigts
0/5 Soļi
Nodarbība saturs
0% Pabeigts
0/3 Soļi
Nodarbība saturs
0% Pabeigts
0/5 Soļi
Nodarbība saturs
0% Pabeigts
0/1 Soļi
Par Pasniedzēju
rpirta
2 Kursi
Preview this Kurss
Neesi reģistrējies kursā
Bezmaksas
Kurss Includes
- 6 Nodarbības
- 19 Topics
- 13 Testi
Visi kursi
Data Security and Protection in Health and Social Care
Kiberdrošības pamati un labās prakses organizācijām
Dabas ūdens apstrāde
Artifficial Intelligence Driven Process Control Systems
Skaitliskās metodes
Procesu automatizācija un modelēšana
Paralēlā programmēšana transporta sistēmās
Software Automation in Healthcare
Mašīnu elementu parametriskā modelēšana (SOLIDWORKS ievadkurss dizaineriem)
Business Analytics
Vibrotechnology and Vibromachines
Elektroinženieru matemātikas datorrealizācija
Teorētiskā mehānika (mašīnzinībās)
Siltuma elektrostacijas
Inženieraprēķinu programmatūras mašīnbūvē (CAE)
Būvmehānika
Ķīmiskie reaktori un reakciju inženierija
Monte Carlo Methods in Finance Engineering
Fundamentals of Computer Simulation and Modelling
Starptautisko pārvadājumu vadīšana
Maritime Cybersecurity Management course
AI Implementation in Industry
Innovation Ecosystems Development and Management
Healthcare Data Processing and Management
Basics of Control Theory (Regulēšanas teorijas pamati)
Paralēlā programmēšana datorgrafikā un attēlu apstrādē
Paralēlā programmēšana transporta sistēmās
Public eServices
Informācijas sistēmu pārvaldība
Design of Adaptive Systems
Business Process Development and Management
Innovation Ecosystems: A Three-Part Learning Journey
Ekonomisko procesu prognozēšana
Robotics and Process Automation
Career Lab: Plan, Practice, Succeed
Data Spaces
Production Digitalization – Short Course Series
Practical Applications and Programming of Industrial Robots
Machine Translation Skillset
Machine Learning for Textual Data Processing
Digital Edutainment Elements in Translation
Digital Sentiment Analysis
Multimodal Digital Semiotics
Digital Semantics and Pragmatics
Grafiskais dizains "Canva pro" dizaina programmā
Arhitektūras projektēšana
Biznesa etiķete un komunikācija
Introduction to Linguistics
Artificial Intelligence: Search and Its Applications
Telecommunications and Computer Networks
Kursa pārskats
Autorizācija
Lai piekļūtu šim kurss, nepieciešams pierakstīties Lūdzu, autorizēties!