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n.BA.AD.CDP.24HS (Clinical Data Processing) 
Module: Clinical Data Processing
This information was generated on: 07 November 2025
No.
n.BA.AD.CDP.24HS
Title
Clinical Data Processing
Credits
4

Description

Version: 2.0 start 01 August 2025

 

Study Programme Applied Digital Life Sciences
Regulations Applicable RPO, 29 January 2008, School of Life Sciences and Facility Management Academic Regulations, 15 Dec. 2009, Annex for the Bachelor of Applied Digital Life Sciences degree programme
Module Type  
X Compulsory Module    Elective Module    Optional Module
Planned Semester 5th Semester
Module Coordinator Juchler Norman
Telephone / E-Mail +41 (0)58 934 56 87 / norman.juchler@zhaw.ch
Lecturer(s),
Speaker(s),
Associate(s)
  • Norman Juchler
  • Philipp Ackermann
  • Georg Spinner
Entrance Requirements Datenbanken, Data Engineering, Datenzentriertes Programmieren
Learning Outcomes and Competencies Technical skills:
Students will be able to
  • describe the main sources of health data
  • provide an overview of the most important technologies in this context
  • name and use medical data formats and clinical information systems
  • to name the legal and organizational foundations of the Swiss healthcare system
  • implement data protection guidelines for health data
Transferable skills:
Students will be able to
  • implement health apps
  • support digitization initiatives in the health sector 
  • collaborate with other students to develop a complex technical solution
Module Content
  • The IT landscape of a hospital
  • The electronic patient record
  • Smart management of medical devices and resources
  • Ontologies and nomenclature systems
  • Medical data formats
  • Medical databases
  • Interfaces
  • Data analysis, knowledge management and decision support systems in medicine
  • Data protection and security, anonymization of data
Follow-up Modules Bachelor  thesis
Methods of Instruction  Lecture and project work
Digital Resources Moodle
Lesson Structure / Workload  
 Contact Hours 56
 Guided Self-Study 28
 Independent Self-Study 36
 Total Workload 120
Classroom Attendance Attendance is strongly encouraged, but not enforced with attendance list
Assessment
  • Written exam at the end of the semester (60%)
  • Performance grade (40%)
If there is a low number of participants, the lecturer may change the form of a repeat examination after consultation with the head of the study programme: e.g. an oral examination can be used to replace a written one. Please report any changes to the form of examinations by e-mail to pruefungsadmin.lsfm@zhaw.ch and Cc. Head of study programme.
Language of Instruction  English
Comments -

 

Note

Course: Clinical Data Processing
No.
n.BA.AD.CDP.24HS.V
Title
Clinical Data Processing

Note

  • No module description is available in the system for the cut-off date of 07 November 2025.