Course syllabus

Course-PM

EEN210 Applied digital health lp3 VT24 (7.5 hp)

Course is offered by the department of Electrical Engineering

Contact details

• Examiner:
  • Stefan Candefjord, stefan.candefjord@chalmers.se , 031-772 1549
• Teaching Assistants / Supervisors:
  • Mattias Seth, mattias.seth@chalmers.se , 073-972 85 29
  • Javad Aliakbari, javada@chalmers.se , 076-644 78 27
  • Eunji Lee, eunji@chalmers.se , 076-250 74 17

Course purpose

The overall aim of the course is to provide healthcare providers and healthcare related industry with people having skills and prerequisites to design and implement Digital Health solutions, inside as well as outside the hospital environment. A specific purpose is to train the ability to design an effective system based on international standards for healthcare data exchange for a specific health issue, that meets the requirements of patients, caregivers and authorities.

Schedule

TimeEdit

Course literature

Lecture notes, hand-outs/distributed material and recommended articles, reports and other sources, are the sources that are used. All literature will be provided via the course homepage.

Course design

The course contains of a lecture series with invited expert speakers from industry, academia and other healthcare related stakeholders, and a project work, which together cover the following topics:

• State-of-the-art technologies for digital health, examples of commercially available devices and a future outlook on emerging technologies
• Interoperability and standards for exchanging, analyzing and interpretating healthcare data, an overview of widespread and recommended technologies
• Design of Computerized Clinical Decision Support Systems (CCDSS) tools
• Healthcare organization, legislation, clinical, patient and ethical perspectives
• Data fusion - how data of different types from different sensors can be combined to design more effective services

Learning objectives and syllabus

Learning objectives:

1. Describe the state-of-the-art, possibilities and challenges of Digital Health systems, and its impact on the society as a whole.
2. Apply the concept of data fusion for increased effectiveness of Computerized Clinical Decision Support Systems (CCDSS)
3. Describe the importance of ethical considerations, legislation and patient integrity when designing and implementing Digital Health solutions.
4. Implement some existing international standards applicable to Digital Health in a CCDSS solution, and explain the needs for standardization and interfacing between various systems.
5. Design a CCDSS for a relevant health issue and identify the procedures and challenges of implementing such a system in a healthcare environment. The CCDSS should be demonstrated and described in a technical report.

Link to the syllabus on Studieportalen.

Study plan

Examination form

Examination of the lecture series is done through an oral exam (Pass/Fail). The project work is assessed based on the demonstration of the CCDSS and the written technical report (grading TH - Pass with distinction (5), Pass with credit (4), Pass (3), Fail). To pass the course passing the oral exam and approved group project are required, when this is fulfilled the course grade will be equal to the project grade.

Project assessment report

The project group's CCDSS should be presented, demonstrated and discussed during a conference in the final week of the course. A conference programme with detailed instructions will be presented before the conference.

The CCDSS should be further described in full detail in a technical report. If the project group want the report could be in the form mimicking a scientific article, a template in LaTeX will be provided for this purpose.