Course syllabus

Course syllabus

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🏁 Learning objectives

W1: Introduction → click for module

  • Understand the course-level learning objectives
  • Understand the course setup (self study, guest lectures, assignments and examination)
  • Understand the role of the book
  • Understand the role of the tools involved (Mendix)
  • Understand the role of the responsible teacher, and the teaching and student assistants
  • Hands-on skills with Mendix data modeler and form designer

 

W2: Clinical research → click for module

  • Understand the setup of a typical clinical study
  • Know the learnings and open issues of a concrete study
  • Understand in detail the specifics of a concrete study
  • Understand the architecture of a patient-/consumer-centric health information system 
  • Master design skills for a configurable health information system
  • Know the history of interoperability approaches
  • Master practical interoperability techniques (Mendix, JSON, OAuth)
  • Understand the concrete input and output of Health applications such as Google Fit
  • Understand requirements for fine-grained access control rules in a healthcare and social media setting
  • Know terminology specific to patient portals and PHRs (e.g., Passive Information Access vs Active Information Access)

 

W3: Telehealth & health promotion → click for module

  • Know the nature and user types for different kindsof Telehealth (POTS, message-based, portal, remote monitoring, teleradiology, tele-ICU, remote patient rounds, ...)
  • Know the key scientists from sociology and psychology in relation to patient engagement
  • Know key definitions (e.g., for PHRs)
  • Understand how big EHR vendors have slowed down PHR adoption historically
  • Know how Mandl and Kohane advocated for PHR app stores (cf., www.smartplatforms. org) and understand how that relates to this course's Assignment 1.
  • Understand the need for external rewards and social networking mechanisms
  • Understand how information is structured inside a patient-centered health information system
  • Master design skills for prototyping a health information system that respects values such as privacy

 

W4: Standards → click for module

  • Understand the role of standards in connected healthcare information systems
  • Reason critically about the need for more standards, especially at the national level
  • Understand what is the role of coding systems
  • Understand how European Health Data Infrastructure is being improved
  • Know the history of international health information standards and coding systems from the last decades
  • Know how standard information sets are used in specific systems (e.g., for CDS)

 

W5: Data warehousing → click for module

  • Understand the complex system architectures that are prevalent within and across health organizations
  • Know what data warehousing is, and how it is used in practice
  • Understand the meaning and context of terms like DRGs, DBCs, MedMij, PHRs, PGOs, the VIPP subsedy, HL7, FHIR, and ICHOM,
  • Understand various ways to quantify the predictive value of clinical tests and machine learning models.

 

W6: Ethics → click for module

  • Know the relevant bodies governing ethics in a healthcare setting
  • Know the key principles and bodies relevant to healthcare ethics
  • Know European laws such as GDPR and MDR
  • Know the international context of healthcare ethics
  • Understand what needs to be done before starting a research project in healthcare

 

W7: Health tech industry → click for module

  • Know the various types of imaging modalities from the healthcare domain
  • Understand the various levels of support needed when working with medical images (including but not limited to an IGT context)
  • Know the size and structure of a global health tech company
  • Know the societal challenges related to healthcare
  • Understand how industry trends relate to those challenges
  • Know concepts like the health continuum, care pathways and the quadruple aim
  • Understand how business process management concepts are relevant to healthcare
  • Manage BPMN modeling skills in the context of clinical pathways
  • Understand when CMMN or 3D simulation models may supplement BPMN
  • Understand how KPIs and dashboards support healthcare operations 
  • Know healthcare process improvement techniques such as RePro
  • Know roughly the utilization rate of resources in a typical Dutch academic hospital
  • Understand how process mining techniques are relevant to healthcare operations management

 

W8: Health insurance → click for module

  • Health Payments in The Netherlands: know who covers how much (roughly)
  • Know the evolution of healthcare expenses across one's lifetime
  • Know the distribution of expenses across the care chain
  • Understand how solidarity is safeguarded even in an open market
  • Know the meaning of terms like DBCs, DOTs and DRGs
  • Know the role of software systems related to DBCs
  • Understand threats related to DBC "datification", know terms such as upcoding

 

W9: Text mining in healthcare → click for module

  • Understand the challenges of unstructured data
  • Know the overall architecture of text mining pipelines
  • Know relevant concepts such as thesauri
  • Know relevant applications of text mining data from electronic health records
  • Know about social media mining in a healthcare context

🔍 Attitude to master this course

  • Participate actively in the lectures and grasp what you are taught;
  • Use the Canvas Forum early on to discuss with peers and deepen your understanding (we will intervene when appropriate).
  • Practice the formative exercises (do not just copy the answers from lecturers/peers);
  • Visit the instruction / Q&A hours and come prepared;
  • Read the book with an open mindset, to broaden your knowledge of the field

⛔ Academic fraud

It is strongly prohibited to commit fraud. With any suspicion of fraudulent behavior, the exam committee will be contacted to decide whether or not fraud occurred. Fraud includes any behavior or negligence on part of the student that makes it impossible for an examiner to form a correct judgment of his or her knowledge, insight and skills, or that is aimed at intentionally manipulating the examination process.

Types of fraud:

  • Exam fraud
    Having a mobile telephone and/or any other communication, storage and/or display devices on your desk or on your person;
    Using or attempting to use unauthorized recourses and aids such as smartphones, smartwatches, and tablets, including materials other than listed on the front page of the exam (i.e. a calculator or book in case of an open book exam).
  • Plagiarism
    In the assignment, plagiarism can be committed when copied material, not written by the responsible students, is integrated into the report
  • Scientific fraud
    Fabricating or improvising data

Consequences

When a suspicion of fraud is raised during or after exams or projects, the student receives no grade (yet), and the case is handed over to the exam committee.

The default penalty for the first time offenders is: 

  • The student fails on the entire course (even when plagiarism occurred in a small intermediate assignment)
  • The student is excluded from taking the exams of that course for one year.
  • The misconduct will be entered into the student's file
  • The student is no longer eligible for a judicial when graduating (met hoge waardering / cum laude)

The maximum penalty (e.g., for a recidivist)

  • Student's education at TU/e will be terminated

Detailed information on academic fraud can be found in the Exam Regulations IE&IS.

💭 Course evaluation

Feedback is highly appreciated. Please fill in the course evaluation at the end of the quartile, so we can further improve this course.

Students from previous editions have applauded the following strengths
1. Many students appreciate the real-life aspect of working with guest lectures.
2. Various students appreciate studying the topic via the classical textbook.

We have improved the course based on the following suggestions:

Improvements points for this course Reflection and/or what was done
1. Some students did expect that we provide some classical lectures of our own (beyond the ones we already provided in the context of the course and assignment kick-off, Q&A, …). We understand the request. From 2021 onwards, we provide some lectures by ourselves instead of relying 100% on guest lectures
2. We should monitor that our student/teaching assistants provide timely replies on Canvas Stricter agreements are made with course assistants. Students are encouraged to escalate when appropriate.
3. We were encouraged to revisit the relevance of the book (or some chapters of it) From 2021 onwards, we put less emphasis on the book, considering that overall the volume of the study materials is pretty large already.
4. A bottleneck was the high pressure on the teaching staff (many assignments/tests to grade, many Q&A sessions) (a) We will simplify the feedback process by streamlining the Rubrics used for the assessment; (b) we have re-organized the assignment weights, and we have reduced the number of Q&As based on their actual use in 2020.
5. Lecturers also felt that interoperability was covered too theoretically. From 2021 onwards, one of the assignments will address interoperability from a very practical point of view. Also, additional tutorials are provided to prepare students well for that new assignment.