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Summer School in Health Management

Study Course Description

Course Description Statuss:Approved
Course Description Version:5.00
Study Course Accepted:27.09.2024 08:55:51
Study Course Information
Course Code:VVDG_036LQF level:Level 7
Credit Points:4.00ECTS:6.00
Branch of Science:Management; Business ManagementTarget Audience:Management Science; Health Management
Study Course Supervisor
Course Supervisor:Olav Goetz
Study Course Implementer
Structural Unit:Faculty of Social Sciences
The Head of Structural Unit:
Contacts:Dzirciema street 16, Rīga, szfatrsu[pnkts]lv
Study Course Planning
Full-Time - Semester No.1
Lectures (count)6Lecture Length (academic hours)2Total Contact Hours of Lectures12
Classes (count)14Class Length (academic hours)2Total Contact Hours of Classes28
Total Contact Hours40
Study course description
Preliminary Knowledge:
The summer school is implemented in the 2nd semester of the 1st study year.
Objective:
The summer school is implemented as a study practice and its purpose is to combine students' theoretic knowledge with the study of specific health cases or digitization using data analytical methods.
Topic Layout (Full-Time)
No.TopicType of ImplementationNumberVenue
1Theoretical aspects of Process Management, Data Analysis, Modelling and Simulation in health careLectures2.00auditorium
2Data anlysis methodsLectures4.00auditorium
Classes4.00auditorium
3Analytical group workClasses8.00auditorium
4Presentation of group workClasses2.00auditorium
Assessment
Unaided Work:
During the summer school, students get acquainted with the analytical methods of health management and digital health, perform a specific case analysis and present the results of the group's work to a wider audience. In order to evaluate the quality of the study course as a whole, the student must fill out the study course evaluation questionnaire on the Student Portal.
Assessment Criteria:
The evaluation of the group's work consists of: Content of the analytical work (50%) Presentation in power point format according to the previously specified content (25%); Argumentation and presentation (25%).
Final Examination (Full-Time):Exam
Final Examination (Part-Time):
Learning Outcomes
Knowledge:The student acquires knowledge: • confirmation of theoretical knowledge in the relevant healthcare field or digitization; • selection of analytical methods for the analysis of a specific case; • practical skills in case analysis.
Skills:The student acquires skills: • in the application of theoretical knowledge in the analysis of a specific case; • in the selection and application of appropriate analytical tools and analysis methods for the case study; • in organizing and implementing group work.
Competencies:The student acquires competence: • practical skills in health case analysis or digital transformation; • in justifying, arguing and presenting the results of analytical work.
Bibliography
No.Reference
Required Reading
1Roosan D, Law AV, Karim M, Roosan M. (2019). Improving Team-Based Decision Making Using Data Analytics and Informatics: Protocol for a Collaborative Decision Support Design. JMIR Res Protoc.
2Flessa, et al. (2013). Resent Research on Health Care Management
3Harrel, Lange. (2001). Healthcare Simulation Modelling and Optimization using MedModel. (akceptējams izdevums)
4Nkwanyana A, Mathews V, Zachary I, Bhayani V. (2023). Skills and competencies in health data analytics for health professionals: a scoping review protocol. BMJ Open. Nov 21;13(11)
Additional Reading
1Managing change in the NHS The NHS Service Delivery and Organisation. (2001)
2European Health Management Association (EHMA)
Other Information Sources
1Digital transformation in health care (EIT Health)