Veidlapa Nr. M-3 (8)
Study Course Description
Digital Health and Data Management
Course Code
SVI_005
Branch of Science
Other social sciences
ECTS
5.00
Target Audience
Business Management; Communication Science; Health Management; Information and Communication Science; Management Science; Medical Services; Medical Technologies; Political Science; Public Health; Rehabilitation
LQF
Level 7
Study Type And Form
Full-Time
Study Course Implementer
Course Supervisor
Didzis Rūtītis
Structure Unit Manager
Daiga Behmane
Structural Unit
Health Management Teaching Group
Contacts
Dzirciema street 16, Rīga, szf@rsu.lv
About Study Course
Objective
The aim of the study course is to provide knowledge, skills and competences in the generation, accumulation and application of digital health data, for solving complex health sector problems and implementing digital transformation.
Preliminary Knowledge
Basic skills in working with data (searching for information, understanding structured data, data processing with MS Excel). Prior knowledge of basic principles of ICT operation and healthcare system organization is desirable.
Learning Outcomes
Knowledge
1.- Know the generation, standardization, accumulation of digital health data and know their application in various processes in the health field. - Know the information systems that collect and analyze health data and the goals and tasks, functions and limitations of their use, which are more often used in the field of health. - Identify, name and provide an overview of the most commonly used standards in the field of digital health. - When describing various telemedicine services, know their role and the opportunities provided in improving the accessibility of health processes. - Name and explain challenges related to data security and privacy of digital health tools, find and interpret regulatory requirements.
Skills
1.- To justify the application possibilities of various digital health tools for the digitization of healthcare. - Know the functionality of different digital health information systems (EMR, EHR, PHR and disease registries) and explain the essential differences, argue the suitability of each system for specific tasks; justify the essential differences and functionality of different digital health information systems: EMR, EHR, PHR and disease registries. - Distinguish between different types of telemedicine services, evaluate and analyze the possibilities of their use in improving certain processes in the health field, promoting the availability of services, debate about the possibilities of using different services, their strengths and weaknesses. - Classify various data coding and processing standards used in the field of digital health, implement the use of certain standards for a selected digital health tool or information system. - Evaluate data security and privacy challenges related to the chosen digital solution, identify and justify the chosen risk mitigation measures.
Competences
1.- Manage digital health data and information systems that accumulate and analyze health data used in the field of health, including high-level data computing, for the implementation of digital transformation. - Manage data coding and processing standards used in the field of digital health, justify the use of certain standards for a selected digital health tool, information system or analytics approach. - Know telemedicine solutions for the implementation of health industry interoperability, data generation and integration processes. - Implement personal data and privacy protection solutions, identify and eliminate risks related to health data protection.
Assessment
Individual work
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Title
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% from total grade
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Grade
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1.
Individual work |
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1) Learning the materials posted in e-studies (video lectures, articles, publications, databases).
2) Submission of self-test tasks.
3) Development of independent work: propose a solution to a specific problem in the field of health using digital health data, describe the challenges of data security and digital processing related to their use and their possible solutions.
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.
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Examination
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Title
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% from total grade
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Grade
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1.
Examination |
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2.
Examination |
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10 points
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The evaluation of the study course consists of the cumulative evaluation of the study work (50%) and the evaluation of the final exam test (50%), which includes optional questions from each of the course topics. The tasks and test will be evaluated on a scale of 10 points. To successfully complete the course, the student needs to receive at least 4 points out of 10. |
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Study Course Theme Plan
FULL-TIME
Part 1
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Lecture
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Modality
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Location
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Contact hours
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On site
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Auditorium
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2
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Topics
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Intro on digital health and digital transformation governance
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Class/Seminar
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Modality
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Location
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Contact hours
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On site
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Auditorium
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2
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Topics
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Intro on digital health and digital transformation governance
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Lecture
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Modality
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Location
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Contact hours
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On site
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Auditorium
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2
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Topics
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Types, classification and standardization of digital health data
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Class/Seminar
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Modality
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Location
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Contact hours
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On site
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Auditorium
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2
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Topics
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Types, classification and standardization of digital health data
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Class/Seminar
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Modality
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Location
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Contact hours
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On site
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Auditorium
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2
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Topics
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Types, classification and standardization of digital health data
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Lecture
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Modality
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Location
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Contact hours
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On site
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Auditorium
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2
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Topics
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Digital health information systems - EMR, EHR, PHR, disease registries, data and data exchange standards
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Lecture
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Modality
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Location
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Contact hours
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On site
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Auditorium
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2
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Topics
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Digital health information systems - EMR, EHR, PHR, disease registries, data and data exchange standards
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Class/Seminar
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Modality
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Location
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Contact hours
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On site
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Auditorium
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2
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Topics
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Digital health information systems - EMR, EHR, PHR, disease registries, data and data exchange standards
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Class/Seminar
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Modality
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Location
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Contact hours
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On site
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Auditorium
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2
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Topics
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Digital health information systems - EMR, EHR, PHR, disease registries, data and data exchange standards
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Lecture
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Modality
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Location
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Contact hours
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On site
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Auditorium
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2
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Topics
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Digital health technologies, telemedicine services
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Lecture
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Modality
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Location
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Contact hours
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On site
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Auditorium
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2
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Topics
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Digital health technologies, telemedicine services
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Modality
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Contact hours
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On site
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Auditorium
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2
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Topics
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Digital health technologies, telemedicine services
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Contact hours
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On site
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Auditorium
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2
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Topics
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Digital health technologies, telemedicine services
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Lecture
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Modality
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Location
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Contact hours
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On site
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Auditorium
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2
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Topics
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Data security and digital risks
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Class/Seminar
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Modality
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Location
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Contact hours
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On site
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Auditorium
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2
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Topics
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Data security and digital risks
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Modality
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Location
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On site
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Auditorium
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2
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Topics
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Data security and digital risks
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Lecture
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Modality
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Location
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Contact hours
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On site
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Auditorium
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2
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Topics
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Data security, privacy and related legal challenges
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Modality
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Location
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Contact hours
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On site
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Auditorium
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2
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Topics
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Data security, privacy and related legal challenges
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Class/Seminar
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Modality
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Location
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Contact hours
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On site
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Auditorium
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2
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Topics
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Data security, privacy and related legal challenges
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Contact hours
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On site
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Auditorium
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2
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Topics
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Final test
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Total ECTS (Creditpoints):
5.00
Contact hours:
40 Academic Hours
Final Examination:
Exam
Bibliography
Required Reading
1.
Pettey C. (2019, March 8). Why data and analytics are key to digital transformation. Gartner.Suitable for English stream
2.
Glaser, J., & Shaw, S. (2022). Digital transformation success: What can health care providers learn from other industries. NEJM Catalyst.Suitable for English stream
3.
Tabrizi, B., Lam, E., Girard, K., & Irvin, V. (2019). Digital transformation is not about technology. Harvard Business Review.Suitable for English stream
4.
Solomon, M., & Rolle, T. L. (2020). Four factors driving the momentum of telehealth adoption that will continue after the COVID-19 crisis. Point of Care Partners.Suitable for English stream
5.
Siwicki, B. (2021). Interoperability: Where it’s headed, and where IT leaders will be investing. Healthcare ITNews.Suitable for English stream
6.
Farnham, K. (2021). Why good governance is the secret of success in digital transformation. Diligent.Suitable for English stream
7.
Obwegeser, N., Yokoi, T., Wade, M., & Voskes, T. (2020). 7 key principles to govern digital initiatives. MIT Sloan Management Review.Suitable for English stream
Additional Reading
1.
Finelli, L. A., & Narasimhan, V. (2020). Leading a digital transformation in the pharmaceutical industry: Reimagining the way we work in global drug development. Clinical Pharmacology and Therapeutics, 108(4), 756–761.Suitable for English stream
2.
Glaser, J. (2019). How To Ensure Your Health Care Innovation Doesn’t Flop. Harvard Business Review.Suitable for English stream
3.
Gupta, D. (2022). How is technology impacting home healthcare? Appinventiv.Suitable for English stream
Other Information Sources
1.
Kwo, L. (2021). Contributed: Top 10 use cases for AI in healthcare. Mobihealthnews.Suitable for English stream
2.
Kimberling, E. (2021). Top 10 Digital Transformation Failures of All Time, Selected by an ERP Expert Witness.Suitable for English stream