Veidlapa Nr. M-3 (8)
Study Course Description
Introduction to Digital Health and Health Data
Course Code
VVDG_041
Branch of Science
Other social sciences
ECTS
3.00
Target Audience
Business Management; Health Management; Management Science; Nursing Science; Social Welfare and Social Work
LQF
Level 7
Study Type And Form
Full-Time; Part-Time
Study Course Implementer
Course Supervisor
Didzis Rūtītis
Structure Unit Manager
Daiga Behmane
Structural Unit
Health Management Teaching Group
Contacts
Dzirciema street 16, Rīga
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).
Learning Outcomes
Knowledge
1.- Know the generation, standardization, accumulation of digital health data and know their application in various processes in the health field. - To know the information systems that collect and analyze health data that are more often used in the field of health and the goals and tasks, functions and limitations of their use. - Recognize, name and provide an overview of the most commonly used standards in the field of digital health. - 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.- Justify the application possibilities of various digital health tools for digital transformation in 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, introduce 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 health data accumulating and analyzing information systems for digital transformation in health care, including high level data processing. - 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. - Introduce tele-medicine 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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-
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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: to propose a solution to a certain problem in the field of health using digital health data, to describe the challenges of data security and digital processing risks and propose 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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-
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2.
Examination |
-
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-
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The evaluation of the study course will be made up of the final exam test, which will include multiple choice type of questions from the lecture material of each training topic of the course (5 pieces in total). To pass the course successfully, student need to get at least 4 points out of 10.
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Study Course Theme Plan
FULL-TIME
Part 1
-
Lecture
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Modality
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Location
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Contact hours
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|---|---|---|
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On site
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Auditorium
|
2
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Topics
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Types of digital health data, their classification and standardization
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-
Lecture
|
Modality
|
Location
|
Contact hours
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|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Types of digital health data, their classification and standardization
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Types of digital health data, their classification and standardization
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Digital health information systems - EMR, EHR, PHR, disease registries; data and their exchange standards
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Digital health information systems - EMR, EHR, PHR, disease registries; data and their exchange standards
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Digital health information systems - EMR, EHR, PHR, disease registries; data and their exchange standards
|
-
Lecture
|
Modality
|
Location
|
Contact hours
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|---|---|---|
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Off site
|
E-Studies platform
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2
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Topics
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Telemedicine services: remote consultations and consultations, remote monitoring of the patient
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-
Class/Seminar
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Modality
|
Location
|
Contact hours
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|---|---|---|
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Off site
|
E-Studies platform
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2
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Topics
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Telemedicine services: remote consultations and consultations, remote monitoring of the patient
|
-
Lecture
|
Modality
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Location
|
Contact hours
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|---|---|---|
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On site
|
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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|---|---|---|
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Off site
|
E-Studies platform
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2
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Topics
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Data security and digital risks
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-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
Off site
|
E-Studies platform
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2
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Topics
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Data security, privacy and related digital health 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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|---|---|---|
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Off site
|
E-Studies platform
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2
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Topics
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Data security, privacy and related digital health challenges
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Total ECTS (Creditpoints):
3.00
Contact hours:
24 Academic Hours
Final Examination:
Exam
PART-TIME
Part 1
-
Lecture
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Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Types of digital health data, their classification and standardization
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Types of digital health data, their classification and standardization
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Types of digital health data, their classification and standardization
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Digital health information systems - EMR, EHR, PHR, disease registries; data and their exchange standards
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Digital health information systems - EMR, EHR, PHR, disease registries; data and their exchange standards
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Digital health information systems - EMR, EHR, PHR, disease registries; data and their exchange standards
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
Off site
|
E-Studies platform
|
2
|
Topics
|
Telemedicine services: remote consultations and consultations, remote monitoring of the patient
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
Off site
|
E-Studies platform
|
2
|
Topics
|
Telemedicine services: remote consultations and consultations, remote monitoring of the patient
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Data security and digital risks
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
Off site
|
E-Studies platform
|
2
|
Topics
|
Data security and digital risks
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
Off site
|
E-Studies platform
|
2
|
Topics
|
Data security, privacy and related digital health challenges
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
Off site
|
E-Studies platform
|
2
|
Topics
|
Data security, privacy and related digital health challenges
|
Total ECTS (Creditpoints):
3.00
Contact hours:
24 Academic Hours
Final Examination:
Exam (Written)
Bibliography
Required Reading
1.
Pettey C. (2019, March 8). Why data and analytics are key to digital transformation. Gartner.
2.
Glaser, J., & Shaw, S. (2022). Digital transformation success: What can health care providers learn from other industries. NEJM Catalyst.
3.
Tabrizi, B., Lam, E., Girard, K., & Irvin, V. (2019). Digital transformation is not about technology. Harvard Business Review.
4.
Solomon, M., & Rolle, T. L. (2020, June). Four factors driving the momentum of telehealth adoption that will continue after the COVID-19 crisis. Point of Care Partners.
5.
Siwicki, B. (2021, November 1). Interoperability: Where it’s headed, and where IT leaders will be investing. Healthcare ITNews.
6.
Farnham, K. (2021, September 16). Why good governance is the secret of success in digital transformation. Diligent.
7.
Obwegeser, N., Yokoi, T., Wade, M., & Voskes, T. (2020, April 1). 7 key principles to govern digital initiatives. MIT Sloan Management Review.
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.
2.
Glaser, J. (2019, December 27). How To Ensure Your Health Care Innovation Doesn’t Flop. Harvard Business Review.
3.
Gupta, D. (2022, July 22). How is technology impacting home healthcare? Appinventiv.
Other Information Sources
1.
Kwo, L. (2021, July 1). Contributed: Top 10 use cases for AI in healthcare. Mobihealthnews.
2.
Kimberling, E. (2021, April 8). Top 10 Digital Transformation Failures of All Time, Selected by an ERP Expert Witness.