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Introduction to Digital Health and Health Data
Study Course Description
Course Description Statuss:Approved
Course Description Version:7.00
Study Course Accepted:02.02.2024 12:30:58
| Study Course Information | |||||||||
| Course Code: | VVDG_041 | LQF level: | Level 7 | ||||||
| Credit Points: | 2.00 | ECTS: | 3.00 | ||||||
| Branch of Science: | Management; Business Management | Target Audience: | Management Science; Business Management; Social Welfare and Social Work; Health Management; Nursing Science | ||||||
| Study Course Supervisor | |||||||||
| Course Supervisor: | Didzis Rūtītis | ||||||||
| Study Course Implementer | |||||||||
| Structural Unit: | Faculty of Social Sciences | ||||||||
| The Head of Structural Unit: | |||||||||
| Contacts: | Dzirciema street 16, Rīga, szf rsu[pnkts]lv | ||||||||
| Study Course Planning | |||||||||
| Full-Time - Semester No.1 | |||||||||
| Lectures (count) | 6 | Lecture Length (academic hours) | 2 | Total Contact Hours of Lectures | 12 | ||||
| Classes (count) | 6 | Class Length (academic hours) | 2 | Total Contact Hours of Classes | 12 | ||||
| Total Contact Hours | 24 | ||||||||
| Part-Time - Semester No.1 | |||||||||
| Lectures (count) | 6 | Lecture Length (academic hours) | 2 | Total Contact Hours of Lectures | 12 | ||||
| Classes (count) | 6 | Class Length (academic hours) | 2 | Total Contact Hours of Classes | 12 | ||||
| Total Contact Hours | 24 | ||||||||
| Study course description | |||||||||
| Preliminary Knowledge: | Basic skills in working with data (searching for information, understanding structured data, data processing with MS Excel). | ||||||||
| 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. | ||||||||
| Topic Layout (Full-Time) | |||||||||
| No. | Topic | Type of Implementation | Number | Venue | |||||
| 1 | Types of digital health data, their classification and standardization | Lectures | 2.00 | auditorium | |||||
| Classes | 1.00 | auditorium | |||||||
| 2 | Digital health information systems - EMR, EHR, PHR, disease registries; data and their exchange standards | Lectures | 1.00 | auditorium | |||||
| Classes | 2.00 | auditorium | |||||||
| 3 | Telemedicine services: remote consultations and consultations, remote monitoring of the patient | Lectures | 1.00 | E-Studies platform | |||||
| Classes | 1.00 | E-Studies platform | |||||||
| 4 | Data security and digital risks | Lectures | 1.00 | auditorium | |||||
| Classes | 1.00 | E-Studies platform | |||||||
| 5 | Data security, privacy and related digital health challenges | Lectures | 1.00 | E-Studies platform | |||||
| Classes | 1.00 | E-Studies platform | |||||||
| Topic Layout (Part-Time) | |||||||||
| No. | Topic | Type of Implementation | Number | Venue | |||||
| 1 | Types of digital health data, their classification and standardization | Lectures | 2.00 | auditorium | |||||
| Classes | 1.00 | auditorium | |||||||
| 2 | Digital health information systems - EMR, EHR, PHR, disease registries; data and their exchange standards | Lectures | 1.00 | auditorium | |||||
| Classes | 2.00 | auditorium | |||||||
| 3 | Telemedicine services: remote consultations and consultations, remote monitoring of the patient | Lectures | 1.00 | E-Studies platform | |||||
| Classes | 1.00 | E-Studies platform | |||||||
| 4 | Data security and digital risks | Lectures | 1.00 | auditorium | |||||
| Classes | 1.00 | E-Studies platform | |||||||
| 5 | Data security, privacy and related digital health challenges | Lectures | 1.00 | E-Studies platform | |||||
| Classes | 1.00 | E-Studies platform | |||||||
| Assessment | |||||||||
| Unaided Work: | 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. | ||||||||
| Assessment Criteria: | 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. | ||||||||
| Final Examination (Full-Time): | Exam | ||||||||
| Final Examination (Part-Time): | Exam (Written) | ||||||||
| Learning Outcomes | |||||||||
| Knowledge: | - 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: | - 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. | ||||||||
| Competencies: | - 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. | ||||||||
| Bibliography | |||||||||
| No. | Reference | ||||||||
| 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. | ||||||||
