UZAKTAN HASTA İZLEME SİSTEMLERİ II PROGRAMME COURSE DESCRIPTION

Code	Name of the Course Unit	Semester	In-Class Hours (T+P)	Credit	ECTS Credit
TSP152	UZAKTAN HASTA İZLEME SİSTEMLERİ II	2	2	1	5

GENERAL INFORMATION
Language of Instruction :	Turkish
Level of the Course Unit :	ASSOCIATE DEGREE, TYY: + 5.Level, EQF-LLL: 5.Level, QF-EHEA: Short Cycle
Type of the Course :	Compulsory
Mode of Delivery of the Course Unit	-
Coordinator of the Course Unit	Lecturer PINAR GENÇ
Instructor(s) of the Course Unit	Lecturer PINAR GENÇ
Course Prerequisite	No

OBJECTIVES AND CONTENTS
Objectives of the Course Unit:	The aim of this course is to equip students with knowledge of real-time biomedical data monitoring, big data and AI-based analysis approaches, data security and privacy, standards and regulations, and to enable them to apply this knowledge to health informatics applications.
Contents of the Course Unit:	The course content covers the following topics: Data structure and basic analysis methods from remote monitoring systems, real-time data monitoring and clinical interpretation, identification of clinically significant parameters and risk classification, alarm systems: threshold values, prioritization, false alarm issues, introduction to clinical decision support systems and integration with remote monitoring, exemplification of AI-powered decision support systems, patient safety, emergency response scenarios and system response in critical situations, quality, reliability and maintenance criteria of remote monitoring systems, user-friendly interfaces and patient-professional communication mechanisms, system design and configuration for different patient profiles (child, elderly, chronic, etc.), scenario-based evaluation and solution suggestions with real cases, next-generation technologies: IoT, wearable devices and advanced systems.

KEY LEARNING OUTCOMES OF THE COURSE UNIT (On successful completion of this course unit, students/learners will or will be able to)
It analyzes and interprets data obtained from remote monitoring systems.
It integrates remote monitoring systems with clinical decision support systems.
Alarm management assesses patient safety and system reliability.
It recommends suitable remote monitoring solutions for different clinical scenarios.

WEEKLY COURSE CONTENTS AND STUDY MATERIALS FOR PRELIMINARY & FURTHER STUDY
Week	Preparatory	Topics(Subjects)	Method
1	Written and Visual Resources	Structure of Data from Remote Monitoring Systems and Basic Analysis Methods	Lecture / Question-Answer
2	Written and Visual Resources	Real-time Data Monitoring and Clinical Interpretation	Explanation / Video / Question - Answer
3	Written and Visual Resources	Determination of Clinically Significant Parameters and Risk Classification	Explanation / Video / Question - Answer
4	Written and Visual Resources	Alarm Systems: Threshold Values, Prioritization, False Alarm Problems - Short Quiz	Explanation / Video / Question - Answer
5	Written and Visual Resources	Introduction to Clinical Decision Support Systems and Integration with Remote Monitoring	Explanation / Video / Question - Answer
6	Written and Visual Resources	Examples of AI-Powered Decision Support Systems	Explanation / Video / Question - Answer
7	Written and Visual Resources	Patient Safety, Emergency Response Scenarios, and System Response in Critical Situations	Explanation / Video / Question - Answer
8	Written and Visual Resources	Quality, Reliability, and Maintenance Criteria for Remote Monitoring Systems	Explanation / Video / Question - Answer
9	Written and Visual Resources	User-Friendly Interfaces and Patient-Professional Communication Mechanisms - Short Quiz	Explanation / Video / Question - Answer
10	-	MID-TERM EXAM	-
11	Written and Visual Resources	System Design and Configuration for Different Patient Profiles (Children, Elderly, Chronic, etc.)	Explanation / Video / Question - Answer
12	Written and Visual Resources	Scenario-Based Assessment and Solution Proposals Based on Real Cases	Explanation / Video / Question - Answer
13	Written and Visual Resources	Next Generation Technologies: IoT, Wearable Devices, and Advanced Systems	Explanation / Video / Question - Answer
14	Written and Visual Resources	Homework Presentations	Explanation / Video / Question - Answer
15	Written and Visual Resources	Homework Presentations	Explanation / Video / Question - Answer
16	-	FINAL EXAM	-
17	-	FINAL EXAM	-

SOURCE MATERIALS & RECOMMENDED READING
Cicioğlu, M., & Çalhan, A. (2021). CLOUD-SUPPORTED INTERNET OF THINGS-BASED REMOTE HEALTH MONITORING SYSTEM. Uludağ University Faculty of Engineering Journal, 26(3), 1083-1096. https://doi.org/10.17482/uumfd.856981
Tekin HC. Telemedicine Platform for Remote Monitoring of Chronic Patients. DEUFMD. 2020;22(64):37-46.
Kylek, S., Kılıç, E., Söylemez, B., … Aruk, E. (2020). A STUDY ON INTERNET OF THINGS BASED HEALTH MONITORING SYSTEMS. Journal of Engineering Sciences and Design, 8(5), 80-89. https://doi.org/10.21923/jesd.831844
Malviya, R., & Goyal, P. Remote patient monitoring: A computational perspective in healthcare (1st ed.). River Publishers, 2023

ASSESSMENT
Assessment & Grading of In-Term Activities	Number of Activities	Degree of Contribution (%)	Description	Examination Method

Level of Contribution
0	1	2	3	4	5

KNOWLEDGE
Theoretical
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	It explains the basic medical terminology, communication protocols, and health informatics concepts used in the field.						5
2	It explains the operating principles of fundamental information technologies, video communication tools, sensor systems, and remote monitoring equipment that form the basis of the profession.						5

KNOWLEDGE
Factual
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	This document explains the legislation regulating telehealth applications in Turkey, patient rights, data security, and legal requirements regarding the protection of personal data.						5
2	This document describes the scope, application areas, and clinical workflows of teleconsulting, telemedicine, telecare, and remote patient monitoring models.						5
3	It describes the functions, data types, information flow, and integration processes of electronic health record systems used in the field.						5

SKILLS
Cognitive
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	It collects data from software and devices used in its field and analyzes key metrics.						5
2	It describes technical problems that arise during remote patient monitoring.						5
3	It securely transmits patient data during tele-consulting and tele-care processes.						5

SKILLS
Practical
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	It applies basic triage, status assessment, and prioritization procedures for the services in its area according to relevant protocols.						5
2	It ensures that data is entered into electronic health record systems used in the practice of the profession accurately, completely, and in accordance with standards.						5
3	The student identifies potential occupational health and safety risks in work environments.					4

OCCUPATIONAL
Autonomy & Responsibility
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	It offers solutions to increase the efficiency and workflow of the field and contributes to improvements in implementation processes.						5

OCCUPATIONAL
Learning to Learn
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	By analyzing clinical and technical situations encountered in field applications, it determines appropriate procedural steps.						5

OCCUPATIONAL
Communication & Social
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	They use a foreign language to keep up with developments in their field and communicate with colleagues.						5

OCCUPATIONAL
Occupational and/or Vocational
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	By evaluating remote patient monitoring data, it informs healthcare professionals when necessary if there are risky situations.						5
2	It offers solutions to increase the efficiency and workflow of the field and contributes to improvements in implementation processes.						5
3	It identifies data transfer errors, connection problems, or user-caused issues occurring in the devices and software of its field, and applies appropriate solutions.						5
4	In addition to checking the accuracy of measuring devices and digital monitoring tools used in professional services within their field, they also apply calibration or remeasurement processes when necessary.						5

WORKLOAD & ECTS CREDITS OF THE COURSE UNIT
Workload for Learning & Teaching Activities
Type of the Learning Activites	Learning Activities (# of week)	Duration (hours, h)	Workload (h)
Lecture & In-Class Activities	14	2	28
Preliminary & Further Study	14	2	28
Land Surveying	0	0	0
Group Work	2	2	4
Laboratory	0	0	0
Reading	9	2	18
Assignment (Homework)	0	0	0
Project Work	0	0	0
Seminar	0	0	0
Internship	0	0	0
Technical Visit	0	0	0
Web Based Learning	0	0	0
Implementation/Application/Practice	0	0	0
Practice at a workplace	0	0	0
Occupational Activity	0	0	0
Social Activity	0	0	0
Thesis Work	0	0	0
Field Study	0	0	0
Report Writing	0	0	0
Final Exam	1	1	1
Preparation for the Final Exam	14	2	28
Mid-Term Exam	0	0	0
Preparation for the Mid-Term Exam	0	0	0
Short Exam	2	2	4
Preparation for the Short Exam	9	2	18
TOTAL	65	0	129