Course Detail
Course Description
| Course | Code | Semester | T+P (Hour) | Credit | ECTS |
|---|---|---|---|---|---|
| DIGITAL TRANSFOR. in INFORMATION SYSTEMS and HEALTHCARE | MİSY1116375 | Fall Semester | 3+0 | 3 | 8 |
| Course Program | Çarşamba 17:30-18:15 Çarşamba 18:30-19:15 Çarşamba 19:30-20:15 |
| Prerequisites Courses | |
| Recommended Elective Courses |
| Language of Course | Turkish |
| Course Level | Second Cycle (Master's Degree) |
| Course Type | Elective |
| Course Coordinator | Assoc.Prof. Tuba IŞIK |
| Name of Lecturer(s) | Assoc.Prof. Tuba IŞIK |
| Assistant(s) | It encompasses modern technological applications aimed at making healthcare services more effective, accessible, and patient-centered. This course examines key components such as electronic health records, telemedicine, mobile health applications, AI-supported diagnostic systems, big data analytics, IoT-based medical devices, and cybersecurity in healthcare, exploring both the opportunities created by digitalization in the health sector and the challenges encountered during this transformation. Students gain a comprehensive understanding of contemporary health informatics by evaluating the information management processes of healthcare institutions and the impact of digital technologies on clinical decision-making, patient safety, service quality, and cost management. |
| Aim | The aim of this course is to introduce the information systems and digital technologies used in healthcare and to enable students to gain an in-depth understanding of the dynamics of digital transformation in the health sector. The course covers essential topics such as electronic health records, AI-supported applications, big data analytics, telemedicine services, mobile health technologies, IoT-based medical devices, and cybersecurity in healthcare. It aims to equip students with the ability to assess the impact of digital technologies on the efficiency, accessibility, safety, and cost structure of healthcare services, as well as to develop strategic approaches for digital transformation processes within healthcare institutions. In this way, the course supports students in gaining the vision, innovative thinking skills, and strong technological literacy needed to adapt to the rapidly digitalizing healthcare ecosystem. |
| Course Content | This course contains; Dersin amacı, öğrenme kazanımları, sağlık bilişiminin tanımı ve kapsamı. Dijital dönüşümün sağlık sektörü için önemi.,Dijital sağlık kavramları, e-sağlık, m-sağlık, tele-sağlık, dijitalleşmenin avantajları ve zorlukları.,Klinik bilgi sistemleri, hastane bilgi yönetim sistemleri (HBYS), laboratuvar ve radyoloji bilgi sistemleri.,Health Informatics Systems II,Health Data and Data Management,Big Data and Analytical Applications,Artificial Intelligence and Machine Learning,Telemedicine and Mobile Health Applications,Cybersecurity and Data Protection in Healthcare,Cloud Computing and Infrastructure Modernization in Healthcare,Internet of Things (IoT) and Healthcare Applications,Blockchain and Innovative Technologies in Healthcare,Digital Transformation Strategies and Healthcare Institutions,Course Evaluation and Future Trends. |
| Course Learning Outcomes | Teaching Methods | Assessment Methods |
| Understanding the Fundamentals of Health Informatics: Students can explain the basic concepts of information systems and digital technologies used in healthcare services. Recognizing Digital Health Applications: Students can evaluate the functions and applications of electronic health records (EHR/EMR), telemedicine, mobile health applications, IoT-based medical devices, and artificial intelligence applications. Data Analysis and Decision Support Competence: Students can analyze health data and interpret the effectiveness of clinical decision support systems and their impact on healthcare services. Awareness of Cybersecurity and Data Protection: Students can identify risks related to the security and privacy of health data and explain basic cybersecurity measures. Developing Digital Transformation Strategies: Students can analyze digital transformation processes in healthcare institutions and propose strategic approaches. Critical Thinking and Problem Solving: Students can critically evaluate the advantages and limitations of digital health technologies and develop potential solutions. Keeping Up with Emerging Technologies: Students can follow new technologies and current literature in health informatics to support their professional development. |
| Teaching Methods: | |
| Assessment Methods: |
Course Outline
| Order | Subjects | Preliminary Work |
|---|---|---|
| 1 | Dersin amacı, öğrenme kazanımları, sağlık bilişiminin tanımı ve kapsamı. Dijital dönüşümün sağlık sektörü için önemi. | The purpose of the course, learning outcomes, and the definition and scope of health informatics will be explained. The importance of digital transformation for the healthcare sector will be discussed. The entire curriculum will be reviewed. |
| 2 | Dijital sağlık kavramları, e-sağlık, m-sağlık, tele-sağlık, dijitalleşmenin avantajları ve zorlukları. | Digital health refers to the effective use of information and communication technologies (ICT) in the delivery of healthcare services. Within this context, data management, patient monitoring, diagnosis, and treatment processes in the healthcare sector are conducted through digital platforms |
| 3 | Klinik bilgi sistemleri, hastane bilgi yönetim sistemleri (HBYS), laboratuvar ve radyoloji bilgi sistemleri. | Clinical information systems (CIS), hospital information management systems (HIMS), and laboratory and radiology information systems constitute the essential digital infrastructure that ensures healthcare services are delivered efficiently and safely. CIS supports patient care processes by facilitating clinical decision-making, patient monitoring, and treatment planning. HIMS manages all operational processes of the hospital, including patient records, financial, and administrative data, in an integrated manner. Laboratory and radiology information systems enable the secure digital storage of test results, images, and reports, allowing healthcare professionals to access them quickly. These systems are critically important for enhancing quality, efficiency, and patient safety in healthcare services. |
| 4 | Health Informatics Systems II | Electronic health records (EHR/EMR), pharmacy and operating room information systems, and clinical decision support systems play a critical role in modern healthcare. EHR/EMR systems store patients’ medical histories, diagnoses, and treatment information digitally, enabling healthcare professionals to access data quickly and securely. Pharmacy information systems facilitate medication management, prescription verification, and inventory tracking, while operating room information systems support surgical planning, team coordination, and patient safety processes. Clinical decision support systems analyze clinical data to provide doctors with recommendations for diagnosis and treatment, thereby improving the quality of patient care. Together, these systems enhance efficiency, safety, and quality in healthcare services. |
| 5 | Health Data and Data Management | Knowing the Types of Data: Understanding different types of data in advance—such as patient information, laboratory results, imaging data, prescriptions, and treatment records—makes it easier to illustrate the topic with examples. Preparing Data Quality and Integrity: Being familiar with the fundamental concepts of data accuracy, completeness, and timeliness helps explain why these aspects are critical for clinical decisions and analyses. Preparing Examples and Scenarios: Real clinical examples or case scenarios allow students to understand the topic concretely and strengthen the explanation. Planning the Presentation or Lesson Flow: The sequence in which the topic will be presented and the key concepts to be emphasized will be prepared in advance. |
| 6 | Big Data and Analytical Applications | Before explaining the concepts of big data, data mining, healthcare data analysis, and decision support systems, certain preparatory steps should be taken to help students better understand the topic. First, the fundamental characteristics of big data (volume, velocity, variety, veracity, and value) and its importance in the healthcare sector should be studied. Data mining methods and algorithms should be reviewed, and application examples in healthcare data should be examined. The processes of healthcare data analysis and the impact of analysis results on clinical decisions should be prepared. The definition, types, and integration of decision support systems with data analysis should be illustrated using example scenarios. Additionally, using real or hypothetical case studies to concretize concepts and planning the lesson flow with emphasis on critical points ensures that students grasp the topic effectively and comprehensively. |
| 7 | Artificial Intelligence and Machine Learning | Before explaining topics such as clinical decision support models, image processing, disease prediction, drug discovery, and genomic analyses, some preparatory steps should be taken to help students better understand the material. First, students should gain knowledge about the basic principles and application areas of clinical decision support systems. Image processing techniques and methods used for analyzing medical images should be explained with examples. Disease prediction and risk assessment models should be reviewed in the context of machine learning algorithms and data analysis processes. Fundamental concepts related to drug discovery and genomic analyses should be demonstrated using bioinformatics data and practical examples. Additionally, case scenarios and real-world application examples should be prepared to concretize the concepts, and the lesson flow should be planned in a logical sequence, enabling students to understand the topics comprehensively and effectively. |
| 8 | Telemedicine and Mobile Health Applications | When teaching the topics of teleconsultation, remote patient monitoring, chronic disease management, mobile health, and wearable devices, preparatory steps should be taken to help students better understand the subject. First, the definition, advantages, and clinical applications of teleconsultation should be explained. The working principles of remote patient monitoring systems and their benefits in chronic disease management should be illustrated with examples. The uses of mobile health applications and wearable devices, data collection methods, and their contributions to patient monitoring should be emphasized. Additionally, real or hypothetical case examples should be used to demonstrate how these technologies are integrated into daily clinical practice and their impact on patient care, and the lesson flow should be planned in a logical sequence. |
| 9 | Cybersecurity and Data Protection in Healthcare | Before teaching the topics of personal health data security, KVKK, HIPAA, data breaches, and risk management, preparatory steps should be taken to help students better understand the subject. First, the definition, importance, and security requirements of personal health data should be explained. Basic information about data protection regulations such as KVKK and HIPAA should be provided, illustrating the impact of legal requirements on the healthcare sector with examples. The possible causes, consequences, and prevention methods of data breaches should be examined, and the implementation of risk management processes and security protocols should be explained. Additionally, using case studies or real incidents to concretize the topic ensures that students gain a comprehensive understanding of cybersecurity and data protection. |
| 10 | Cloud Computing and Infrastructure Modernization in Healthcare | First, the concept of cloud computing and the advantages of cloud-based systems in healthcare services should be explained. Data storage and sharing methods, security measures, and data access processes should be illustrated with examples. Integration strategies should clarify how different health information systems are combined in the cloud environment and how data flow is managed. Additionally, within the scope of infrastructure modernization, technology selection, cost and performance evaluations, and application scenarios should be addressed. |
| 11 | Internet of Things (IoT) and Healthcare Applications | The concept of smart hospitals and the role of IoT technologies in healthcare services should be explained. The functioning of IoT-based devices and sensors, data collection methods, and how this data is used in patient care should be illustrated with examples. Additionally, data analysis processes, the evaluation of collected information, and its impact on healthcare decisions should be emphasized. Using real or hypothetical case scenarios, the integration of IoT applications into daily clinical practice should be concretely demonstrated. |
| 12 | Blockchain and Innovative Technologies in Healthcare | Before teaching the topics of blockchain-based patient data management, pharmaceutical supply chains, and smart contracts, preparatory steps should be taken to help students better understand the subject. First, the basic concepts of blockchain technology and how it ensures data security and transparency in the healthcare sector should be explained. The management of patient data on the blockchain, data integrity, and access control mechanisms should be illustrated with examples. The benefits of blockchain applications in the pharmaceutical supply chain, such as preventing counterfeit drugs and improving logistics and inventory management, should be discussed. Additionally, the definition, working principles, and integration of smart contracts into healthcare processes should be concretely demonstrated using case scenarios. These preparations ensure that students grasp blockchain applications in a comprehensive and clear manner. |
| 13 | Digital Transformation Strategies and Healthcare Institutions | Before teaching the topics of digital maturity models, change management, strategic planning, and leadership, preparatory steps should be taken to help students better understand the subject. First, the concept of digital maturity and the models used to assess digital transformation in healthcare institutions should be explained. Change management processes and their importance in organizational transformation should be illustrated with examples. Strategic planning methods, including goal setting, resource management, and implementation steps, should be covered. Additionally, leadership approaches and their role in digital transformation processes should be concretely demonstrated using case scenarios, and the lesson flow should be planned in a logical sequence. These preparations ensure that students grasp digital transformation strategies in a comprehensive and clear manner. |
| 14 | Course Evaluation and Future Trends | Conducting a General Evaluation |
| Resources |
| Digital Transformation in Health Sciences and Artificial Intelligence Applications — Selçuk Avderen, Mehtap Eter, Nuray Dorukbaşı, Mehmet Tankül, Yeşim Bağcı, Sinan Tarsuslu, Şükran Pirhan, Gülistan Uymaz Aras, Baran Aras, Refika Ülke Şimdi, Ayşegül Muslu, Şeyma Kilci Erciyas, Demet Tatar, Aysel Veyisoğlu — Gazi Publishing. Digital Health Management and Technologies — Dr. Ahmet Düha Koç — Akademisyen Publishing. Social Media Practices of Healthcare Institutions in Turkey — Assoc. Prof. Dr. Tuba Işık — Eğitim Publishing. |
| 4- Machine Learning for Administrative Health Records: A Systematic Review of Techniques and Applications - Adrian Caruana, Madhushi Bandara, Katarzyna Musial, Daniel Catchpoole, Paul J. Kennedy 5- Integrated, reliable and cloud-based personal health record: A scoping review- Jesús Romero, Pablo López, José Luis Vázquez Noguera, Cristian Cappo, Diego P. Pinto-Roa, Cynthia Villalba |
Course Contribution to Program Qualifications
| Course Contribution to Program Qualifications | |||||||
| No | Program Qualification | Contribution Level | |||||
| 1 | 2 | 3 | 4 | 5 | |||
| 1 | Has advanced theoretical and practical knowledge in the fields of media history, news writing techniques, news types, applied journalism. | X | |||||
| 2 | Knows the process of content production according to the characteristics of different communication environments. | X | |||||
| 3 | To have knowledge about theories, methods, strategies and techniques related to the field. | X | |||||
| 4 | Aware of the impact of media on people and society's thoughts, behaviors and values. | X | |||||
| 5 | Use theoretical and practical knowledge specific to the field. | X | |||||
| 6 | Develop critical thinking, analysis and synthesis skills. | X | |||||
| 7 | Follows and uses new methods and technologies in the field. | X | |||||
| 8 | Develops the ability to produce an original media content with the knowledge acquired. | X | |||||
| 9 | Evaluates the visual and audio data and literary texts critically. | X | |||||
| 10 | Identifies problems in the field, collects and analyzes data to solve these problems; comments and suggestions for solutions. | X | |||||
| 11 | Acts in accordance with democracy, human rights, social, scientific and professional ethical values in the content production process. | X | |||||
| 12 | Takes responsibility in individual or group works related to the field and fulfills the task taken or executes independently. | X | |||||
| 13 | Plans and manages activities for professional development as an individual and a team member. | X | |||||
| 14 | Monitors at least one foreign language at the level of European Language Portfolio B2 General Level. | X | |||||
| 15 | Transfers written solutions orally and verbally. | X | |||||
| 16 | Evaluates his / her ideas and solutions for problems related to his / her field with his / her stakeholders by supporting them with quantitative and qualitative data. | X | |||||
| 17 | Uses Turkish language fluently and accurately in scientific and professional works. | X | |||||
| 18 | Knowledgeable about occupational health and safety and can use this information when necessary. | X | |||||
| 19 | Sensitive to the environment, the universality of social rights and the protection of cultural values. | X | |||||
Assessment Methods
| Contribution Level | Absolute Evaluation | |
| Rate of Midterm Exam to Success | 50 | |
| Rate of Final Exam to Success | 50 | |
| Total | 100 | |
| ECTS / Workload Table | ||||||
| Activities | Number of | Duration(Hour) | Total Workload(Hour) | |||
| Course Hours | 3 | 3 | 9 | |||
| Guided Problem Solving | 3 | 3 | 9 | |||
| Resolution of Homework Problems and Submission as a Report | 0 | 0 | 0 | |||
| Term Project | 3 | 3 | 9 | |||
| Presentation of Project / Seminar | 3 | 3 | 9 | |||
| Quiz | 3 | 3 | 9 | |||
| Midterm Exam | 3 | 3 | 9 | |||
| General Exam | 6 | 6 | 36 | |||
| Performance Task, Maintenance Plan | 8 | 8 | 64 | |||
| Total Workload(Hour) | 154 | |||||
| Dersin AKTS Kredisi = Toplam İş Yükü (Saat)/30*=(154/30) | 5 | |||||
| ECTS of the course: 30 hours of work is counted as 1 ECTS credit. | ||||||
Detail Informations of the Course
Course Description
| Course | Code | Semester | T+P (Hour) | Credit | ECTS |
|---|---|---|---|---|---|
| DIGITAL TRANSFOR. in INFORMATION SYSTEMS and HEALTHCARE | MİSY1116375 | Fall Semester | 3+0 | 3 | 8 |
| Course Program | Çarşamba 17:30-18:15 Çarşamba 18:30-19:15 Çarşamba 19:30-20:15 |
| Prerequisites Courses | |
| Recommended Elective Courses |
| Language of Course | Turkish |
| Course Level | Second Cycle (Master's Degree) |
| Course Type | Elective |
| Course Coordinator | Assoc.Prof. Tuba IŞIK |
| Name of Lecturer(s) | Assoc.Prof. Tuba IŞIK |
| Assistant(s) | It encompasses modern technological applications aimed at making healthcare services more effective, accessible, and patient-centered. This course examines key components such as electronic health records, telemedicine, mobile health applications, AI-supported diagnostic systems, big data analytics, IoT-based medical devices, and cybersecurity in healthcare, exploring both the opportunities created by digitalization in the health sector and the challenges encountered during this transformation. Students gain a comprehensive understanding of contemporary health informatics by evaluating the information management processes of healthcare institutions and the impact of digital technologies on clinical decision-making, patient safety, service quality, and cost management. |
| Aim | The aim of this course is to introduce the information systems and digital technologies used in healthcare and to enable students to gain an in-depth understanding of the dynamics of digital transformation in the health sector. The course covers essential topics such as electronic health records, AI-supported applications, big data analytics, telemedicine services, mobile health technologies, IoT-based medical devices, and cybersecurity in healthcare. It aims to equip students with the ability to assess the impact of digital technologies on the efficiency, accessibility, safety, and cost structure of healthcare services, as well as to develop strategic approaches for digital transformation processes within healthcare institutions. In this way, the course supports students in gaining the vision, innovative thinking skills, and strong technological literacy needed to adapt to the rapidly digitalizing healthcare ecosystem. |
| Course Content | This course contains; Dersin amacı, öğrenme kazanımları, sağlık bilişiminin tanımı ve kapsamı. Dijital dönüşümün sağlık sektörü için önemi.,Dijital sağlık kavramları, e-sağlık, m-sağlık, tele-sağlık, dijitalleşmenin avantajları ve zorlukları.,Klinik bilgi sistemleri, hastane bilgi yönetim sistemleri (HBYS), laboratuvar ve radyoloji bilgi sistemleri.,Health Informatics Systems II,Health Data and Data Management,Big Data and Analytical Applications,Artificial Intelligence and Machine Learning,Telemedicine and Mobile Health Applications,Cybersecurity and Data Protection in Healthcare,Cloud Computing and Infrastructure Modernization in Healthcare,Internet of Things (IoT) and Healthcare Applications,Blockchain and Innovative Technologies in Healthcare,Digital Transformation Strategies and Healthcare Institutions,Course Evaluation and Future Trends. |
| Course Learning Outcomes | Teaching Methods | Assessment Methods |
| Understanding the Fundamentals of Health Informatics: Students can explain the basic concepts of information systems and digital technologies used in healthcare services. Recognizing Digital Health Applications: Students can evaluate the functions and applications of electronic health records (EHR/EMR), telemedicine, mobile health applications, IoT-based medical devices, and artificial intelligence applications. Data Analysis and Decision Support Competence: Students can analyze health data and interpret the effectiveness of clinical decision support systems and their impact on healthcare services. Awareness of Cybersecurity and Data Protection: Students can identify risks related to the security and privacy of health data and explain basic cybersecurity measures. Developing Digital Transformation Strategies: Students can analyze digital transformation processes in healthcare institutions and propose strategic approaches. Critical Thinking and Problem Solving: Students can critically evaluate the advantages and limitations of digital health technologies and develop potential solutions. Keeping Up with Emerging Technologies: Students can follow new technologies and current literature in health informatics to support their professional development. |
| Teaching Methods: | |
| Assessment Methods: |
Course Outline
| Order | Subjects | Preliminary Work |
|---|---|---|
| 1 | Dersin amacı, öğrenme kazanımları, sağlık bilişiminin tanımı ve kapsamı. Dijital dönüşümün sağlık sektörü için önemi. | The purpose of the course, learning outcomes, and the definition and scope of health informatics will be explained. The importance of digital transformation for the healthcare sector will be discussed. The entire curriculum will be reviewed. |
| 2 | Dijital sağlık kavramları, e-sağlık, m-sağlık, tele-sağlık, dijitalleşmenin avantajları ve zorlukları. | Digital health refers to the effective use of information and communication technologies (ICT) in the delivery of healthcare services. Within this context, data management, patient monitoring, diagnosis, and treatment processes in the healthcare sector are conducted through digital platforms |
| 3 | Klinik bilgi sistemleri, hastane bilgi yönetim sistemleri (HBYS), laboratuvar ve radyoloji bilgi sistemleri. | Clinical information systems (CIS), hospital information management systems (HIMS), and laboratory and radiology information systems constitute the essential digital infrastructure that ensures healthcare services are delivered efficiently and safely. CIS supports patient care processes by facilitating clinical decision-making, patient monitoring, and treatment planning. HIMS manages all operational processes of the hospital, including patient records, financial, and administrative data, in an integrated manner. Laboratory and radiology information systems enable the secure digital storage of test results, images, and reports, allowing healthcare professionals to access them quickly. These systems are critically important for enhancing quality, efficiency, and patient safety in healthcare services. |
| 4 | Health Informatics Systems II | Electronic health records (EHR/EMR), pharmacy and operating room information systems, and clinical decision support systems play a critical role in modern healthcare. EHR/EMR systems store patients’ medical histories, diagnoses, and treatment information digitally, enabling healthcare professionals to access data quickly and securely. Pharmacy information systems facilitate medication management, prescription verification, and inventory tracking, while operating room information systems support surgical planning, team coordination, and patient safety processes. Clinical decision support systems analyze clinical data to provide doctors with recommendations for diagnosis and treatment, thereby improving the quality of patient care. Together, these systems enhance efficiency, safety, and quality in healthcare services. |
| 5 | Health Data and Data Management | Knowing the Types of Data: Understanding different types of data in advance—such as patient information, laboratory results, imaging data, prescriptions, and treatment records—makes it easier to illustrate the topic with examples. Preparing Data Quality and Integrity: Being familiar with the fundamental concepts of data accuracy, completeness, and timeliness helps explain why these aspects are critical for clinical decisions and analyses. Preparing Examples and Scenarios: Real clinical examples or case scenarios allow students to understand the topic concretely and strengthen the explanation. Planning the Presentation or Lesson Flow: The sequence in which the topic will be presented and the key concepts to be emphasized will be prepared in advance. |
| 6 | Big Data and Analytical Applications | Before explaining the concepts of big data, data mining, healthcare data analysis, and decision support systems, certain preparatory steps should be taken to help students better understand the topic. First, the fundamental characteristics of big data (volume, velocity, variety, veracity, and value) and its importance in the healthcare sector should be studied. Data mining methods and algorithms should be reviewed, and application examples in healthcare data should be examined. The processes of healthcare data analysis and the impact of analysis results on clinical decisions should be prepared. The definition, types, and integration of decision support systems with data analysis should be illustrated using example scenarios. Additionally, using real or hypothetical case studies to concretize concepts and planning the lesson flow with emphasis on critical points ensures that students grasp the topic effectively and comprehensively. |
| 7 | Artificial Intelligence and Machine Learning | Before explaining topics such as clinical decision support models, image processing, disease prediction, drug discovery, and genomic analyses, some preparatory steps should be taken to help students better understand the material. First, students should gain knowledge about the basic principles and application areas of clinical decision support systems. Image processing techniques and methods used for analyzing medical images should be explained with examples. Disease prediction and risk assessment models should be reviewed in the context of machine learning algorithms and data analysis processes. Fundamental concepts related to drug discovery and genomic analyses should be demonstrated using bioinformatics data and practical examples. Additionally, case scenarios and real-world application examples should be prepared to concretize the concepts, and the lesson flow should be planned in a logical sequence, enabling students to understand the topics comprehensively and effectively. |
| 8 | Telemedicine and Mobile Health Applications | When teaching the topics of teleconsultation, remote patient monitoring, chronic disease management, mobile health, and wearable devices, preparatory steps should be taken to help students better understand the subject. First, the definition, advantages, and clinical applications of teleconsultation should be explained. The working principles of remote patient monitoring systems and their benefits in chronic disease management should be illustrated with examples. The uses of mobile health applications and wearable devices, data collection methods, and their contributions to patient monitoring should be emphasized. Additionally, real or hypothetical case examples should be used to demonstrate how these technologies are integrated into daily clinical practice and their impact on patient care, and the lesson flow should be planned in a logical sequence. |
| 9 | Cybersecurity and Data Protection in Healthcare | Before teaching the topics of personal health data security, KVKK, HIPAA, data breaches, and risk management, preparatory steps should be taken to help students better understand the subject. First, the definition, importance, and security requirements of personal health data should be explained. Basic information about data protection regulations such as KVKK and HIPAA should be provided, illustrating the impact of legal requirements on the healthcare sector with examples. The possible causes, consequences, and prevention methods of data breaches should be examined, and the implementation of risk management processes and security protocols should be explained. Additionally, using case studies or real incidents to concretize the topic ensures that students gain a comprehensive understanding of cybersecurity and data protection. |
| 10 | Cloud Computing and Infrastructure Modernization in Healthcare | First, the concept of cloud computing and the advantages of cloud-based systems in healthcare services should be explained. Data storage and sharing methods, security measures, and data access processes should be illustrated with examples. Integration strategies should clarify how different health information systems are combined in the cloud environment and how data flow is managed. Additionally, within the scope of infrastructure modernization, technology selection, cost and performance evaluations, and application scenarios should be addressed. |
| 11 | Internet of Things (IoT) and Healthcare Applications | The concept of smart hospitals and the role of IoT technologies in healthcare services should be explained. The functioning of IoT-based devices and sensors, data collection methods, and how this data is used in patient care should be illustrated with examples. Additionally, data analysis processes, the evaluation of collected information, and its impact on healthcare decisions should be emphasized. Using real or hypothetical case scenarios, the integration of IoT applications into daily clinical practice should be concretely demonstrated. |
| 12 | Blockchain and Innovative Technologies in Healthcare | Before teaching the topics of blockchain-based patient data management, pharmaceutical supply chains, and smart contracts, preparatory steps should be taken to help students better understand the subject. First, the basic concepts of blockchain technology and how it ensures data security and transparency in the healthcare sector should be explained. The management of patient data on the blockchain, data integrity, and access control mechanisms should be illustrated with examples. The benefits of blockchain applications in the pharmaceutical supply chain, such as preventing counterfeit drugs and improving logistics and inventory management, should be discussed. Additionally, the definition, working principles, and integration of smart contracts into healthcare processes should be concretely demonstrated using case scenarios. These preparations ensure that students grasp blockchain applications in a comprehensive and clear manner. |
| 13 | Digital Transformation Strategies and Healthcare Institutions | Before teaching the topics of digital maturity models, change management, strategic planning, and leadership, preparatory steps should be taken to help students better understand the subject. First, the concept of digital maturity and the models used to assess digital transformation in healthcare institutions should be explained. Change management processes and their importance in organizational transformation should be illustrated with examples. Strategic planning methods, including goal setting, resource management, and implementation steps, should be covered. Additionally, leadership approaches and their role in digital transformation processes should be concretely demonstrated using case scenarios, and the lesson flow should be planned in a logical sequence. These preparations ensure that students grasp digital transformation strategies in a comprehensive and clear manner. |
| 14 | Course Evaluation and Future Trends | Conducting a General Evaluation |
| Resources |
| Digital Transformation in Health Sciences and Artificial Intelligence Applications — Selçuk Avderen, Mehtap Eter, Nuray Dorukbaşı, Mehmet Tankül, Yeşim Bağcı, Sinan Tarsuslu, Şükran Pirhan, Gülistan Uymaz Aras, Baran Aras, Refika Ülke Şimdi, Ayşegül Muslu, Şeyma Kilci Erciyas, Demet Tatar, Aysel Veyisoğlu — Gazi Publishing. Digital Health Management and Technologies — Dr. Ahmet Düha Koç — Akademisyen Publishing. Social Media Practices of Healthcare Institutions in Turkey — Assoc. Prof. Dr. Tuba Işık — Eğitim Publishing. |
| 4- Machine Learning for Administrative Health Records: A Systematic Review of Techniques and Applications - Adrian Caruana, Madhushi Bandara, Katarzyna Musial, Daniel Catchpoole, Paul J. Kennedy 5- Integrated, reliable and cloud-based personal health record: A scoping review- Jesús Romero, Pablo López, José Luis Vázquez Noguera, Cristian Cappo, Diego P. Pinto-Roa, Cynthia Villalba |
Course Contribution to Program Qualifications
| Course Contribution to Program Qualifications | |||||||
| No | Program Qualification | Contribution Level | |||||
| 1 | 2 | 3 | 4 | 5 | |||
| 1 | Has advanced theoretical and practical knowledge in the fields of media history, news writing techniques, news types, applied journalism. | X | |||||
| 2 | Knows the process of content production according to the characteristics of different communication environments. | X | |||||
| 3 | To have knowledge about theories, methods, strategies and techniques related to the field. | X | |||||
| 4 | Aware of the impact of media on people and society's thoughts, behaviors and values. | X | |||||
| 5 | Use theoretical and practical knowledge specific to the field. | X | |||||
| 6 | Develop critical thinking, analysis and synthesis skills. | X | |||||
| 7 | Follows and uses new methods and technologies in the field. | X | |||||
| 8 | Develops the ability to produce an original media content with the knowledge acquired. | X | |||||
| 9 | Evaluates the visual and audio data and literary texts critically. | X | |||||
| 10 | Identifies problems in the field, collects and analyzes data to solve these problems; comments and suggestions for solutions. | X | |||||
| 11 | Acts in accordance with democracy, human rights, social, scientific and professional ethical values in the content production process. | X | |||||
| 12 | Takes responsibility in individual or group works related to the field and fulfills the task taken or executes independently. | X | |||||
| 13 | Plans and manages activities for professional development as an individual and a team member. | X | |||||
| 14 | Monitors at least one foreign language at the level of European Language Portfolio B2 General Level. | X | |||||
| 15 | Transfers written solutions orally and verbally. | X | |||||
| 16 | Evaluates his / her ideas and solutions for problems related to his / her field with his / her stakeholders by supporting them with quantitative and qualitative data. | X | |||||
| 17 | Uses Turkish language fluently and accurately in scientific and professional works. | X | |||||
| 18 | Knowledgeable about occupational health and safety and can use this information when necessary. | X | |||||
| 19 | Sensitive to the environment, the universality of social rights and the protection of cultural values. | X | |||||
Assessment Methods
| Contribution Level | Absolute Evaluation | |
| Rate of Midterm Exam to Success | 50 | |
| Rate of Final Exam to Success | 50 | |
| Total | 100 | |