

Course Information: HSN/376 is a course that explores the integration of technology in the nursing field to improve patient care and safety.
The course focuses on Health Informatics, Nursing Informatics, and how these fields utilize Electronic Health Records (EHR), Clinical Decision Support Systems (CDSS), and Health IT Systems to enhance the quality of healthcare.
Students will be introduced to essential concepts such as Data Management in Healthcare, Healthcare Automation, Patient Safety Technology, and the role of Artificial Intelligence (AI) in Healthcare.
The course also addresses the future of nursing technology, examining emerging trends and how they will shape patient-centered care. It aims to provide students with a strong understanding of the technologies influencing healthcare and their direct impact on clinical practices and patient outcomes.
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This course is worth 3 credits.
By the end of this course, students will be able to:
This textbook provides an in-depth overview of Health Informatics, Nursing Informatics, and the technologies used in modern healthcare settings. Students will use this as a primary resource for understanding both the theoretical and practical applications of informatics in nursing practice.
This week’s focus is on the fundamental principles of Health Informatics and its application in nursing. The role of technology in enhancing patient care will be examined, with a particular emphasis on Nursing Informatics. Students will learn how Health IT Systems, such as Electronic Health Records (EHR), help streamline patient data management and improve communication between healthcare providers.
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In this week, students will dive into the components of Health Information Systems (HIS) and how they function within healthcare environments. The role of Data Management in Healthcare is critical to the effective use of HIS in improving patient care, reducing errors, and ensuring compliance with regulations.
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This week focuses on Clinical Decision Support Systems (CDSS), which provide real-time support to healthcare providers by offering evidence-based recommendations. The integration of Clinical Decision Support into Electronic Health Records (EHR) will be explored in detail.
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In this week, students will learn about Consumer Health Informatics (CHI), which aims to provide patients with information and resources to better manage their health. The role of telemedicine, online health tools, and self-paced patient education will be discussed, with an emphasis on how these resources enhance patient-centered care.
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This final week focuses on the future of Health IT Systems and the continued advancement of technologies such as Artificial Intelligence (AI) in Healthcare, telemedicine, and healthcare automation. The course will conclude with a focus on the Future of Nursing Technology and how these innovations will shape patient care and nursing practice.
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The primary textbook for this course is:
Additional reading materials and resources will be provided through the University Library Resources, which are accessible online and will assist in deepening your understanding of course concepts.
Throughout the course, students will participate in online discussions where they will analyze and critique various aspects of Nursing Informatics, Health IT Systems, and their impact on patient care. Each week will involve participation in these discussions, contributing to the overall grade.
In addition, there will be summative assessments each week, focusing on a variety of topics, including the use of Clinical Decision Support Systems, the role of Consumer Health Informatics, and the integration of AI in Healthcare.
A critical component of this course is understanding the relationship between Patient Safety Technology and informatics. Students will learn how Health Information Systems (HIS), EHRs, and CDSS contribute to improving patient safety, reducing errors, and enhancing clinical outcomes.
The course will cover Advancements in Nursing Informatics, emphasizing the growing role of technology in nursing practice. The use of electronic health records (EHRs), mobile health tools, and automated decision-making systems are transforming how nurses deliver care and monitor patient progress.
As Artificial Intelligence (AI) continues to make strides in healthcare, students will explore its potential in shaping the future of healthcare technology. AI-driven solutions, such as predictive analytics and robotic assistance, will have a profound impact on clinical decision support, patient safety, and overall patient care.
In this section, students will examine how Informatics is applied in nursing practice. They will learn how Health Information Systems (HIS) are used to manage patient data, automate workflows, and provide insights for clinical decision-making, ultimately improving patient-centered care.
Students will gain an understanding of how Health Information Systems (HIS) are essential in modern healthcare. By improving the management and sharing of patient data, HIS play a pivotal role in enhancing patient care and optimizing clinical workflows.
The integration of Clinical Decision Support Systems (CDSS) in healthcare settings helps ensure that patient safety is prioritized. Students will learn how these systems provide clinicians with real-time, evidence-based recommendations to enhance decision-making and reduce the risk of errors.
Consumer Health Informatics (CHI) is becoming increasingly important in nursing practice. This week, students will explore how CHI tools and resources empower patients to take charge of their health, from accessing medical information to utilizing telemedicine platforms.
The use of technology to manage healthcare data is essential to modern patient care. Students will discuss the role of Data Management in Healthcare and how it impacts clinical outcomes, patient safety, and the delivery of patient-centered care.
In conclusion, HSN/376 provides a comprehensive exploration of how technology is reshaping the healthcare landscape, particularly in nursing. Students will leave the course with a deep understanding of Health IT Systems, Nursing Informatics, and the role of AI and Clinical Decision Support Systems in improving patient care.
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