| Purpose 1 | Purpose 2 | Purpose 3 |
|---|---|---|
| HIP 510 Introduction to Health Informatics and Health Information Systems |
HIP 620 Clinical Informatics |
HIP 730 Health Care Information Technology Project Management |
| HIP 511 The Business of Health Informatics |
HIP 621 Introduction to Data Mining and Visualization |
HIP 731 Artificial Intelligence in Healthcare |
| HIP 512 Security and Privacy in Health Informatics |
HIP 622 Database Management Systems |
HIP 732 Analysis and Reporting in Healthcare |
| HIP 513 Biomedical Sciences and Health IT |
HIP 623 Leading and Managing Clinical Information Systems Projects and Change |
HIP 733 Big Data and Information Systems |
Introduction to Health Informatics and Health Information Systems
This course provides a comprehensive introduction to health informatics and health information systems. Students will gain an understanding of the theory, processes, and applications of health information systems and how they relate to health practices, policy, and management. Students learn how the application of informatic skills can advance individual health, healthcare, and health-related research.
Introduction to Data Mining and Visualization
This course is intended to provide students with a general overview of data mining and data visualization concepts to generate, evaluate, and present statistics in healthcare. Students will visualize healthcare statistics using Microsoft Excel and R-Project (open-source statistical software) and utilize hands-on examples using real-world data. Students will develop data gathering, analysis, and presentation skills.
The Business of Health Informatics
This course is structured to equip students with the information knowledge they will need to apply health informatics for successful outcome in different allied business healthcare environments. The course provides a comprehensive look at how data-driven insights can be applied in health IT spaces to increase quality of healthcare and improve business outcomes. Students will gain knowledge about proactive planning, effective communication, digital strategies for improving education, data flow in healthcare business systems, evidence-based practice, clinical decision support, digital health, evolution of e-Patient, and how to improve patient engagement using health informatics. This course will also on the implications of interoperability, innovation, and data governance and the critical role health informatics supports in those initiatives.
Security and Privacy in Health Informatics
In the rapidly evolving landscape of healthcare information technology, safeguarding patient privacy and maintaining robust, proactive information security programs are critical. This course will equip students with the knowledge and skills necessary to address these challenges in healthcare. This course explores the fundamental principles, regulatory standards, and practical techniques required to ensure the secure transmission of health information while preserving patient confidentiality, with special focus on navigating HIPAA implications on both security and privacy. Ethical considerations will be explored in health informatics. The course concludes with a look at future trends and cybersecurity threats in healthcare.
Clinical Informatics
Although our healthcare system is complex and fragmented, only 0.2%–0.3% of US healthcare expenditures support health services research; in contrast, the automobile industry spends 2000% more on research. This course introduces students to the principles fueling the science of healthcare delivery and the role of clinical informatics within that framework. Students will learn how to use various tools for healthcare improvement and how to use analytics to improve the quality and safety of healthcare.
The first half of the course will focus on the healthcare environment, the defects in care, and the tools needed for healthcare improvement. The second half of the course will focus on how we can use clinical informatics—the data, analytics, and interpretation—to discover issues to improve care.
Biomedical Sciences and Healthcare IT
This course provides students with a basic and practical understanding of biomedical concepts and health informatics. Students will learn how to measure common disease processes, diagnostic modalities, and treatments. This course is intended to help students critically evaluate how IT tools to assist medical researchers and professionals as they integrate multiple sources of information to make diagnostic and therapeutic decisions.
Database Management Systems
This course offers a comprehensive introduction to the use of database management systems and the benefits they provide within healthcare settings. Students will explore the intersection of healthcare, information technology, and data management techniques, including an introduction to SQL, PHP, and other database query tools.
Leading and Managing Clinical Information Systems Projects and Change
This 14-week graduate course serves as a comprehensive capstone experience, immersing students in the intricacies of leadership, change management, and the successful adoption of clinical information systems. In an era where healthcare organizations increasingly rely on technology to enhance patient care, streamline
operations, and improve decision-making, skilled professionals capable of navigating the complex landscape of clinical information systems are in high demand.
In this course, students will explore core project management areas, including initiation, planning, execution, quality improvement, training, and transformation. Through the analysis of real-world healthcare projects, students will apply project management principles and optimization techniques to assess project success. The course culminates in a research project that integrates skills and insights, empowering students to drive innovation in healthcare delivery and enhance patient care.
Artificial Intelligence in Healthcare
This course delves into the transformative role of artificial intelligence (AI) in the healthcare industry. Students will explore how AI technologies are reshaping healthcare delivery, from predictive diagnostics to personalized treatment plans. Through a combination of theoretical knowledge and practical applications, students will gain a deep understanding of the potential, challenges, and ethical considerations associated with AI in healthcare. By the end of the course, participants will be equipped to harness AI to drive innovation, efficiency, and improved patient outcomes within healthcare organizations.
Analysis and Reporting in Healthcare
The Institute of Medicine (www.nam.edu) identified the ability to utilize informatics as one of the needed changes in our healthcare system to improve medication safety and patient outcomes. This course is intended to provide students with an overview of analysis and reporting in healthcare using the data contained in available administrative and other pertinent databases. We will spend most of our time learning how to understand and transform these data into information and knowledge. The course is intended to be hands-on with real-life examples. The goal is not to produce professional coders but to introduce healthcare professionals to the capabilities of available reporting packages so that they may, at the very least, understand what to ask developers for and, ideally, use these products efficiently and effectively in their careers.
Big Data and Information Systems
In the realm of healthcare administration, understanding Big Data and its impact is crucial. This course delves into the features, applications, analysis approaches, and challenges of Big Data in healthcare administration. Big Data in healthcare possesses distinctive characteristics, including heterogeneity, incompleteness, timeliness, longevity, privacy, and ownership. These unique features introduce a set of challenges related to data storage, mining, and sharing, all of which play a pivotal role in advancing health-related research.