HIF 710. Foundations of Health Informatics and Applied Artificial Intelligence. (3 h)
A foundational course that introduces the evolving intersection of healthcare, health informatics, data-driven decision-making, and applied artificial intelligence (AI). The course prepares learners from clinical and business backgrounds to understand how digital transformation and AI are reshaping healthcare delivery, operations, population health, and organizational strategy.Core principles of health informatics, healthcare data ecosystems, clinical and operational workflows, electronic health records (EHRs), healthcare analytics, AI applications, ethics, governance, interoperability, and leadership implications will be explored. Emphasis is placed on translating technological innovation into practical healthcare improvement.
HIF 712. Population Health and the American Healthcare System. (3 h)
Overview of healthcare delivery in the United States and Population Health.
HIF 714. Applied AI in Digital Health. (3 h)
Examines the application of artificial intelligence in digital health, including mobile health, telehealth, wearables, Internet of Medical Things, patient-facing platforms, predictive analytics, and AI-enabled clinical and operational tools. Emphasizes user-centered design, implementation, evaluation, privacy, safety, equity, ethics, and the effective use of digital health solutions to improve healthcare delivery, outcomes, and patient experience.
HIF 720. AI and Data Analytics for Health Professionals. (3 h)
A comprehensive introduction to the current state of the science and practice of analytics in healthcare, including how to “tell the story” the numbers present. Core competency skills are achieved using a variety of learning methods to help students apply analytic techniques and AI in supporting data mining, visualization and data driven decision making.
HIF 722. AI-Enabled Healthcare Database Systems. (3 h)
An introduction to the theory and application of database management systems.
HIF 730. Health Information Regulation, Privacy, and Security. (3 h)
This course provides a foundational exposure to legal and ethical issues related to health information privacy and security. Along with this, the basic technological considerations to meet professional obligations in health informatics practice are also explored. This theory-to- practice course will engage the student in topics such as HIPAA privacy and security, ethical issues in using patient health information as well as artificial intelligence in operations, research, and security risk assessments. Legal and ethical issues related to healthcare compliance will be studied from the framework of working in or with the health information management department.
HIF 732. Healthcare Leadership and Impact of AI. (3 h)
This course covers leadership, organizational structure, and team effectiveness in healthcare. Students will master applying leadership best practices to drive organizational success and strategic change. The curriculum emphasizes understanding ethics, health equity, motivation, power dynamics, use of artificial intelligence (AI) and mitigating the impact of unconscious biases on decision-making.
HIF 734. Quality and Patient Safety Management in Healthcare. (3 h)
This course covers the foundations for understanding and pursuing patient safety and quality of care outcomes within the current healthcare environment. Thoughtful consideration is given on how quality and safety from a global perspective can critically impact expectations within today’s healthcare environment.
HIF 751. Telehealth Today and Tomorrow. (3 h)
This course will provide an overview of the tools, techniques, and challenges associated with telehealth from an informatics perspective.
HIF 752. Artificial Intelligence (AI) in Health Informatics. (3 h)
This course will review the foundations of artificial intelligence (AI) with applications to the prevention, detection, diagnosis, and prognosis of diseases.
HIF 799. Capstone in Health Informatics. (3 h)
This course provides students the opportunity to incorporate knowledge, competencies, and skills obtained throughout the health informatics graduate program into a culminating health related capstone project. The project will be based in evidence validating the need for change as well as potential solutions for improvement that centers on quality of care, health disparities, and/or delivery of health services.