Health Informatics—MS

Artificial Intelligence in Healthcare Certificate

3 Classes, 2 Semesters. Online or On Campus

The Artificial Intelligence in Healthcare certificate program can be pursued completely online.

| Healthcare Revolutionized by Data

The healthcare industry will produce 2.3 trillion gigabytes of nonstructured data in 2020 alone by some estimates, a figure that increases 48% each year.

This flood of data, along with a pressing need to address industry inefficiencies, poises the healthcare industry for a quantum leap in digital innovation. Artificial Intelligence (AI) and machine learning hold the keys to significantly improve healthcare efficiencies, reduce costs, and safeguard the health and privacy of millions of people.

This exploding career sector needs professionals of many kinds to support, grow, assess, research, teach, and implement AI  healthcare solutions. The field is young and opportunities are plentiful and well-compensated.

New, innovative software solutions and cutting-edge research to overcome these challenges are being developed and implemented now, and there is  room and need for new ideas and innovation.

| Curriculum: Artificial Intelligence

Artificial Intelligence in Healthcare Certificate

As a health informatics professional, you'll merge your knowledge of patient care with your understanding of artificial intelligence concepts, methods, and tools to:
  • Work with providers, healthcare professionals, and patients to assess and implement information solutions.
  • Characterize, evaluate, and refine clinical processes.

  • Develop, implement, and refine clinical decision support systems.

  • Lead procurement, customization, development, implementation, management, evaluation, and continuous improvement of clinical information systems such as electronic health records and order-entry systems.


| 3 Classes. 2 Semesters.

AI in Healthcare

3 Classes, 2 Semesters

The 9-credit Artificial Intelligence in Healthcare Certificate can be completed over two semesters, and totally online if you wish.  You'll complete required coursework, then work with your academic advisor to select the elective that fits your primary area of interest.

| Healthcare needs AI experts now.

Many AI software tools are already in use, optimizing organizational resources, enhancing clinical quality, and detecting healthcare fraud. Clinics, physician practices, corporations, government agencies, and insurance companies are using AI to manage the growing volume and complexity of patient care data across the range of healthcare services.

Using AI effectively, however, faces some big challenges. Much of the rich store of healthcare data is still siloed, uncollected, non-structured, or otherwise inaccessible, and this data must be coordinated with large amounts of structured data, like billing claims and laboratory results.

| Required Courses: 6 Credits

Jump-start your heath informatics knowledge with these two building-block courses. There are no prerequisites, so you can get started right away.

SAT 5114 - Introduction to Artificial Intelligence in Health

This course introduces students to clinical data and artificial intelligence (A1) methods in healthcare. Health AI topics such as risk prediction, imaging, natural language processing of clinical text, and the integration of AI into the clinical environment are covered.

  • Credits: 3.0
  • Lec-Rec-Lab: (0-3-0)
  • Semesters Offered: Fall, Spring - Offered alternate years beginning with the 2019-2020 academic year
  • Restrictions: Must be enrolled in one of the following Level(s): Graduate

SAT 5424 - Population Health Informatics

This course explores the foundations of population health informatics, including information architecture, data standards and confidentiality. We will examine key concepts related to registries, electronic health records, epidemiological databases, biosurveillance, health promotion, and quality reporting in population health management.

  • Credits: 3.0
  • Lec-Rec-Lab: (0-2-2)
  • Semesters Offered: Spring, Summer
  • Restrictions: Must be enrolled in one of the following Level(s): Graduate
  • Pre-Requisite(s): SAT 5001 and SAT 5114

| Elective Coursework: 3 Credits

Once you've completed SAT 5114 and SAT 5424, talk with your advisor about which elective course make sense given your primary area of interest, career goals, coursework, and experience.

SAT 5141 - Clinical Support Modeling

Course addresses complex medical decisions, evidence-based medicine, disease management and comprehensive laboratory informatics. Topics include improving physical order entry and healthcare, using medical literature, clinical case discussions, meaningful use of medical data, enhancing patient and care-giver education, disease prevention, and public health and environmental health informatics.

  • Credits: 3.0
  • Lec-Rec-Lab: (0-3-0)
  • Semesters Offered: Spring
  • Restrictions: Must be enrolled in one of the following Level(s): Graduate
  • Pre-Requisite(s): SAT 5114

SAT 5151 - Application Integration and Interoperability

Defines and explains the role of interoperability in the development of a functioning EHR. Analyzes predominant standardization in the healthcare field such as ASTM and HL7. Examines the challenges to the development of interoperability in healthcare.

  • Credits: 3.0
  • Lec-Rec-Lab: (0-2-1)
  • Semesters Offered: Fall
  • Restrictions: Must be enrolled in one of the following Level(s): Graduate

SAT 5990 - Special Topics in Medical Informatics

Medical informatics topic of interest to the faculty and student.

  • Credits: variable to 3.0; Repeatable to a Max of 12
  • Semesters Offered: On Demand
  • Restrictions: Permission of instructor required; Must be enrolled in one of the following Level(s): Graduate

The data revolution is here. It's beautiful.

  • 9
    total credit hours to complete certificate
  • $0
    applying online is always free
  • 1
    stackable security and privacy in healthcare certificate