2023-2024 Course Catalog
Master of Science in Healthcare Informatics (MHI)
As of October 1, 2022, the Master of Healthcare Informatics (MHI) program is no longer accepting applications. All currently enrolled students will progress through the program to completion. Students interested in this program should explore our online Master of Business Administration with Healthcare Management track.
Students completing this master's degree will be able to:
- Demonstrate the skills necessary to integrate technology and use information systems to support evidence-based decision making.
- Analyze current regulations and practices around healthcare and clinical data.
- Perform data analysis and report-writing related to both patient and/or system outcomes.
- Analyze workflow processes in various clinical settings in order to improve the healthcare delivery process.
- Manage communications and relationships between system developer and interprofessional clinical users to support system and patient outcomes.
Students are required to complete 10 courses for a total of 30 credits. Within the 10 courses, students must take seven required courses HCI 504, 505, 507, 631, 651, 583, and 586. Students must select three elective courses from the following list: HCI 502, 503, 506, 525 and 584 (with academic advisor’s approval). Each course is a 3-credit course.
HCA 500 Data Literacy and Analytics (3 credits) or HCA 501 Analytics Leader (3 Credits) course, BUT NOT BOTH, is an accepted course option for HCI 502, HCI 503 or HCI 506 within the MHI Graduate Program.
Required Courses: HCI504 Project Management
Explores project management from a strategic perspective, focusing on the development of leadership skills and evidence-based decision making. Explores management techniques of various business projects including project estimation, fiscal management, continuous quality improvement, and diverse project management tools.Specifically delves into use of information technology to improve healthcare outcomes.
3 HCI505 Foundational Data Analytics
This course explores data literacy, visual literacy and how outcomes are dependent upon the integrity of data, the analysis of data and the need for clearly defined report writing. Students will manipulate data for analysis and interpretation in order to effectively conduct and/or contribute to data analytics projects.
Pre-requisites Complete the following course:
- HCI651 Database Management for Evidence-Based Decision Making
3 HCI507 Informatics Immersion
This course leads students to combine management and technical skills to solve real problems regarding healthcare information systems and use of technology in a healthcare setting. The immersion project requires the application of principles in health systems, information technology, healthcare delivery and project management. Students must complete 80-100 internship hours.
3 HCI631 Integrating Technology into a Healthcare Environment
This course will introduce students to key factors to be considered when integrating new technology within a healthcare environment. Understanding how to successfully create change, define current process, design future processes and complete a gap analysis using the four stages of a systems life cycle to successfully integrate or change technology.
3 HCI651 Database Management for Evidence-Based Decision Making
This course will assist the student in understanding the various database systems used within a healthcare setting. Key to this course is understanding how healthcare professionals can collect and extract data from database systems to assess the organizations performance and impact on patient outcomes.
3 HCI583 Virtual Engagement to Improve Health
This course introduces students to a virtual world where technology is driving change, impacting the way healthcare is delivered and managed through the use of the Internet, social media and mobile technologies. Students will engage in virtual activities that transform the traditional roles of interprofessional healthcare providers.
3 HCI586 Cybersecurity
Students will explore the cybersecurity needs within a health-related organization’s IT infrastructure. Core concepts to be reviewed include cyber frameworks (exploitation, defense, threats etc.), cryptography, malware, and hacking. Students will gain a foundational awareness of the technical and managerial competencies needed to protect and secure database systems and information infrastructures.
3 Electives - Choose 3 HCI502 Healthcare Delivery Systems
In this course, students will be engaged in dynamic content to gain an understanding of the role of information systems within healthcare delivery. The course provides an introduction to the use of information technology, information systems, data, and informatics in regards to health care delivery system entities and functions.
3 HCI503 Informatics Foundation and Health Care Technology
This course will assist students to develop a strong foundation of knowledge in understanding the impact technology and informatics has in the delivery of care across various settings. Student will be introduced to current and emerging technologies while exploring the impact on patient outcomes and staff satisfaction.
3 HCI506 Health Policy and Informatics
This course will explore health care policy and how it relates to informatics. Students will describe the history and development of health care policy while comparing U.S. health care policies to other countries. Legal, privacy, storage, and security issues will be discussed regarding healthcare and genomic data.
3 HCI584 Telehealth I
This is a foundational course that introduces students to telehealth services. Core concepts to be explored include telecommunications, technology infrastructure, and basic business requirements of implementing a telehealth service. Students will be introduced to designing telehealth encounters that promote health and wellness for both clinicians and consumers.
3 HCI525 Advanced Analytics
This course builds upon HCI505 by assisting students to advance their knowledge and skills regarding analytical methods. Using tableau, students will obtain a higher level of understanding in applying and manipulating advanced visual analytics while being introduced to machine learning with "R".
Pre-requisites Complete the following course:
- HCI505 Foundational Data Analytics