Health Informatics (HI)

HI 3310. Health Informatics.

This course will provide an introduction to health informatics and health information management, emphasizing the foundational technologies, systems, and standards that support modern digital healthcare delivery. Students examine hardware components, systems architecture, operating systems, software applications, artificial intelligence and electronic health record (EHR) systems while exploring information integrity, data quality, clinical vocabularies, and health information exchange. Through applied learning activities, including data analysis with Excel, evaluation of administrative and clinical information systems, and discussions on security and consumer informatics, students develop competencies in health data literacy, data structure, health informatics, and analytics.

HI 3311. Databases in Healthcare.

This course will introduce healthcare professionals to information integrity, data types, data quality and accuracy, different types of data analytics, data dictionary development, data repositories, and data warehouses. Various data sources that populate the electronic health record and examples of data mining are presented. The American Health Information Management Association data quality management model characteristics and how they apply to data collection are examined. Fundamental database concepts are taught using a widely adopted desktop database platform as a practical learning tool to facilitate hands-on application of concepts. Students create a database, tables, entity relationship diagrams, queries, forms, reports, and basic SQL commands. Prerequisite: [ISAN 1323 OR CS 1308] AND [HP 3302 OR PSY 2301 OR MATH 2328 OR SOCI 3307 OR CJ 3347] with a grade of "D" or better.

HI 3321. Population, Public, and Precision Health Informatics.

This course will provide an overview of how informatics principles and practices apply to three similar, but distinct areas of population health, public health, and precision health. Students will explore how health informatics and data analytics apply to foundational topics including health disparities, social determinants of health, behavior change strategies, and digital patient engagement. Students will examine how Augmented Intelligence (AI) is being used to improve efficiency and health outcomes in many different aspects of health care.

HI 3323. Electronic Health Records & Clinical Decision Support.

This course explores clinical decision support (CDS) systems and electronic health records (EHR), focusing on the role of information in healthcare delivery and decision-making by providers and patients. Students examine key electronic health record tools and techniques, knowledge base development and maintenance, usability considerations, and evaluation methods for CDS systems. Students also examine the various ethical and legal challenges in CDS implementation, patient portals and consumer informatics, as well as best practices for optimizing system effectiveness.

HI 3324. Change Management & Workflows in HIIM.

This course examines change management principles and workflow analysis methods within health informatics and health information management contexts. Students analyze organizational change frameworks, including Kotter, ADKAR, and Lewin models, to assess their application in health information technology implementations. Through hands-on exercises using process mapping tools, students create workflow diagrams, conduct stakeholder analyses, and develop communication strategies for technology adoption initiatives. Students apply workflow analysis techniques to evaluate clinical and administrative processes, identifying opportunities for improvement in electronic health record and health information system implementations.

HI 4325. Health Data Standards and Interoperability.

This course will focus on the standards, architectures, and policies that enable the secure, accurate, and meaningful exchange of health information across systems and organizations. Students examine the structure and application of core interoperability standards, including Health Level Seven (HL7) Version 2, HL7 Version 3, Fast Healthcare Interoperability Resources (FHIR), and the Clinical Document Architecture (CDA). Supporting terminologies such as the Systematized Nomenclature of Medicine–Clinical Terms (SNOMED CT) and Logical Observation Identifiers Names and Codes (LOINC) are introduced in the context of semantic interoperability. Emphasis is on interoperability models, health information exchange (HIE), application programming interfaces (APIs), data mapping, and national frameworks such as the Trusted Exchange Framework and Common Agreement (TEFCA). Students apply interoperability principles to evaluate system capabilities, data quality, and compliance with industry and federal expectations.

HI 4326. Advanced Health Data Analytics.

This course introduces contemporary methods and advanced technologies used in health informatics and health data analytics. Students examine how emerging analytic tools and digital health technologies support data-driven healthcare delivery and improved patient outcomes. Topics include big data analytics, predictive analytics, cloud computing, mobile health, telemedicine, clinical decision support systems, machine learning, and artificial intelligence. Emphasis is placed on applying informatics technologies to analyze healthcare data, support clinical decision-making, and evaluate remote models of care delivery. Through applied activities and case studies, students develop practical skills in using cloud-based analytics tools and emerging informatics technologies to interpret health data, improve care processes, and support evidence-based healthcare management.

HI 4327. Applied Health Informatics.

This course examines the practical application of health informatics principles across healthcare delivery settings. Students analyze electronic health record systems, clinical decision support tools, and health information exchange standards to evaluate their implementation in clinical and operational workflows. Through hands-on exercises with informatics technologies, students apply data analytics techniques to healthcare datasets and assess interoperability solutions using industry-standard protocols. Students also examine population health informatics, telehealth applications, and information governance strategies, developing the technical and analytical competencies required for health informatics practice in various organizational contexts.

HI 4401. Advanced Health Informatics and Security.

This course examines the integrated use of health information technologies across healthcare organizations and analyzes their influence on clinical and administrative operations. Students evaluate how information systems support workflow, decision making, and organizational performance while assessing planning, assessment, and implementation processes for health information technology, including system selection and integration. Additional emphasis is placed on identifying vulnerabilities, applying risk assessment methods, and evaluating security controls and compliance frameworks that safeguard electronic health information across various organizational environments.

HI 5321. Health Systems and Population Health for HIIM.

This course examines the structure and function of health systems and their impact on population health informatics. Students explore key topics including the business of healthcare, health disparities, social determinants of health, and the roles of public and population health informatics initiatives. Additional focus is placed on applying health data for behavior change strategies, patient engagement, case management, and disease management. The course also covers behavioral health, substance use, and the integration of healthcare technology and research in improving health outcomes from a health informatics perspective.

HI 5326. Advanced Technology in Health Informatics.

This course examines advanced technologies used in health informatics and health data analytics. Students explore safe information exchange, big data and predictive analytics, mobile health, telemedicine, clinical decision support, cloud computing, machine learning, and artificial intelligence. Emphasis is placed on how these tools enhance clinical decision-making, streamline workflows, and improve healthcare outcomes. Through applied activities and case-based learning, students gain practical experience using innovative digital health solutions to address complex challenges in contemporary healthcare environments.

HI 5327. Advanced Applied Health Informatics.

This course examines advanced health informatics practice with emphasis on enterprise system analysis, strategic leadership, and organizational transformation. Students analyze health information architecture requirements and propose integration approaches using standards-based methods to support enterprise-wide data sharing. Through applied projects, students evaluate artificial intelligence and machine learning approaches for clinical decision support, create governance frameworks for health information management, and formulate strategies for digital health transformation. Students synthesize informatics evidence to produce strategic recommendations that align technology initiatives with organizational objectives and advance health outcomes across populations.

HI 5345. Geospatial Data Analysis for Healthcare.

This course introduces key concepts and terminology and explore fundamental and advanced methods for geospatial data analysis in healthcare. Students learn to analyze healthcare data sets using geospatial programming languages and software tools to monitor and evaluate health outcomes. Key topics include geospatial analytics, data visualization techniques, spatial pattern identification, and mapping for decision‑support. Emphasis is placed on applying geospatial methods to real‑world health challenges to enhance understanding of population health trends, resource allocation, and healthcare accessibility.

HI 5393. Program and Project Management for HIIM.

This course will examine program and project management principles within health informatics and health information management contexts. Students evaluate project management methodologies, including PMBOK, Agile, and hybrid approaches, to assess their application in healthcare technology implementations. Through case-based analysis and applied exercises, students develop project charters, risk management frameworks, and stakeholder communication strategies for complex health IT initiatives. Students also analyze IT governance structures and portfolio management approaches, formulating strategic recommendations that align technology investments with organizational objectives and support successful program outcomes across healthcare enterprises.