MS in Health Informatics & AnalyticsCurriculum

This course introduces students to the concepts of health, the organization and delivery of health services, and the role and impact of health informatics and health systems in health care. The population and medical models of health, the concepts of population health and population health management, and the role of policy, financing and quality initiatives are explored in the context of stakeholder analysis. Review of metrics, measures and public sources of data underscore the evaluation and application of Health Information Technology, data analytics and health informatics to improving health and health care delivery.

This course introduces the student to the study of legal and ethical principles related to patient care and health information; legal terminology and procedures; court systems; and liability of health care providers. Legal and regulatory requirements governing policies designed to safeguard and maintain health information will be explored. Students will explore legal and ethical issues by applying problems solving and decision-making models to selected case studies.

The course integrates key issues and techniques surrounding technical infrastructure and data architecture in health informatics, and the role of information standards and ontologies in health care.

This capstone course addresses the process of transforming data to information, knowledge, and practice in a healthcare setting. An operations management challenge that is amenable to IT intervention in a healthcare organization shall be identified and analyzed. It provides integrative experience for students to apply knowledge and skills that they have obtained in prior classes. The course emphasizes individual engagement of each student and provides a team-based forum through which each student can engage in identifying, analyzing and solving a real-world health informatics challenge. As part of the learning process, the students explore the IT options for resolution of the challenge and then presents a strategy for affecting a positive result in addressing the challenge. A lifecycle framework will be used to guide the students to integrate and apply various knowledge and skills acquired from prior classes in conducting their analyses. The aim of the course is on changing perspectives and stimulating system and critical thinking, rather than memorizing concepts. The course presents a balanced approach between strategic and operational perspectives, between business, clinical and technical domains, and between conceptual and hands-on learning.

This course examines the defining characteristics of IT projects and introduces a variety of relevant techniques. The course includes project manager functions like managing scope, time, quality, and cost.

After this course, students will be able to understand the critical issues involved in managing IT projects, manage the key areas of an IT project as identified by the Project Management Institute's (PMI) Project Management Body of Knowledge (PMBOK), create a comprehensive IS project statement of work (SOW), track and control IT project execution using earned value analysis techniques, understand the essential elements involved in closing a project, apply the basic concepts and principles of project quality and process management such as the capability maturity model (CMM) framework and assessment, understand the basic concepts of agile project management, and work effectively on a team to plan, control, and complete a project.

Software: Microsoft Project 2016

This course addresses various important aspects of healthcare analytics, processes and tools that can be utilized. Data generated via health information technology (HIT) can help organizations gain significantly deeper insight into their performance than previous technologies (or lack of technologies) allowed. Yet, this isn’t easy. Healthcare organizations face the threat of information overload as nearly every step of healthcare becomes computerized and creates data. This includes not just data created from electronic health records (EHR) and patient portals but also medical devices, equipment tracking and scheduling systems, lab systems and many more. This course investigates the many ways to centralize and analyze large amount of data in order to harness the immense power of this information for better decision making.

Software: Tableau, IBM Watson Analytics

This course will familiarize students with methods used to assess the quality of care using outcomes data, and to understand and evaluate studies involving health care outcomes. Students are exposed to the mechanics of hospital quality evaluation and challenged to evaluate the medical and health services research literature on health care quality and outcome evaluations. This course exposes the student to several aspects of Health Analytics. We investigate data cleansing and transformation, and supervised and unsupervised data mining techniques to investigate quality of care and health outcome measures.

Software: Excel, Rapidminer, R, Python

This course will introduce students to information systems in health care, its use and applications in clinical practice and research. It will explore many facets of Health Information Technology (HIT) used in a clinical context by examining the challenges for information collection, use and application in healthcare settings. It will incorporate a wide range of topics including, but not limited to electronic health records, clinical decision support systems, privacy, telemedicine, health information exchange, and personal health records, their associated terminology and factors for successful implementation in clinical settings. The course will also cover potential value of these systems to care delivery and quality, as well as considerations related to return on investment. It will explore aspects of system design and selection, deploying and maintaining these systems (costs, adoption, value proposition, integration into workflow, feasibility, and training).

Software: Electronic Medical Record (EMR) System Software

Consumer health informatics (CHI) is a field that aims to give individual health care consumers, as well as their families and communities, the information and tools that they need to become more involved in their health maintenance and care. This class will focus on the consumer health informatics associated with health services addressing the intersection of the patient, information technologies, and healthcare practice. This view of informatics analyzes consumers' needs for information; studies and implements methods for making information accessible to consumers; and models and integrates consumers' preferences and capabilities (e.g., health information literacy) into health information systems. This view also recognizes the changing expectations of health care consumers in managing their health status using new models of care (e.g. collecting patient reported outcomes and on-demand telemedicine) supported by technology.

Software: Extensio, Balsamiq

This course will help students critically think about how to conceptualize and model databases, and use query languages to manipulate databases to obtain information that can help a manager make decisions. The course takes a transaction-based (OLTP) data-oriented view embedded in the larger processing view. The course is driven by reading assignments, problem-solving exercises, and case exercises. At the end of course, students should be able to extend their learning to new domains and applications and to communicate their database knowledge.

Software: SQL, Visio, Lucidchart, Access, Neo4j, Tera

This course covers the regulatory, technical and organizational aspects of privacy and security in health care settings. Information security in health care is regulated by a complex of federal and state laws and regulations, by the technical requirements of cybersecurity and by executive management decisions on dealing with risk to information technology and workforce training in security. Introducing students to this important area requires that all three security settings are addressed and integrated to demonstrate how regulatory, technical and organizational factors all impact information security and compliance.

Upon successful completion of this course, students will be able to use a variety of statistical principles and methods, including qualitative and quantitative techniques, to evaluate healthcare-oriented research problems and to make evidence-based decisions. They will understand how to identify a process, define key performance measures, collect data, organize it using Microsoft Excel, analyze it using Excel’s statistical functions, and present their findings using appropriate graphs and charts. They will apply these skills to various healthcare-related research and practice-oriented situations and use the right tool at the right time to make data-driven decisions.

Software: Excel, SAS, Rapidminer

Seminars will focus on building soft skills such as leadership, team building, presentation skills, and career exploration. Students will also have a chance to complete the Lean Six Sigma Yellow Belt certification while in the program.

** Option to take HIM 6858C Health Informatics/Analytics Practicum instead (proposed by student & subject to department approval).

HIM 6858C Health Informatics/Analytics Practicum: Program enabling masters-level students to work in jobs significantly related to health informatics and/or analytics, their major area and career goals. This course will afford students the opportunity to gain real-world experience through internships with businesses.

Get Started Today!

Request more information, get your questions answered and be invited to special events.


By submitting this form, I authorize the FIU College of Business to contact me. Learn more about our Privacy Policy.

Back to top