(954) 262-1038 (800) 356-0026, ext. 21038 email@example.com
Our program was among the first to partner with the American Medical Informatics Association (AMIA) to provide their 10x10 certification.
MSBI Program graduates were among the first group of physicians in the nation to become board certified in clinical informatics.
MSBI Program students have completed internship and practicum experiences at many sites including Cleveland Clinic Florida, Palmetto General Hospital, National Institutes of Health, and Mayo Clinic.
The Biomedical Informatics Program is growing with faculty positions currently available.
Our students have won the South Florida Chapter Health Information Management Systems Society (HIMSS) Scholarship three times.
As a part of the Biomedical Informatics Program’s Academic Organizational Affiliate status with the Health Information Management Systems Society (HIMSS), all full time students are entitled to a free HIMSS membership!
The Biomedical Informatics Program was ranked No. 6 out of 25 on BestMedicalDegrees.com’s 2015 list of Best Value Online Master’s in Health Informatics and Health Information Management.
NSU's Biomedical Informatics Program was was the first graduate program in health informatics in the state of Florida.
"NSU's M.S.B.I. program gave me the tools and knowledge to navigate the health informatics industry with confidence. It prepared me to provide meaningful contributions to seasoned professionals and organizations. Two years after graduation my relationship with the program is still going strong."
Teresa Blanco, M.S.B.I., (’12), Charge Services Support Analyst at Cerner Corporation
"Tons of work to reach this simple goal: 'The right information, to the right person, at the right time.' The healthcare industry is not there yet, but with programs such as NSU’s Biomedical Informatics program, it will be soon."
April M. Green, M.S.B.I., ('13), Clinical Integration Specialist at Holy Cross Hospital
"This program allowed me to gain the experience that I needed in order to follow the career path that I wanted to take."
Anthony Meglino, N.C.P., M.S.B.I.,(’14), NextGen EHR Template Developer Consultant at Dell
"The program helped me turn an adversary into an opportunity. Tenacity and a strong drive led to my success in the M.S.B.I. program and in my world."
Stephen Amoah, M.S.B.I. (’14), Ph.D. Student
"The faculty and staff of the NSU MS in Biomedical Informatics program are amazing! I was nervous to enroll in this program because I had little knowledge of the healthcare industry. With preparation from the pre-requisite courses, I was able to obtain an entry level position in healthcare. Approaching the end of the program, I was able to obtain a promising healthcare IT position, where I could effectively contribute my knowledge and skills at a large healthcare organization."
Kenneth Simpson, Current Student, Application System Analyst II at University of Maryland Medical System
"Certainly, I had such an amazing experience[with my practicum],where I could put what I've learned into practice and also I've explored other learning possibilities and gained some new skills. "
Eswald Fertil, Current Student
Congratulations to alum Tracy Eckerle for passing the ANCC Certification for Informatics Nursing!
Congratulations to student Tanny Schertzer for winning the 2016 South Florida Chapter HIMSS Foundation Scholarship!
Congratulations to student Mark Carnemolla for winning the 2011 South Florida Chapter HIMSS Foundation Scholarship!
Congratulations to alum Monty Islam for winning the 2012 South Florida Chapter HIMSS Scholarship!
Congratulations to student Jacques Orces, D.O. for passing the clinical informatics subspecialty board exam administered by the American Board of Preventive Medicine!
Congratulations to alum Danielle Oryn, D.O. for passing the clinical informatics subspecialty board exam administered by the American Board of Preventive Medicine!
Congratulations to alum James Seltzer, D.O. for passing the clinical informatics subspecialty board exam administered by the American Board of Preventive Medicine!
Congratulations to student Monica Terrazas on winning a Broward Women's Alliance scholarship!
Congratulations to alum Darnell Smith for passing the ANCC Certification for Informatics Nursing!
Congratulations to student Monica Terrazas for winning the 2017 South Florida Chapter HIMSS Foundation Scholarship!
The Medical Informatics Certificate is designed to enable students to acquire the core knowledge that applies to the fundamentals, principles, and practice of medical informatics. This certificate option consists of 18 credit hours of graduate level courses which are presented using online learning technology.
If after taking courses in the certificate program, a certificate-seeking student decides to pursue the M.S.B.I. degree, the student must submit a new and complete application to become a degree-seeking student, and must meet all requirements for admission to the M.S.B.I. program. Previous coursework taken as a certificate seeking student does not guarantee acceptance into the M.S.B.I. degree-seeking program. If accepted into the degree program, credits with the prefix MI taken as a certificate seeking student will be automatically applied towards the degree.
Gainful Employment Disclosure
Student must successfully complete:
No. of Credits: 3
Description: This on-line, interactive course is an introductory survey of the discipline of biomedical informatics. This course will introduce the student to the use of computers for processing, organizing, retrieving and utilizing biomedical information at the molecular, biological system, clinical and healthcare organization levels. The course is targeted at individuals with varied backgrounds including medical, nursing, pharmacy, administration, and computer science. The course will describe essential concepts in biomedical informatics that are derived from medicine, computer science and the social sciences.
Description: This course introduces students to theoretical, statistical, and practical concepts underlying modern medical decision making. Students will be provided a review of the multiple methods of knowledge generation for clinical decision support systems (CDSS) and create their own prototype of CDSS. Current implementations of stand-alone and integrated CDSS will be evaluated. Techniques for planning, management, and evaluation of CDSS implementations will be reviewed. Human factors, including work-flow integration, and the ethical, legal and regulatory aspects of CDSS use will be explored, as applicable to commercial implementations in patient care settings. Future models of healthcare, supported by CDSS and evidence-based medicine, will be discussed and reviewed.
Upon completion of this course, the student will comprehend the following issues and objectives:
Description: This course covers major concepts, systems and methodology in managing health care information systems. Topics will include concepts in: system implementation and support, information architecture, IT governance in health care, information systems standards, organizing IT services, strategic planning, IT alignment with the health care facility, and management's role in major IT initiatives.
The conclusion of the course students will be able to:
Description: This course covers from basic to intermediate knowledge of the concept, the design and the implementation of database applications in healthcare. Students will study tools and data models for designing databases such as E-R Model and SQL. The course also covers Relational DBMS systems such as SQL Server, Access, Oracle and mySQL. Besides, database connectivity design (essential in data-driven web development) and database administration will also be introduced.
Students will practice designing, developing and implementing a test relational online health IT database application (myHealth) through a comprehensive project that contains the above topics.
At the end of the course, student will be able to:
And any two of the following courses:
Description: This course introduces the fundamental principles of project management from an information technology perspective, with an emphasis on healthcare industry applications. Fundamental aspects of project management are covered including project integration, the management of scope, time, cost, quality, human resources, communications, and risks. Discussion also includes project management software as well as organizational management aspects such as project planning, team building, organizational structure, and control mechanisms.
Students will apply newly learned project management knowledge and skills to course assignments, thus after completion of this course, students will be able to:
Description: The course will cover concepts, applications and techniques of data security in healthcare system. Topics include introduction, design principles, intrusion detection, policy assurance, attacks and penetration, access control, risks and vulnerabilities, database security, web security, cryptography, identity theft, viruses, authentication technologies, personnel and physical security issues, and issues of law and privacy. Areas of particular focus include secure healthcare system design, implementation, data encryption and decryption, attacks, and techniques for responding to security breaches.
Upon completion of this course, students will have gained knowledge of information security and healthcare information security. Students will be able to use security tools and devices to encrypt data to enhance access control and to increase application and system security.
Description: The understanding of telecommunications and networking is imperative for adequate functioning of health care organizations. This is due to the convergence of computing, data management, telecommunications and the increasing number of applications of information technology in the health care arena and medical facilities. The knowledge of these key areas of information systems also becomes essential for competitive advantage. This course combines the basic technical concepts of data communications, telecommunications and networking with the health care IT management aspects and practical applications.
Learning Objectives: At the end of the course, the students should be able to:
Description: The need to create effective, new solutions and innovative interventions to deliver quality patient care outside of the traditional medical setting is at the forefront of society today. The basis of this course will be providing a solid educational foundation for systems design & analysis, as it relates to current and future healthcare systems. In addition, this course will build upon the fundamental systems design & analysis to explore current and future healthcare systems that will include integration of disparate clinical principles healthcare systems, mobile technologies , as well as a combination of remote-monitoring technology, sensors, and online communications and intelligence to improve patient adherence, engagement and clinical outcomes.
Description: The dynamics of human-computer interaction (HCI) directly impacts health care. This course will introduce the student to usable interfaces and the study of social consequences associated with the changing environment due to technology innovation.
Pre-Requisite: MI 5120, MI 5130, MI 5200
Description: This on-line, interactive course will introduce students to various evaluation methods for healthcare informatics systems, projects and proposals. Students will consider both quantitative and qualitative methods of evaluation as they examine the design and implementation processes.
Topics will include:
Description: This on-line course is an introduction to the management of employees in health care organizations. Students will gain a working knowledge of how to manage personal, interpersonal, and group processes by having the interpersonal skills to assume responsibility for leading and promoting teamwork among diverse stakeholders. Students will learn to manage individual and group behaviors in improving organizational productivity and performance. Through experiential learning, students will learn to integrate home, work, and educational observations and experiences and to convert them into proactive practical applications for growth and renewal.
Upon completion of this course, the student will be able to:
Description: Public health informatics is the systematic application of information and computer science and technology to public health practice, research and learning. This course focuses on developing the knowledge and skills of systemic application of information, computer science, and technology to public health practice. Students will acquire a basic understanding of informatics in public health practice, and be able to apply the skills of using some informatics tools in public health practices.
Description: The purpose of this course is to introduce students to grant development and preparation so that they can participate in the process of obtaining public or private funds to support research, education, and/or service projects.
Description: This course provides an introduction to, and overview of, consumer health informatics, mobile health (mHealth), and social media applications used in healthcare. It explores the development of consumers as ePatients and tools such as personal health records (PHRs), as well as the fluid nature of social media in medicine and the emerging area of mobile health (mHealth). Students will learn from a combination of lectures and a hands-on approach of interacting directly with the tools and technologies discussed.
Upon completing MI 6410, the student will be able to:
Pre-Requisite: MI 5120
Description: This course immerses students in the technical, business, cultural and organizational dynamics typically encountered during HIT systems selection and contract negotiation process. Real world case studies, replete with dynamic political, financial and technical roadblocks and opportunities, will be used to introduce the student to skills required to make the best cultural decisions and negotiate a viable contract.
Description: This course provides the conceptual and technical skills needed in leading health information technology. It is designed to create a profound understanding of leadership at the cognitive and action levels to enable health information leaders to optimize decision-making in the workplace. Students review remarkable leaders, organizations, and teams in order to hone their own observation, sense-making, and innovating skills in a health information setting. This leadership course reviews and builds upon the basic knowledge of leadership provided in the organizational behavior course by expanding the scope and depth of the student's knowledge of leadership theories, conflict management techniques, and by developing the student's self-knowledge of his or her preferred leadership styles.
Description: Lean Six Sigma for Health Care (Yellow Belt) participants will learn the basic philosophy, tools, and techniques to deliver breakthrough business improvements that will reduce waiting times, improve quality, and reduce costs in a health care environment. More specifically, they will learn to apply a comprehensive set of 15-20 Lean Six Sigma process improvement tools by using the PDCA (Plan, Do, Check, Act) problem solving model. They will learn techniques for both quantitative and non-quantitative analysis, as well as methods and tools for waste reduction and process enhancement and acceleration. The course also covers how to map out processes and identify sources of variation, as well as to gain a basic understanding of descriptive statistical analysis. Finally, they will learn how to perform basic pilot studies and analyze the results, in order to determine the most effective way to improve and stabilize processes. Candidates work on either an integrated health care case study or on an actual business project, and will apply classroom techniques to the project.
At the end of the course, student will be able to:
Description: This class will provide students with introductory understanding of clinical analysts' daily responsibilities and functions within hospitals. Students will be introduced to daily operations of clinical software systems and lead to understand how such systems are used by health care organizations to provide quality care services.
Learning Objectives: At the end of the course, students will be able to:
Description: Medical data transmission using wireless technologies continues to play an increasing role in the health care industry. This course introduces fundamental knowledge of telemedicine technologies. Essential aspects of wireless technologies in patient care, medical information processing, telemedicine systems deployment, safeguarding medical data and privacy, and future trends in healthcare technologies are covered. Discussions also includes technical perspectives, overview of telemedicine, planning and deployment considerations, scalability to support future growth, integration with existing infrastructure, information security, cryptography, and other critical components of telemedicine technologies.
Students will apply newly learned telemedicine technology knowledge and skills to course assignments, thus after completion of this course, students will be able to:
Description:Lean Six Sigma for Health Care (Green Belt) participants learn the skills, tools, and techniques to deliver breakthrough business improvements and cost reductions, and prepare for the Lean Six Sigma Green Belt certification exam. Lean Six Sigma Green Belt candidates will learn to function simultaneously inside two frameworks, the business framework and the Six Sigma cultural framework. They will learn to develop a comprehensive set of 15-20 Lean Six Sigma process improvement toolsets by focusing on the define, measure, analyze, improve, and control (DMAIC) approach to process improvement. They will learn techniques for both quantitative and non-quantitative analysis, as well as methods and tools for waste reduction and process enhancement and acceleration. The course also covers how to map out processes and identify sources of variation, as well as to gain a basic understanding of statistical analysis. Finally, they will learn how to perform basic experiments and analyze data, in order to determine the most effective way to improve and stabilize a process. Candidates work on either an integrated health care case study or on an actual business project, and will apply classroom techniques to the project.
Learning Objectives: After completing the course students should be able to:
Description: This course will provide students with the opportunity to learn the fundamentals of set-up and using the applications of one of the most commonly used electronic health record systems in the US, NextGen, in clinical settings. Students will be required to complete the NextGen e-learning modules before the on campus hands on training sessions.
This course is required for the competitive internship opportunity in the NSU clinics (more details to follow).
After completion of the course students will be able to:
Description: This course provides an introduction to iOS Applications (apps) development with an emphasis on health information technology projects. Topics cover iOS development environment setup, Objective C language syntax, Model-View-Controller design patterns, iOS apps lifecycle, GUI implementation, multi-touch handling, graphics processing, file handling, SQLite database handling, audio and video processing, multi-platform support for iPhone and iPad, maps displaying, and web service interfacing.
After completing this course, a student will be able to:
This course will provide students with a preliminary understanding of the theory and practice of medical image processing and analysis in healthcare. Basic concepts and fundamentals of medical image processing and analysis will be described in the course. The application of medical image processing and analysis in biomedical information systems will be discussed. Students will be introduced to the fundamentals and methodology of medical image processing, image analysis, image compression, and molecular imaging.
After completion of the course, students will be able to:
Description: This course will introduce students to geographic information systems (GIS) to map and spatially analyze public health and demographic data. Students will learn the fundamentals of the ArcMap software system and ways to integrate cartography into biomedical informatics practice. Beyond use of GIS for cartography, this course will also examine ethical issues and methods of analyzing demographic and spatial health patterns using GIS and demography analysis methods. The versatility of GIS in a public health setting will be examined and will include exercises involving GIS applications in health marketing, demography, epidemiology, and health care systems. For example, we will look at how different socioeconomic groups use urban spaces differently in terms of transportation and how these differences in navigation impact contact points for health marketing. Other issues covered in the class will be the ethics of GIS, manipulation of data, sources of data, and understanding some commonly used public health datasets such as the YRBS, BRFSS, and US Census.
Description: The course will introduce the clinical workflow analysis as a method of choice to improve clinical processes in healthcare delivery systems. Students will review the primary objectives for process improvement in clinical healthcare: outcome quality (including patient safety) and the development of health information technology (HIT) to support the Electronic Health Record (EHR) with initiatives showing a significant impact on clinical workflows (e.g. meaningful use). Students will define the functional components of the healthcare activities and learn to map on a flowchart the standard symbols used to represent all tasks and steps, decision points, resources, and outcomes of the clinical workflow. Students will apply the tools of workflow analysis by assessing a workflow in a healthcare setting using graphical representations of the workflow phases (current state, desired state), and process defects identification and classification. The course will introduce the quantitative measures of workflow improvement used in Lean Six-Sigma. Students will formalize a proposal for an intervention aimed at the modification and optimization of a clinical workflow.
Description: In the ever changing world of information and global economic competition it is crucial that individuals and organizations understand their personal as well as group talents. Today's educational, healthcare and institutional structures lack leadership and cutting edge thinking. By applying strength based leadership practices one comes to understand their own as well as the group's strengths and talents and is able to apply these practices in their daily work as well as in leadership roles. The course will produce a personal understanding of individual as well as group talents and how these evolve in individuals. Students will develop a better self-awareness of what talents and strengths they possess and how this affects personal as well as work performance. It demonstrates how leaders continue to grow and how they develop each of the group's talents to maximize the performance of the organization. The Affordable Care Act will be emphasized and students will discover what individual as well as organizational talents must be utilized to improve patient care as well as cutting health care costs.
The course will expose students to healthcare “big data” focused on current needs such as population health, outcome reporting, clinical decision support, physician quality measurement, and various other measures including CMS initiatives such as meaningful use and Medicare and payer quality reporting requirements. The course will use current real world problem scenario’s where data analytics and visualization can be applied to successfully report on and solve various problem prevalent in today’s value based payer model. Students will learn how to do large scale data mining and the infrastructures needed to support the various system designs such as Hadoop ecosystems and Hadoop based tools. The student will be exposed to the application of predictive analytics specific to healthcare with an understanding of using data to help deliver quality and safe patient care as well as data driven methods of improving care. The course will expose students to real time data analytics where data is collected and reported on around the clock. The course will also expose student to mobile data acquisition and analysis coming from various local and remote devices. This course will introduce students to data visualization methods which will teach them how to communicate analytical insights to both technical and non-technical audiences.
Upon completion of the course the student will be able to:
Test results must be sent directly from the testing agency to the center you applied. Proof of English language competency can also be in the form of successful completion of a degree at an approved U.S. institution of higher education.
Students have a maximum of five years to complete the program. The expected average completion time is 2-4 terms.
Tuition is $695 per credit hour. A Health Professions Division student access fee of $145 is required each year. An NSU student service fee of $450 is charged each term that a student is registered for 4 or more credits. Students registered for less than 4 credits in a term will be charged $225. Tuition and fees are subject to change without notice.
Books and supplies for 18 credit hours are estimated at $4,152. Room and board is estimated as follows: