MS Medical Informatics

The Master of Science in Medical Informatics is a program that helps the students in preparing for better opportunities in the field of medical informatics, patient care delivery. It is quite an exciting field and Queensville University receives quite high numbers of enrollments in this field annually. Beginning from designing all the way to implementing the electronic systems of record, the course works include all the specifics of the professional management in this field.

The program includes research based projects which allows for a better understanding of medical informatics and an in-depth learning and exploration of current and emerging concepts in the health IT systems. The learning goes side by side with basic skill development of the students including change management and communication.

 

What will you learn from this course

Through this Masters program you will be able to do the following:

  • You will work on research based project.
  • You will able to apply engineering principles within and outside the classroom
  • Develop skill set relevant to employers need
General studies
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Information Research Strategies 2 Introduction to information research including electronic resources. This course is designed to help researchers locate, evaluate, and use information. It includes exploration of the research process, search strategies, locating resources, source documentation, and organization of research.
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Introduction to Medical Informatics 2 Course covers fundamental subjects such as medical decision support systems, telemedicine, medical ethics and biostatistics. Topics include consumer health informatics, international health care systems, global health informatics, translational research informatics and homecare. Students will see medical informatics from diverse perspectives. Scientific writing and communication will be encouraged.
Essentials of Health Information Management 2 Focuses on the description of health care delivery and contents of medical records, provides skills and professional training at the field of Health Information Technology, hands on familiarity with health care facilities settings, with a comprehensive study of automated health and medical information systems, and detailed study of health information at ambulatory services, diagnostic departments and inpatient floors. It also provides hands on training on numbering, coding, medical abstract and records analysis and medical auditing.
Introduction to Medical Sciences and Human Patho-physiology 2 Course provides basic concepts in medicine and human pathophysiology to introduce a molecular understanding of human metabolism and disease. Topics also include physical examination of patient, taking medical history, laboratory medicine, disease management and treatment, medical diagnostics, clinical workflow, and medical special/subspecialities.
Human Anatomy 2 Detailed illistrated Study of Human Body's Systems including enfant, male an d female bodys
Physiology 2 covers closed study of human body systems functions, functional disorders with full study of organs behavior and effect to other systems, functional illness and causes of death
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Medical Terminology 2 Systematic study of medical terminology from the basis up to professional skills understanding compound medical terms.
ICD 9 CM 2 Hands on coverage of the international coding of deseases, procedures and causes of death using clinically modified coding reference both manual and automated
Lean Six-Sigma 2 includes enhancing customer satisfaction; maintaining a safe, clean, and organized workplace; utilizing an effective logistics, scheduling, and shipping system; deploying facilities, raw materials, and technology effectively; managing incoming, work-in-process, and finished goods inventory levels; employing and motivating talented people; and maintaining equipment and facilities; all while providing a quality product or service that customers desire. A leader's ability to manage in a complex environment is crucial to their organization's success. Quality, productivity,
Data Mining And Medical Knowledge Management 2 presents case studies on applications of various modern data mining methods in several important areas of medicine, covering classical data mining methods, elaborated approaches related to mining in electroencephalogram and electrocardiogram data, and methods related to mining in genetic data. A premier resource for those involved in data mining and medical knowledge management, this book tackles ethical issues related to cost-sensitive learning in medicine and produces theoretical contributions concerning general problems of data, information, knowledge, and ontologies.
Health Care Politics, Policy and Services 2 Presents an overview of the factors which govern and affect the development of health care policy in America.
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Security and Privacy 3 Examines key health information security, policy, and procedures. Investigates how to distinguish elements of a security audit and key security policies. Analyzes the roles of people maintaining health information security and explains elements of these roles within the organization.
Clinical Decision Support and Improving Healthcare 3 Course addresses complex medical decisions, evidence-based medicine, disease management and comprehensive laboratory informatics. Topics include improving physicial 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.
Data Warehousing and Business intelligence 3 Identifies database solutions and key elements of an enterprise data warehouse. Explains how to apply best practices for development of data warehouses, the role of business intelligence and data mining in supporting the strategic business decision process, and OLAP (Online Analytical Processing) and its use in reporting and analyzing database and data warehouse information. Defines security practices for a data warehouse environment.
Statistical Methods for Intrusion Detection 3 An introduction to the data and methodologies of computer intrusion detection. Focuses on statistical and machine learning approaches to detection of attacks on computers. Topics include network monitoring and analysis, network-based attacks such as probes and denial of service, host-based attacks such as buffer overflows and race conditions, and malicious code such as viruses and worms. Statistical pattern recognition methods will be described for the detection and classification of attacks.
Designing Security Systems 3 Provides an overview of techniques used in the design of secure systems with a primary focus on real-world case studies. Students will examine attacks on deployed systems and investigate how these vulnerabilities have been addressed. Practical advantages and shortcomings of several notions of provable security will also be examined. Students will be expected to read, understand, and present recent research papers.
Healthcare Security Management 3 Addresses information security in the public health and medical fields, with special emphasis on clinical care, research, and the role of the academic medical center. Also focuses on disaster recovery and response, anonymization of records, billing, communication of public health information to EHRs, along with physical and administrative security.
Health Care Ethics 3 Examines the legal and ethical issues affecting health care delivery in America including abortion, organ donation and transplantation, termination of life support, rights of the terminally ill and consent issues, state and federal regulation, and patient and provider relationship.
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Thesis 3 An independent research and scholar reporting on a selected topic specifically selected from related subjects. The department schedules and coordinates a number of seminars to assist students selecting the topics and to fine tune their work up to reporting. Credit is granted based on the quality of final product after evaluation of correctness, simplicity and clarity, amount of work done, amount of references and materials used and optimality factors.