ISC’s Master of Health Care Information Systems is designed for information systems professionals, health care managers, physicians, nurses, and other health professionals, as well as health care support personnel who wish to increase their knowledge regarding the use of health information to improve the quality, safety, outcomes and cost-effectiveness of delivering Healthcare.
Master of Health Care Information Systems
The first stage - Compulsory courses 72 Credits
The course includes scientific research methods related to defining scientific research and clarifying its importance, types, steps and methods. It also deals with the sources and methods of data collection and methods of data analysis as well as methods of inspection and estimation and all statistical methods that can be used in the processes of analysis and scientific research in the fields of economics and management.
This course will introduce students to health care information systems, their use and applications in clinical practice and research. It will explore the many aspects of health information technology (HIT) used in the clinical context by examining challenges to information collection, use, and application in healthcare settings. It will cover a wide range of topics including, but not limited to, electronic health records, clinical decision support systems, privacy, telemedicine, health information exchange, personal health records and associated terminology and factors for successful implementation in clinical settings. The course will also cover the potential value of these systems for delivering care and quality, as well as considerations for return on investment. It will explore aspects of system design and selection,
Software: Electronic Medical Records (EMR) System Software
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. Population and medical models of health, 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. A review of metrics, metrics, and public data sources emphasizes the assessment and application of health information technology, data analytics, and health informatics to improve health and delivery of health care.
This course includes many important aspects of health care analytics, processes, and tools that can be used. Data generated via Health Information Technology (HIT) can help organizations gain much deeper insight into their performance compared to previous technologies (or lack of technologies) allowed. However, this is not easy. Healthcare organizations face the risk of information overload as nearly every step of healthcare becomes computerized and data is generated. This includes not only data generated from electronic health records (EHR) and patient portals, but also medical devices, equipment tracking and scheduling systems, laboratory systems, and many more. This course looks at many ways to centralize and analyze a large amount of data in order to harness the overwhelming power of this information to make better decisions.
Software: Tableau, IBM Watson Analytics
This course covers the organizational, technical, and organizational aspects of privacy and security in healthcare settings. Information security in health care is regulated by a complex set of federal and state laws and regulations, technical cybersecurity requirements and executive management decisions on dealing with information technology risks and training of the security workforce. Introducing students to this important area requires that all three security settings be addressed and combined to illustrate how organizational, technical, and regulatory factors affect information security and compliance.
This course helps students to think critically about how to conceptualize and model databases, and to use query languages to manipulate databases to obtain information that can assist managers in making decisions. The course takes a data-driven transaction-based (OLTP) view that is embedded in the larger processing view. The course is based on reading tasks, problem-solving exercises and case exercises. At the end of the course, students should be able to extend their learning to new areas and applications and transfer their knowledge in databases.
Optional courses 24 Credits
Consumer health informatics is a field that aims to provide individual healthcare consumers, as well as their families and communities, with the information and tools they need to become more involved in their own health and care. This chapter will focus on health service-related consumer health informatics addressing the intersection of patient, information technology, and health care practice. This view of informatics analyzes consumers' needs for information; studies and implementation of methods for making information accessible to consumers; and modeling and integrating consumer preferences and capabilities (eg, health information literacy) into health information systems. This view also recognizes the changing expectations of healthcare consumers in managing their health using new models of care (eg.
This course will introduce students to the methods used to assess quality of care using outcome data, and to understand and evaluate studies involving health care outcomes. Students are exposed to hospital quality assessment mechanisms and are challenged to evaluate the medical and health services research literature on health care quality and outcome assessments. This course introduces the student to several aspects of health analytics. We investigate data cleansing and transformation, supervised and unsupervised data mining techniques to investigate quality of care and health outcome measures.
Software: Excel, Rapidminer, R, Python
This course includes the basic knowledge and skills necessary for graduates to successfully contribute and advance in the field of healthcare informatics and analytics including: a) the health and healthcare landscape, health informatics and the healthcare industry, b) the fundamentals of multidisciplinary collaborative management/administrative process in a healthcare environment, c) Essential skills to prepare evidence-based health IT reports and worksheets, present key quantitative data and qualitative information, and are understood by various stakeholders, and d) Professional aspiring health IT roles. All course topics will reflect the culturally and disciplinaryly diverse environment of healthcare, in particular, health informatics and analytics. The course is designed to enhance learning through experiential exercises. The exercises are designed to provide you with an opportunity to practice new strategies and tactics in a low-risk environment. In addition, you will learn more about how you react in specific negotiating situations, and you will develop more effective response techniques. During the course you will receive feedback allowing you to adjust your skills. Furthermore the course is sequenced so that cumulative knowledge can be applied and practiced.
This course studies the distinctive characteristics of IT projects and introduces a variety of related technologies. The course includes project manager functions such as managing scope, time, quality and cost.
After this course, students will be able to understand the critical issues involved in managing IT projects, manage key areas of an IT project as defined by the Project Management Body of Knowledge (PMBOK) at the Project Management Institute (PMBOK), and create a comprehensive information statement. Project work (SOW), tracking and controlling IT project implementation using earned value analysis techniques, understanding the key elements involved in project closure, applying core concepts and principles of project quality and process management such as the Capacity Maturity Model (CMM) framework and assessment, and understanding key concepts To manage agile projects, working effectively in a team to plan, control and complete the project.
Program: Microsoft Project 2022
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 the responsibility of health care providers. The legal and regulatory requirements that govern policies designed to protect and preserve health information will be explored. Students will explore legal and ethical issues by applying problem-solving and decision-making models to selected case studies.
The course integrates the key issues and technologies surrounding technical infrastructure and data engineering in health informatics, and the role of information standards and ontology in health care.
The second stage - Practical Training 30 Credits
In practical training, the student is assigned to teach a virtual course chosen by the college from among the courses studied by the student at the bachelor's level. The student should divide this course from twelve to fourteen brief lectures. The student presents each lecture in the form of a written summary of its topic in Word or PDF format, accompanied by a video recording of it with the student's voice using Power Point, the duration of which is no less than ten minutes and not more than about twenty minutes.
The thrid stage - Master's Thesis 54 Credits
The student submits a request to the university administration to register a master’s thesis, along with a proposed topic in one of the subspecialty tracks.
● If the initial approval of the subject title is achieved, the college council will designate a supervisor to guide and follow up the student in preparing the plan.
● The research plan includes the importance of the topic and a critical presentation of previous studies in it, specifically the research problem, then defining the study's curriculum and its main hypotheses or questions that you want to answer, and the division of the study and its sources.
● The student presents his proposed plan in a scientific seminar, discussing the plan as a topic and an approach.
● The student adjusts his plan based on the professors' observations in the seminar if he is asked to amend.
● After the seminar, the plan is presented to the college council to take its decision regarding the registration of the subject.
● In the event of approval, the college council’s decision is presented to the university council to approve registration, and the registration date is calculated from the university council’s approval date