Curriculum: Health Technology Informatics Specialization
This specialization is geared for students typically involved in information technology, not necessarily in the health care sector, in roles such as technology suppliers, web developers and administrators, information system coordinators, and IT project managers, among others.
The Master's in Health Informatics requires the successful completion of 12 courses. Students complete five core courses including a leadership course and a capstone (498) or thesis (590) project, four required courses, and three elective courses corresponding to the health technology. Current students should refer to curriculum requirements in place at time of entry into the program.
- MHI 401
American Health Care System
The course provides knowledge of the key components of health care in the United States—the policy, economic, and societal forces that shape health care delivery. The course serves as an introduction to elements of the American health care system, including the provider components, the financing of health care, the basic structure of public policy making and public health systems, a comparative analysis of the American system to health care systems of other countries, and the legal and regulatory framework within the American health care system functions. In addition to the structural components of the system, the course reviews current issues within the American health care system, including public health, preparedness, quality of health care, health reform, payment mechanisms, and consumerism.
- MHI 403-DL
Fundamental Health Informatics
The course is an introductory survey of fundamentals of health information technology. Topics center on how information technology enables patient care, how information technology is used by healthcare providers and caregivers, and it’s use to fuel modern health care organizations. This course provides an overview of health informatics with emphasis on the factors that helped create and sustain this new field, the key players involved, and the impact health information technology is having on the delivery of care in a rapidly changing healthcare marketplace.
We explore a range of critical health care informatics topics, including: electronic health records, health information exchange, how health information technology impacts quality of care and patient safety, big data and predictive analytics, clinical decision support and knowledge management, regulatory issues, consumerism and technology, systems integration, and virtual health. The course also explores emerging and new uses of technology.View All Sections
- MHI 407-DL
Legal, Ethical & Social Issues
This course addresses the legal, ethical, and social issues in health care informatics and will equip students with the knowledge and analytic tools needed to spot those key issues, thereby better protecting students and their employers in the medical informatics field. The health care industry is highly regulated, and this course also covers regulatory informatics requirements as they apply to work with health care data and information management systems. The course also covers topics such as privacy and security, fraud and abuse, confidentiality, antitrust law, intellectual property, the Joint Commission, disclosure, and compliance programs.View All Sections
- Leaders 481-DL
Foundations of Leadership
The purpose of this course is to identify the fundamental leadership behaviors that enable people to excel in their careers, and to help students apply these behaviors to personal and professional success. The course builds from the basic premise that leadership is learned and looks at the theory and practice of leadership at the individual and organizational level. The course will explore definitions of leadership, the importance of leadership, leadership styles, the role of vision and integrity, the importance of giving and receiving feedback, how to lead change and solve problems, effective teamwork, and communication strategies. The culmination of the class will be a personal leadership development plan formulated by each student.
Health Technology Informatics Specialization
- REQUIRED COURSES:
- MHI 402
Introduction to Clinical Thinking
This course provides an introduction to the clinical environment throughout the health center. It is designed for students not previously involved in clinical medicine and those trained in medicine outside the United States. The course features problem-based learning and traditional medical informatics task domains and covers medical terminology and basic pathophysiology. Topics include the clinical setting, eliciting information from patients, synthesizing the history and physical examination, establishing diagnosis, treatment planning, integrating evidence-based medicine, and using an intelligent medical record in a complex environment.
- MHI 404
Health Care Enterprise Operations
This course examines the entire information technology needs of every part of hospital organization and management, including patient access services, ambulatory care, clinical practice and organization, nursing services, managing facilities and resources, personnel and staffing, and finance.
It is recommended that students who were assigned MED INF 401-DL American Health Care System at admission should take that prior to MED_INF 404-DL.
- MHI 405
HIT Integration, Interoperability, & Standards
This course provides the details of health care technology standards and interoperability. Topics include the value proposition of standards; health information models; the IHE Initiative; HL7, DICOM, CCOW, CorbaMED, and other medical standards. The course also covers the role of nonmedical standards in medical informatics (HTTP, XML, etc.) as well as multi-institutional issues and telemedicine, e-commerce, and Health Insurance Portability and Accountability Act standards compliance.
- MHI 406
Decision Support Systems
This course provides an introduction to decision analysis with an emphasis on medical decision-making and elements of human cognition under uncertainty. Topics covered include structuring decision problems and developing creative decision options, quantifying uncertainty and preferences, and combining them to arrive at optimal decisions. The course also provides the foundation needed to apply the methods of decision analysis in decision support systems and intelligent systems. Students become familiar with the graphical display of medical information, decision analysis and modeling, evidence-based medicine, Bayes' theorem, knowledge-based systems, learning systems, lexicons, coding and structured data entry, and data mining techniques.
- ELECTIVES (Choose 3):
- MHI 408
Information System Acquisition & Lifecycle
A practical course on acquiring and assessing new medical technology, either as a vendor who needs to know how to meet the expectations of customers and their acquisition requirements or as a customer/practitioner who must know how to validate technology selections and implementations. Topics include cost analysis and justification, economic models, capital purchase, leasing strategies, the application service provider or risk-sharing model, purchase agreements and contracts, writing a RFP, analyzing a RFP response, and industry business trends.
- CIS 413-DL
This course provides an overview of telecommunications and data communications. Course work includes local area network (LAN) and wide area network (WAN) components such as switches, routers, telecommunication circuits, and protocols. Advanced topics such as information security, information assurance, advanced networking technologies, and others will be overviewed as well.View All Sections
- CIS 417
Database Systems Design & Implementation
This course covers the fundamentals of database design and management. Topics include the principles and methodologies of database design, database application development, normalization, referential integrity, security, relational database models, and database languages. Principles are applied by performing written assignments and a project using an SQL database system.
Note for students in the MSIS program: This is a core course for students pursuing the MSIS degree.
Note for students in the online MMI-DL program: This is a track course for students pursuing the MMI degree.
Note for students in the MSPA program: This is a core course for students pursuing the MSPA degree.
Note for all students: This course was previously called Introduction to Databases.
- CIS 435
Data Science/Machine Learning
This course provides an introduction to data science with a focus on building real-life business applications using machine learning. Students learn data mining applications, core concepts, algorithms and overview of open source/commercial tools. This course takes a hands-on approach to this topic and prepares students for applying appropriate machine learning modeling techniques (Collaborative Filtering, Association, Clustering and Classification) for given real-world use cases. Students learn via experimentation; they observe the outcome of applying machine learning algorithms to structured and unstructured data using open source software.
Note for students in the MSIS program: This course is required for the specialization in Database and Internet Technologies. This course may be used as an elective towards all other specializations.
Note for students in the MHI/MMI program: This course is an elective for students pursuing the MHI/MMI degree.
Note for students in the MSPA program: This course is an elective for students pursuing the MSPA degree.
Note for all students: This course was formerly called Data Warehousing and Data Mining.
- CIS 436
Big Data Management & Analytics
This course reviews concepts behind both centralized and distributed database systems, and relational and not-only-relational database systems. Discussion of open source and commercial solutions, with special attention being paid to large distributed database systems and data warehousing. The course introduces technologies and modeling methods for large-scale, distributed analytics.
Prerequisites for MSIS students: CIS 417 and CIS 435
Prerequisites for MSPA students: PREDICT 420 and PREDICT 422
- CIS 494
Information Systems Project Management
Project Management is increasingly seen as an integral part of the modern workforce. Project Management Concepts will prepare students for effective project management strategies that can be applied to any project, independent of industry. Students will master project management methods and techniques critical to the formation of professional project plans. Team development, communication, stakeholder management, and organization dynamics will be topics covered.
Notes for students in the MSIS program: This course is required for the specializations in Database and Internet Technologies, Information Systems Security, Software Project Management and Development, and Information Systems Management. This course may be used as an elective towards all other specializations.
- MSGH 417
Global Health Systems
Overview of the structure of the U.S. health systems followed by a selective international comparison of other health delivery systems including their relationships to social policies and economic factors. This course explores the role of public institutions and NGOs in healthcare delivery in low, middle, and high-income countries from social, political, and economic perspectives. Topics include historical and contemporary international development theory, international aid and its impact on health systems, supply chain management, comparison of health insurance providers and markets, and global health governance.
- MSGH 458
Global Health and Technology
This is an introductory course positioning technology in the global health landscape. Health systems of the future will increasingly be dependent on technology; how the technology value-proposition is leveraged will be a critical determinant of health outcomes, nowhere more so than in developing countries and resource-scarce settings (DC&RSS). Topics will include: health technology - what’s in a name (unpacking the term); why health technologies matter (linking technologies to burden of disease, healthcare services, quality of care and health outcomes); health technology innovation, introduction/adoption and utilization challenges in DC&RSS; the complementary roles of health technology assessment, regulation and management; health-related technologies and infrastructure as the new frontier for achievement of improved health status in DC&RSS.
- MS_IDS 401
User-centered System Design
The User-Centered Design course gives students hands-on experience with the latest design frameworks and methodologies that focus on the end user. Students will learn how a user focused design process can be used to solve the most challenging problems facing businesses and organizations today. Students will be introduced to the latest trends in design thinking, the importance of iterative design frameworks, researching user needs, prototyping, collaboration and critical feedback.
- MS_IDS 409
Data Management Principles: the User Perspective
Databases underlie all electronic systems, from websites and software to video games. This course will introduce students to data management concepts, such as metadata and controlled vocabularies, and demonstrate how these structures affect human-computer interactions. Students will learn how to describe and query different forms of information such as structured data in relational databases, unstructured text, and semi-structured data (XML, web). Students will also learn how to find patterns in data and to perform information mapping, conceptual modeling, and schema design. The course focuses on a user's perspective, rather than how one implements a database system.
- MS_IDS 452
Introduction to Data and Analytics
This course will introduce students to the appropriate uses of analytics and its limitations and define how to approach the various stakeholders within an organization with analytic information. Included will be a review of the ethical, regulatory, and compliance issues related to a given business problem and/or solution. Time will be spent interpreting performance-based organizational issues while concurrently identifying solutions for these same performance-based organizational issues. In addition, time will be spent identifying best practices to plan for engaging, implementing, and sustaining organizational change.
- PREDICT 402
Introduction to Predictive Analytics
This course introduces the field of predictive analytics, which combines business strategy, information technology, and modeling methods. The course reviews the benefits and opportunities of data science, organizational and implementation issues, ethical, regulatory, and compliance issues. It discusses business problems and solutions regarding traditional and contemporary data management systems and the selection of appropriate tools for data collection and analysis. It reviews approaches to business research, sampling, and survey design.
- MS IDS 453
Techniques of Analytics
Students learn to apply statistical techniques to the processing and interpretation of data from various industries and disciplines. This course introduces statistical models as they are used in predictive analytics. It addresses issues of statistical model specification and model selection, as well as best practices in developing models for management.
- PREDICT 475
Predictive Analytics Project Management
This course introduces best practices in project management, covering the full project life cycle with a focus on globally accepted standards. It reviews traditional methods, including: integration, portfolio and stakeholder management, chartering, scope definition, estimating, the Delphi method and project evaluation and review technique, precedence diagramming and the critical path method, scheduling, risk analysis and management, resource loading and leveling, Gantt charts, earned value analysis and performance indices of project cost/schedule control systems criteria. It shows how the project management maturity model, leadership, team development, and principles of negotiation apply to organizations of various types: hierarchical and matrix organizations, international teams, and virtual teams. Options on Agile and MS Project are included. Using methods and models from this course, predictive analytics managers should experience greater project definition and structure and be able to execute projects more effectively.
- MHI 413
This course introduces the student to the emerging practice area of Consumer eHealth, the aim of which is to empower consumers to better manage and influence their wellness, access to healthcare services, and healthcare protocols. Topics include access modalities such as consumer-oriented applications and relevant HIT systems, actionable processes and technologies, such as the application of innovative wearables, internables, and consumables, and behavioral management systems, such as PHRs, NwHIN services, and the Blue Button and Sharecare initiatives. Additional topics include the evolution of consumer driven healthcare in the United States, specifically evaluating how a connected society will enable previously unattainable levels of patient / provider interactivity.
- MHI 414
Emerging Federal Regulation & Policy
This course addresses emerging developments in the dynamic federal regulation of health care as it impacts health information technology and informatics. The course equips students with the knowledge they need to track key legislation, rules and policy issued by federal legislators and regulatory agencies, thereby preparing students and their employers to make proactive business and compliance decisions. Health care is highly regulated, and this course examines effects on quality of care, payment methodologies, care delivery systems, and information management. The course explores the roles of public and private sector bodies in shaping health information technology as a driver of health care services delivery and financing.
- About the Final Project
The final project combines research with hands-on experience and provides an opportunity for students to take advantage of the resources of Northwestern University and the Feinberg School of Medicine. Students may pursue their capstone experience independently or as part of a team. As their final course, students take either the individual research project in an independent study format or the classroom final project class in which students integrate the knowledge they have gained in the core curriculum in a project presented by the instructor. In both cases students are guided by faculty in exploring the body of knowledge on medical informatics while contributing research of practical value to the field. The capstone independent project and capstone class project count as one unit of credit.
- MHI 498-DL
The capstone project course is the culmination of the MHI program and provides students the opportunity to demonstrate mastery of the core competencies in the medical informatics field. Students, working in small groups, will also complete a comprehensive project provided by the instructor at the beginning of the course. Students are individually assessed and graded throughout the duration of class. Students may choose this course to fulfill their capstone requirement.
Prerequisite: the earliest students may take MHI 498 is in the quarter of their final class.
- MHI 590-DL
This final project is meant to represent the culmination of students’ experience in the program and must demonstrate mastery of the curriculum and ability to conduct sustained independent research and analysis. The project may be applied or may be a traditional scholarly paper, in both cases a write-up following the paper’s program-specific guidelines is required. Students must submit a proposal and secure a first reader in order to register; for further details students are advised to review the student handbook and contact their academic adviser.