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Curriculum & Specializations

Health Informatics

Health Informatics Curriculum

Degree Requirements

Curriculum Overview 

The Master's in Health Informatics requires the successful completion of 12 courses. Students must complete five core courses and seven additional courses corresponding to a chosen area of specialization. Specializations allow students to tailor their studies to specific career goals. Current students should refer to curriculum requirements in place at time of entry into the program.

Core Requirements:

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.

 

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MHI 403 – Introduction to 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.

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MHI 407 – 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.

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MHI 480 Health Analytics Leadership or MHI 481 – Leadership

MHI 480 Health Analytics Leadership

Note: This course may be taken in lieu of MHI 481 Leadership. Students may not take both MHI 481 and MHI 480.

This course is designed as an introduction to health analytics leadership practice, high level project management, customer engagement, and effective communication in health care organizations. Healthcare has seen a tremendous increase in available data in the past decade; however much of it is siloed and very difficult to piece together. Physicians and leaders struggle with reliability and transparency of data. Managers struggle to get the data they need to make informed decisions.

Students in analytics-based roles and disciplines will learn organizational strategies for developing and executing a robust Business Intelligence vision and strategic plan. Health care organizations with a strong business intelligence platform enable clinical and business decision making and improve the efficiency of the overall data delivery system.

Leadership strategies including data governance fundamentals, elements of the Business Intelligence (BI) maturity model, and key practices to improve organizational data literacy will be examined. Students will also learn methods to effectively lead projects and engage both leadership and key stakeholders using change management principles, models, and project management tools. Before analytic tasks are undertaken, change management ensures an organizational culture that will support a successful data analytics strategy. Project and portfolio management tools will ensure effective execution of the strategy.

This course introduces best practices in leading change and project management, including: stakeholder engagement, project chartering, scope definition, and key metric development. Students will use these methods and models to demonstrate their understanding and ability to improve project definition and structure. Students should able to execute projects more effectively in their organizations.

The course will also focus on developing effective communication and presentation skills to translate analytics to actionable recommendations that can be used to solve problems in their organizations. Through case scenario exercises, students will deepen their ability to present data analyses and recommendations in a clear and concise manner, evaluate analyses others have done, and articulate the strengths and limitations of their analyses. Students will demonstrate success if they are able to connect and translate their analytics to purpose, process, and people.

Over the next ten weeks, students will examine and analyze current literature and case studies, compare and contrast BI best practices in health care organizations, and demonstrate their learning through assignments, exercises, discussions, and a course project. Students will deepen their ability to develop and deploy a robust BI platform in their health care organization.

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MHI 481 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.

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MHI 498 or MHI 590 – Capstone or Thesis

Capstone Project

The capstone project course is the culmination of the MMI 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.

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Clinical Informatics Specialization

The Clinical Informatics specialization is designed to prepare students to master the knowledge and skills reflected in the core content for clinical informatics approved by the American Medical Informatics Association (AMIA), which defines the boundaries of the discipline and informs the program requirements for fellowship education in clinical informatics.

Clinical Informatics Specialization – Required Courses:

MHI 405 – HIT Standards and Interoperability

This course provides concepts and practical examples of health care information interoperability, standard terminologies, messaging standards, health information exchanges (HIEs), and projects deploying these capabilities. Topics covered by the course include the importance of standards; information architecture and application programming interfaces (APIs); principles and examples of standard terminologies; current messaging standards; and their use in health information exchanges for coordination of care and payment reform. Core principles, challenges, benefits, and limitations will be discussed in each of these topics.

View All Sections

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 include structuring decision problems and developing creative decision options, quantifying uncertainty and preferences, and combining them to arrive at optimal decisions. 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.

View All Sections

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.

Prerequisites: Students should have a basic understanding of Microsoft Excel.

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CIS 413 – Telecommunication Networks

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

Clinical Informatics Specialization – Electives Menu (Choose 3):

MHI 402 – Introduction to Clinical Thinking

Provides insight into the clinical care process. Designed for students not previously involved in clinical medicine as a nurse, pharmacist, or physician, as well as those trained in medicine outside the U.S. Includes basic medical terminology and introductory psychophysiology. Topics include eliciting information from patients, synthesizing history and physical examination, decision making for ordering tests, establishing diagnoses, treatment planning, integrating evidence-based medicine, and using an intelligent medical record in a complex environment.

View All Sections

MHI 404 – Health Care Organization Operations

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.

Recommended taking after MHI 401- American Health Care System

View All Sections

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.

View All Sections

MHI 409 – Biostatistics

This course is designed for the biomedical researcher. Topics include descriptive statistics, hypothesis testing, estimation, t-tests, chi-squared tests, analysis of variance, linear regression, correlation, and nonparametric tests. Biomedical applications are discussed for each topic, as well as overall application of statistical methods in the informatics field. There are no prerequisites for this course.

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MHI 413 – Consumer eHealth

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.

View All Sections

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.

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.

View All Sections

CIS 435 – Data Science

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.

View All Sections

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.

View All Sections

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.

View All Sections

PREDICT 402 – Introduction to Predictive Analytics

This course introduces the field of data science, 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, while providing an overview of modeling methods, analytics software, and information systems. 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 also reviews approaches to business research, sampling, and survey design.

View All Sections

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 in project management software systems are included. Using methods and models from this course, analytics managers and team leaders should experience greater project definition and structure. They should be able to execute data science and data engineering projects more effectively.

This is a required course for the Analytics Management specialization.

View All Sections

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.

View All Sections

MS_IDS 409 – Data Management Principles: User Perspective

Database systems are at the core of modern information systems. In this course, students will explore the principles of data management and data extraction. Database design, modeling, and implementation concepts will be reviewed and discussed. Students will learn how the different forms of data such as structured data in SQL databases, and unstructured data in NoSQL database systems are stored and accessed. Students will also learn how to query a database and extract useful information to support the decision making process for information design and strategy. The course has hands-on modules that provide the students with SQL and NoSQL programming skills in order to extract and process data from a database engine and present the information in forms suitable for end-users.

View All Sections

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.

View All Sections

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.

View All Sections

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.

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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.

Health Technology Informatics Specialization – Required Courses:

MHI 402 – Introduction to Clinical Thinking

Provides insight into the clinical care process. Designed for students not previously involved in clinical medicine as a nurse, pharmacist, or physician, as well as those trained in medicine outside the U.S. Includes basic medical terminology and introductory psychophysiology. Topics include eliciting information from patients, synthesizing history and physical examination, decision making for ordering tests, establishing diagnoses, treatment planning, integrating evidence-based medicine, and using an intelligent medical record in a complex environment.

View All Sections

MHI 404 – Health Care Organization Operations (Recommend taking after MHI 401)

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.

Recommended taking after MHI 401- American Health Care System

View All Sections

MHI 405 – HIT Standards and Interoperability

This course provides concepts and practical examples of health care information interoperability, standard terminologies, messaging standards, health information exchanges (HIEs), and projects deploying these capabilities. Topics covered by the course include the importance of standards; information architecture and application programming interfaces (APIs); principles and examples of standard terminologies; current messaging standards; and their use in health information exchanges for coordination of care and payment reform. Core principles, challenges, benefits, and limitations will be discussed in each of these topics.

View All Sections

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 include structuring decision problems and developing creative decision options, quantifying uncertainty and preferences, and combining them to arrive at optimal decisions. 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.

View All Sections

Health Technology Informatics Specialization — Electives Menu (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.

View All Sections

CIS 413 – Telecommunication Networks

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.

Note for students in the MSIS program: This is a core course for all students pursuing the MSIS degree, with the exception of students specializing in Analytics and Business Intelligence. Students should take this course at their earliest opportunity.

Note for students in the MHI/MMI program: This is a core course for students pursuing the Clinical Informatics specialization. 

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. Students should take this course at their earliest opportunity.

Note for students in the MHI/MMI program: This is an elective course for students pursuing the MHI/MMI degree.

Note for all students: This course was previously called Introduction to Databases.

View All Sections

CIS 435 – Data Science

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.

It is highly recommended that students complete CIS 417 or possess equivalent knowledge and skills prior to taking this course.

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.

View All Sections

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.

Note for MSIS students: It is highly recommended that MSIS students complete CIS 417 and CIS 435 or possess equivalent knowledge and skills prior to taking this course.

Note for MSPA students: Students must complete PREDICT 420 and PREDICT 422 prior to taking this course.

View All Sections

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.

View All Sections

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.

View All Sections

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.

View All Sections

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.

View All Sections

MS_IDS 409 – Data Management Principles: the User Perspective

Database systems are at the core of modern information systems. In this course, students will explore the principles of data management and data extraction. Database design, modeling, and implementation concepts will be reviewed and discussed. Students will learn how the different forms of data such as structured data in SQL databases, and unstructured data in NoSQL database systems are stored and accessed. Students will also learn how to query a database and extract useful information to support the decision making process for information design and strategy. The course has hands-on modules that provide the students with SQL and NoSQL programming skills in order to extract and process data from a database engine and present the information in forms suitable for end-users.

View All Sections

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.

Prerequisites: Students should have a basic understanding of Microsoft Excel.

View All Sections

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.

View All Sections

PREDICT 402 – Introduction to Predictive Analytics

This course introduces the field of data science, 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, while providing an overview of modeling methods, analytics software, and information systems. 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 also reviews approaches to business research, sampling, and survey design.

View All Sections

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 in project management software systems are included. Using methods and models from this course, analytics managers and team leaders should experience greater project definition and structure. They should be able to execute data science and data engineering projects more effectively.

This is a required course for the Analytics Management specialization.

View All Sections

MHI 413 – Consumer eHealth

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.

View All Sections

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.

View All Sections

 

Health Administration Informatics Specialization

This specialization is designed for students typically involved in health care business, administrative or management roles in a wide variety of settings such as health care organizations, insurers, consulting, technology firms and government, among others.

Health Administration Informatics Specialization – Required Courses

MHI 402 – Introduction to Clinical Thinking

Provides insight into the clinical care process. Designed for students not previously involved in clinical medicine as a nurse, pharmacist, or physician, as well as those trained in medicine outside the U.S. Includes basic medical terminology and introductory psychophysiology. Topics include eliciting information from patients, synthesizing history and physical examination, decision making for ordering tests, establishing diagnoses, treatment planning, integrating evidence-based medicine, and using an intelligent medical record in a complex environment.

View All Sections

MHI 404 – Health Care Organization Operations

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.

Recommended taking after MHI 401- American Health Care System

View All Sections

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.

View All Sections

MHI 413 – Consumer eHealth

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.

View All Sections

Health Administration Informatics Specialization – Electives Menu (Choose 3):

MHI 405 – HIT Standards and Interoperability

This course provides concepts and practical examples of health care information interoperability, standard terminologies, messaging standards, health information exchanges (HIEs), and projects deploying these capabilities. Topics covered by the course include the importance of standards; information architecture and application programming interfaces (APIs); principles and examples of standard terminologies; current messaging standards; and their use in health information exchanges for coordination of care and payment reform. Core principles, challenges, benefits, and limitations will be discussed in each of these topics.

View All Sections

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 include structuring decision problems and developing creative decision options, quantifying uncertainty and preferences, and combining them to arrive at optimal decisions. 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.

View All Sections

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.

View All Sections

 

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.

View All Sections

MS_IDS 409 – Data Management Principles: the User Perspective

Database systems are at the core of modern information systems. In this course, students will explore the principles of data management and data extraction. Database design, modeling, and implementation concepts will be reviewed and discussed. Students will learn how the different forms of data such as structured data in SQL databases, and unstructured data in NoSQL database systems are stored and accessed. Students will also learn how to query a database and extract useful information to support the decision making process for information design and strategy. The course has hands-on modules that provide the students with SQL and NoSQL programming skills in order to extract and process data from a database engine and present the information in forms suitable for end-users.

View All Sections

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.

Prerequisites: Students should have a basic understanding of Microsoft Excel.

View All Sections

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.

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PREDICT 402 – Introduction to Predictive Analytics

This course introduces the field of data science, 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, while providing an overview of modeling methods, analytics software, and information systems. 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 also reviews approaches to business research, sampling, and survey design.

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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 in project management software systems are included. Using methods and models from this course, analytics managers and team leaders should experience greater project definition and structure. They should be able to execute data science and data engineering projects more effectively.

This is a required course for the Analytics Management specialization.

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CIS 413 – Telecommunication Networks

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.

Note for students in the MSIS program: This is a core course for all students pursuing the MSIS degree, with the exception of students specializing in Analytics and Business Intelligence. Students should take this course at their earliest opportunity.

Note for students in the MHI/MMI program: This is a core course for students pursuing the Clinical Informatics specialization. 

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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. Students should take this course at their earliest opportunity.

Note for students in the MHI/MMI program: This is an elective course for students pursuing the MHI/MMI degree.

Note for all students: This course was previously called Introduction to Databases.

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CIS 435 – Data Science

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.

It is highly recommended that students complete CIS 417 or possess equivalent knowledge and skills prior to taking this course.

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.

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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.

Note for MSIS students: It is highly recommended that MSIS students complete CIS 417 and CIS 435 or possess equivalent knowledge and skills prior to taking this course.

Note for MSPA students: Students must complete PREDICT 420 and PREDICT 422 prior to taking this course.

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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.

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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.

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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.

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