The Health Systems track is available as an option under the MS Systems Science (MS
SS) or Industrial and Systems Engineering (MS ISE) degree programs and prepares students
for professional or leadership roles in healthcare, including hospital operations
management, health systems engineering, health information technology, healthcare
analytics, consulting, medical supply chain, insurance, operations within the pharmaceutical
industry, organ procurement networks and other not-for-profit health organizations.
Join us at an upcoming information session, in person or online, to learn more about the Health Systems track available in our
Industrial and Systems Engineering MS and Systems Science MS programs.
Health Systems plan of study
This Health Systems concentration is available in-person and fully online. Students
must complete concentration requirements in addition to the courses required by the
MS SS or ISE program.
The application of industrial and systems engineering principles to continuous
process improvement in the healthcare domain will be studied. Concepts that will be
addressed will include, but not be limited to, process mapping, optimization, scheduling,
lean and flexible systems, quality enhancement, simulation, supply chain management,
inventory control, and information management. Prerequisite: graduate standing in
the department or permission of the instructor. Crosslisted with ISE 437. Term offered
varies. 3 credits.
Levels: Graduate, Undergraduate
Note: This reduces the number of electives by one course.
Healthcare-related electives
The student must take at least one of the approved healthcare-related courses listed
below, selected in consultation with either the advisor or the director of graduate
studies.
This course provides an overview of issues and policies related to health care
systems, with emphasis on health care systems within the United States. The course
will apply various engineering tools and approaches for policy analysis and program
planning in this area. Some potential future policy changes will also be discussed,
as well as challenges with implementation and change management techniques. Crosslisted
with ISE 430. Prerequisites: Graduate standing or permission of the instructor. Term
offered varies. 3 credits.
Levels: Graduate, Undergraduate
One of the growing systems in our society is that of the healthcare delivery system.
The purpose of this course is to introduce the concepts behind the healthcare delivery
systems and to focus upon the systems improvement or continuous improvement techniques
available for complex systems. Topics would include improvement to, and problems with:
organizational structure, managing change, the financial structure, the responsibility
structure, quality data and implications of quality measures, use of clinical decisions
support systems and the care givers role in the system. There will also be a focus
upon suppliers to the healthcare delivery system and the unique requirements placed upon their products and processes.
Prerequisite: Graduate standing or permission of instructor. Crosslisted with ISE
434. Term offered varies. 3 credits.
Levels: Graduate, Undergraduate
This course is intended to provide an overview of healthcare finance and the current
financial environment for the healthcare industry and to learn how to apply engineering
economics to healthcare financial management. It will provide information on financial
and managerial accounting and how the use of Systems Science and Industrial and Systems
Engineering principles can be applied to financial management concepts to allow for
health-related organizations to make sound business decisions. Crosslisted with ISE
438. Prerequisites: SSIE 534 or permission of the instructor. Term offered varies.
3 credits.
Levels: Graduate, Undergraduate
This course introduces and emphasizes the role that human factors engineering/ergonomics
plays in healthcare systems, with a focus on its applications to help improve quality,
safety, efficiency, and effectiveness of patient care. Focused topics include human
factors in workflow models; work system design for patient safety; human error analysis/taxonomies
to reduce medical errors; task analysis and data collection methods in healthcare
environments; clinical staff workload and patient safety; physical ergonomics in healthcare
and human performance modeling; and diffusion and adoption of technology in healthcare,
with emphasis on the usability and design of medical devices and information systems.
Prerequisite: Basic human factors knowledge or permission of the instructor. Crosslisted
with ISE 439. Term offered varies. 3 credits.
Levels: Graduate, Undergraduate
Data analytics plays an increasingly greater role in healthcare organizations.
However, many healthcare professionals lack training in this vital area. This course
will cover advanced data analytics with applications in healthcare systems engineering.
In specific, the course will cover the concepts and methods of the data analytics
in three particular areas: (i) descriptive analytics, which includes data description
and aggregation; (ii) predictive analytics, which uses machine learning and statistical
modeling for prediction and forecasting; and (iii) prescriptive analytics, which makes
use of the results of predictive analysis to optimize the decision making process.
All introduced methods will be demonstrated along with a variety of data modalities
collected from healthcare applications such as pervasive health, disease diagnosis,
fraud detection, and pharmaceutical discovery along with medical decision support
systems. Through the provided coursework, students will be able to learn a variety of methodologies on data processing and modeling and make the best use
of healthcare data to facilitate medical decision making. Prerequisites: ISE 437/SSIE
537 or consent of the instructor. Crosslisted with ISE 448. Term offered varies. 3
credits.
Levels: Graduate, Undergraduate
This course is intended as an advanced course in health systems and health care
delivery. This course is oriented to provide the graduate students with an in-depth
study of the application of industrial and system engineering principles for continuous
process improvement in the health care. Concepts that are addressed and studied include,
but are not limited to, process mapping, optimization, scheduling, lean and flexible
systems, quality enhancement, simulation, supply chain management, inventory control,
and information management. SSIE 537 or permission of the instructor. Term offered
varies. 3 credits.
Levels: Graduate
"This course focuses on healthcare systems within communities in the United
States, their historical development, the major forces shaping the present status,
and emerging directions. Components as well as analytic models of formal and informal healthcare delivery systems will be examined. Geographic,
socio-cultural, and environmental stresses to the community and their healthcare systems
will be discussed. Current healthcare reform issues, including methods of financing
healthcare and issues specific to the rural community will be analyzed. Throughout
the course, the implications for nursing roles and actions within healthcare organizations,
and the planning, policy formulation, and evolving methods of delivering services
to clients will be highlighted. How national, state, and local influences, and processes
of organizational change affect the individual, small groups, and the nursing profession
will be explored. Appropriate for students in MASS or MPA healthcare concentrations
with permission of instructor.
This course will be taught using an online asynchronous format.
Offered Fall and Spring semesters. 3 credits.
NOTE: FNP & A/G Students registered for the Fall: will be preassigned to attend
one Inter-Professional Education (IPE) event working with Social Work, Pharmacy and
Public Health students to take place one one of two dates: TBA
**Note: Course fee applies. Refer to the Schedule of Classes.
Levels: Graduate, Undergraduate
This course introduces principles and methods of epidemiological investigations
for both infectious and non-infectious diseases. Methods that outline how the distribution
and dynamic behavior of health, illness, and disease in the population contribute
to an understanding of etiologic factors, modes of transmission, and pathogenesis
of disease are illustrated. Both acute and chronic disease methods of epidemiologic investigation
are explored. Topics to be covered include: evaluation of screening surveys, cross
sectional, case control, and incidence or cohort studies; pitfalls found in epidemiologic
studies; as well as statistical tests, and the selection of analytical tools to fit
specific data. Predictable client populations at risk will be discussed. Students
will have the opportunity to apply theory and practice with simulated and/or real
data sets for analysis, and to develop their own epidemiologic investigation. Required
for community health nursing students. Variable credit. Fall semesters only.
Levels: Graduate, Undergraduate
The purpose of this course is to enable Doctor of Nursing Practice (DNP) students
to become proficient in the use of information systems/technology resources to implement
quality improvement initiatives and support practice decision-making. This course
draws on the body of knowledge from cognitive, computer, design, and information sciences.
A systems approach will be used to examine the benefits and constraints of current
infrastructure, including both hardware and software, for administrative and clinical
decisions making. Using an evidence-based practice approach, the student will analyze
a clinical practice information system and develop a quality improvement plan that
addresses a system deficiency or expands the current capacity of a system to evaluate
or monitor patient outcomes. Students will also explore a broad range of healthcare
technology applications including systems for consumer health education. In addition, students will demonstrate knowledge
of standards and principles for selecting and evaluating information systems and patient
care technology as well as assess associated risks related to ethical, regulatory,
and legal issues and propose strategies to maximize benefits and minimize potential
harms. 3 credits. Spring semester.
Levels: Graduate
The goal of this course is to analyze the elements and functioning of healthcare
systems of selected nations in comparison to the American healthcare system. Political,
social, cultural and economic factors effecting rural and urban healthcare systems
are examined from a global perspective. The strengths and weaknesses of systems are
explored in relation to economics and outcomes. Role of public health politics in
policy development and implementation in rural and urban areas is analyzed. 3 credits.
Fall semesters Prerequisites: NURS 608 or with permission of instructor
Levels: Graduate
Degree-completion options
Students select one of the following degree completion options:
Coursework only: Requires 10 courses (30 credits) for completion and must include SSIE 637 Advanced
Topics in Health Systems.
Project: Students must complete a healthcare-related project (3 credits of MS Termination
Project), chosen in consultation with the advisor, in addition to 27 course credits
(including SSIE 637 Advanced Topics in Health Systems).
Thesis: Students must complete a healthcare-related thesis (6 credits of SSIE 599 Thesis),
chosen in consultation with the advisor, in addition to 24 course credits (including
SSIE 637 Advanced Topics in Health Systems).
SUNY Distinguished Prof; Department Chair; Healthcare Systems Engineering / Health Systems / Manhattan Graduate Program Director; SUNY Distinguished Professor; Director
School of Systems Science and Industrial Engineering; Watson Institute for Systems Excellence (WISE)
