Course Description: This course teaches the foundational knowledge related to healthcare data and process management. It emphasizes the importance of data quality to patient care and safety, and provides students with hands-on skills to assess and improve the quality of healthcare processes. The course is especially timely and relevant amidst stricter healthcare regulations calling for better healthcare quality and outcomes, and improved patient safety. In this course, students will get the opportunity to use the systems development life cycle or SDLC approach to plan, design, and build a healthcare database management system from the ground up, starting from a real-life healthcare industry problem and culminating with the implementation of a small-scale, potentially scalable, healthcare database system. An important deliverable of this semester-long project is a detailed written report describing each project phase in detail, and recommending ways to improve, optimize, and maintain the developed system.

Dr. Lara Khansa speaks about her Healthcare Information Technology course

Course Description: This course is a graduate online course that provides the foundation Healthcare Information Technology component for the Masters in Information Technology (MIT) program. Healthcare providers are using Electronic Health Records systems and related technologies to improve the quality of and access to health care. Healthcare managers need to understand the new technologies in order to provide better healthcare. Having successfully completed this course, the students will be able to: use Electronic Health Record systems, describe patient informatics, use mobile technology to access medical record systems, describe how electronic health records enhance patient safety, and describe the use of electronic prescription and telehealth systems (BIT 5564 Students' Blog).

Course Description: This course includes concepts and issues critical in the globalization of business operations and information technology. Topics covered include the organization of global operations, cultural and national comparisons, planning global operations, facilities location, product development, technology transfer, global communication links, transborder data flow, international information systems, and other emerging operations and information technology issues.

The course examines decision support models for production planning, master scheduling, inventory control, shop floor control and related topics in planning and control. The course emphasizes the application of information technologies such as ERP, MRPII, CIM to operations planning and control.

Course Description: This is an undergraduate course that teaches quantitative techniques used in managerial decision-making. Topics include data collection, descriptive statistics, probability theory, and statistical inferential procedures. Tools used include software packages such as GMDH Shell and R.