312.633.81
Health Management Information Systems
Location
Internet
Term
3rd Term
Department
Health Policy and Management
Credit(s)
3
Academic Year
2024 - 2025
Instruction Method
Asynchronous Online with Some Synchronous Online
Auditors Allowed
Yes, with instructor consent
Available to Undergraduate
No
Grading Restriction
Letter Grade or Pass/Fail
Course Instructor(s)
Contact Name
Frequency Schedule
Every Year
Resources
Prerequisite
Provides a broad overview of healthcare information systems with emphasis on historical foundations, current issues, and industry pressures pushing modernization and increased sophistication in the use of technology. Includes major topics such as: an overview of healthcare use of information technology, informatics, public health informatics, technology infrastructure, privacy challenges, cybersecurity, consumer informatics, clinical software, clinical education informatics, research computing informatics, health information exchange, and the future of healthcare computing.
Learning Objectives
Upon successfully completing this course, students will be able to:
- Interpret healthcare industry challenges that have put healthcare IT and informatics into the national agenda and design strategies and initiatives to respond to these challenges
- Contrast and compare consumer and medical informatics; recommend how new types of software and data exchange between clinicians and patients can impact clinical care and outcomes
- Assess how modern computing and networks have created new risks and vulnerabilities; evaluate examples of IT issues impacted by ethics in the clinical care, research, and education areas
- Explain the key elements of EHRs and their impact on clinical workflow and outcomes; assess current efforts to share patient information at a community level and define the value that can be generated by data sharing
- Summarize what the secondary use of EHR data is and provide examples on how clinical data can be used to support research and improve the quality of care
- Define health analytics and the foundation technologies used to perform analytics tasks, data collection & management, data analysis, and data visualization.
- Interpret the need to create and analyze population data sets and their role to improve the quality of care, improve public health processes, and support new types of clinical research
- Discuss how genetics and large data sets are impacting research informatics, how technology supports clinical research, and the potential to further integrate research computing with clinical software and work flow
- Assess technologies used to support clinical education
Methods of Assessment
This course is evaluated as follows:
- 20% Discussion
- 25% Project(s)
- 15% Literature review
- 40% Final Exam
Enrollment Restriction
undergraduates are not permitted in this course