Health Management Information Systems
- 4th term
- Health Policy and Management
- 3 credits
- Academic Year:
- 2019 - 2020
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. Major topics include an overview of healthcare use of information technology, medical informatics, public health informatics, information technology infrastructure, ethics in computing, computer security, consumer informatics, clinical software, computing in clinical education, research computing, health information exchange, and the future of healthcare computing.
- Learning Objectives:
- Interpret healthcare industry challenges that have put healthcare IT and informatics into the national agenda; Design strategies and initiatives to respond to these challenges
- Assess and compare public health initiatives requiring data collection, data analysis, and data visualization; recommend how efforts should be synchronized and integrated with clinical computing and workflows
- 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
- Discuss the impact of natural and man-made disasters and analyze what actions should be taken to protect computer resources; summarize mission critical computing and recommend policies, practices, and technologies to deliver high quality and dependable technology infrastructure
- 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. Summarize registries, cohorts, and how they are used to support population health and other ways to improve the quality of care and reduce the cost of care.
- 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 medical education
- Summarize foundational governmental policies and investments in healthcare; and why the federal government has made significant investments in healthcare IT. Analyze various healthcare scenarios and suggest optimal technology strategies.
- Methods of Assessment:
This course is evaluated as follows:
- 20% LiveTalks
- 30% Paper(s)
- 40% Final Exam
- 10% Literature Review
- Instructor Consent:
Consent required for all students
- Consent Note:
due to enrollment cap, all students must obtain permission.
- For consent, contact: