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Course Catalog


Term: 4th term
Credits: 3 credits
Contact: Jamila Savage
Academic Year: 2013 - 2014
Course Instructor:

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, clinical registries, community-wide clinical information sharing, and the future of healthcare computing.

Learning Objective(s):
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; 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 can impact clinical care and outcomes
Assess how modern computing has 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 te
Explain the key elements of EHRs and their impact on clinical workflow and outcomes; assess current efforts to create health data sharing networks 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
Compare different types of disease registries, how they are being modernized, and why disease registries are important to improve clinical care and support research
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 technology options to support medical education
Summarize foundational governmental policies and investments in healthcare; analyze many types of healthcare scenarios and suggest optimal technology strategies

Methods of Assessment: Student evaluation will be based on online discussions, term paper, literature review and final exam
Location: Internet
Enrollment Minimum: 10
Enrollment Maximum: 40
Instructor Consent: No consent required

Introduction to Online Learning is required prior to participating in any of the School's Internet-based courses..

Auditors Allowed: No
Grading Restriction: Letter Grade or Pass/Fail