Clinical Pharmacy and Translational Science 832

Submitted by gsweet on Mon, 2018-12-17 15:13

Informatics is an important system factor in how medication use may be impacted.  The purpose of this course is to introduce the learner to relevant theory and methods that are used in clinical informatics research.  This course is an introduction to informatics methods such as database modeling, clinical decision support, EHR, data mining and systems engineering.  The methods will be illustrated and discussed using prescription medications, pharmacy practice and applications (apps) as the context for lea

Health Behavior Health Education 654

Submitted by gsweet on Wed, 2019-03-13 10:16

Consumer health informatics (CHI) gives health care consumers information and tools to facilitate their engagement.  Students will become familiar with, and evaluate, a range of CHI applications.  They will also assess the needs and technological practices of potential users, generate theory-informed design and implementation strategies, and select appropriate evaluation approaches.

Cross listed with SI 554. 

School of Information 554

Submitted by gsweet on Wed, 2019-03-13 10:19

Consumer health informatics (CHI) gives health care consumers information and tools to facilitate their engagement.  Students will become familiar with, and evaluate, a range of CHI applications.  They will also assess the needs and technological practices of potential users, generate theory-informed design and implementation strategies, and select appropriate evaluation approaches.

Cross listed with HBHE 654. 

Health Management and Policy 611

Submitted by gsweet on Thu, 2020-05-07 16:35

This course explores the foundations of population health informatics, including information architecture; data standards and confidentiality as they pertain to population health management. This course examines key concepts related to registries, electronic health records, epidemiological databases, biosurveillance, health promotion, and quality reporting in population health management.

Biostatistics 607

Submitted by gsweet on Fri, 2021-08-06 15:07

This modular course focuses on basic programming skills for Python, R, and C++. It will cover key features of each including conditional statements, loops, data structures, basic data processing and analysis, basic data visualization, and object-orientation programming. 

Health Management and Policy 668

Submitted by gsweet on Sun, 2016-03-06 10:16

Introduction to concepts and practices of health informatics. Topics include: a) major applications and commercial vendors; b) decision support methods and technologies; c) analysis, design, implementation, and evaluation of healthcare information systems; and d) new opportunities and emerging trends.

Cross-listed with SI 542, BIOINF 668, LHS 668 

School of Information 624

Submitted by gsweet on Thu, 2021-10-07 16:41

Step into the role of a data consultant and use data to facilitate change in healthcare research, quality improvement and patient outcomes, and population health. Data consultants act as the bridge between the leadership and project stakeholders, and the data analysts to help in translating the data into actionable results. Their expertise lies in effective communication, scoping of projects, and needs assessment. They examine data, processes and technologies to evaluate current state and critical problems.

Bioinformatics 525

Submitted by gsweet on Sun, 2016-03-06 10:21

This course provides an introduction to the principles and practical approaches of bioinformatics as applied to genes and proteins. The overall course content is broken down into 3 sections focusing on introductory programming and data management, statistics, and systems biology, and respectively.

 

Learning Health Sciences 610

Submitted by gsweet on Sun, 2022-01-02 12:15

Real health data is complex, often unstructured, at times inaccurate, inconsistent, contains missing values, and is organized for clinical care rather than to meet analytic needs. Learning from health data requires a solid grasp of data operations, data visualization, statistics, and machine learning, as well as an understanding of ethical and legal frameworks guiding health data privacy and security.

Health Management and Policy 669

Submitted by gsweet on Sun, 2016-03-06 10:45

This course covers relational database theory and database-web systems with applications to health care.  The students are expected to develop a working knowledge of design, implementation, administration and maintenance of small to medium relational database systems.  The students will also be exposed to current technology for deployment, use and administration of relational databases through the Internet.

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