Nursing Informatics: Data Management and Analysis
( 30 Modules )

Module #1
Introduction to Nursing Informatics
Overview of nursing informatics, its history, and its significance in healthcare

Module #2
Healthcare Data and Information
Types of healthcare data, data sources, and data quality

Module #3
Healthcare Data Standards
Overview of healthcare data standards, including HIPAA, HL7, and IHE

Module #4
Electronic Health Records (EHRs)
Components, benefits, and challenges of EHRs

Module #5
Data Management in Nursing
Data management principles, data governance, and data warehousing

Module #6
Data Analysis Fundamentals
Introduction to data analysis, data visualization, and statistical methods

Module #7
Descriptive Statistics
Measures of central tendency, variability, and frequency distribution

Module #8
Inferential Statistics
Hypothesis testing, confidence intervals, and t-tests

Module #9
Data Visualization
Introduction to data visualization, including charts, graphs, and tables

Module #10
Nursing Research and EBP
Overview of nursing research, evidence-based practice, and research designs

Module #11
Data Mining and Machine Learning
Introduction to data mining, machine learning, and predictive analytics

Module #12
Clinical Decision Support Systems (CDSSs)
Overview of CDSSs, including types, benefits, and limitations

Module #13
Telehealth and Remote Monitoring
Overview of telehealth, remote monitoring, and mobile health

Module #14
Healthcare Analytics
Introduction to healthcare analytics, including predictive analytics and prescriptive analytics

Module #15
Quality Improvement and Patient Safety
Using data to improve quality and patient safety, including root cause analysis

Module #16
Healthcare Data Security and Privacy
Overview of healthcare data security, privacy, and confidentiality

Module #17
Informatics Leadership and Management
Role of informatics nurses in leadership and management

Module #18
Nursing Informatics Project Development
Developing a nursing informatics project, including problem identification and project planning

Module #19
Data Analysis and Interpretation
Analyzing and interpreting data, including data visualization and reporting

Module #20
Nursing Informatics Toolkits and Resources
Overview of nursing informatics toolkits, resources, and software applications

Module #21
Informatics and Healthcare Policy
Relationship between informatics and healthcare policy, including health information exchange

Module #22
Global Health Informatics
Overview of global health informatics, including international initiatives and applications

Module #23
Interprofessional Collaboration and Informatics
Role of informatics in interprofessional collaboration and teamwork

Module #24
Nursing Informatics and Education
Role of informatics in nursing education, including curriculum development and integration

Module #25
Informatics and Patient Engagement
Role of informatics in patient engagement, including patient portals and personal health records

Module #26
Healthcare Information Exchange (HIE)
Overview of HIE, including types, benefits, and challenges

Module #27
Nursing Informatics and Research
Using informatics in nursing research, including study design and methodology

Module #28
Informatics and Public Health
Role of informatics in public health, including surveillance and outbreak detection

Module #29
Nursing Informatics and Ethics
Ethical considerations in nursing informatics, including data ownership and confidentiality

Module #30
Course Wrap-Up & Conclusion
Planning next steps in Nursing Informatics: Data Management and Analysis career

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Nursing Informatics: Data Management and Analysis ( 30 Modules )

Nursing Informatics: Data Management and Analysis
( 30 Modules )