Based on the best-selling book, Health Analytics, by Jason Burke. This course equips professionals with the ability to harness data analytics to drive innovation and improvement in patient care, operational performance, and financial outcomes. In today’s healthcare landscape, understanding data is vital for informed decisions that shape effective, sustainable systems.
Health Analytics and Data Analysis
Health Analytics and Data Analysis
Instructor: Wiley-Expert Edge Course Instructors
Access provided by Collegial
Gain insight into a topic and learn the fundamentals.
Intermediate level
Recommended experience
1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
Understand the role of analytics in transforming healthcare systems
Apply data-driven strategies to improve patient care and outcomes
Integrate analytics into decision-making for better financial and operational performance
Skills you'll gain
- Health Technology
- Advanced Analytics
- Data-Driven Decision-Making
- Health Informatics
- Health Care Administration
- Health Education
- Analytics
- Care Management
- Health Care
- Electronic Medical Record
- Risk Management
- Data Science
- Predictive Analytics
- Clinical Practices
- Healthcare Industry Knowledge
- Healthcare Ethics
- Value-Based Care
- Patient-centered Care
- Business Strategy
- Quality Assurance
Details to know
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Assessments
14 assignments
Taught in English
Recently updated!
March 2026
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There are 14 modules in this course
In this section, we examine challenges in health data aggregation and the need for standardization to enable knowledge discovery and informed decision-making.
What's included
2 videos4 readings1 assignment
In this section, we examine the importance of collaboration and diverse perspectives in problem-solving. Key concepts include team dynamics, convergence, and the capability map for effective decision-making.
What's included
1 video4 readings1 assignment
In this section, we explore enterprise health analytics, emphasizing data-driven strategies, frameworks, and capabilities for business leaders to build analytically powered organizations.
What's included
1 video6 readings1 assignment
In this section, we examine Callimachus's early data organization methods, focusing on information retrieval and cataloging. The section highlights historical data management and its influence on modern information systems.
What's included
1 video5 readings1 assignment
In this section, we examine the role of evidence-based decision making in clinical practice, emphasizing data-driven approaches to improve health outcomes and the importance of scientific rigor in medical interventions.
What's included
1 video4 readings1 assignment
In this section, we examine the interdependencies between financial performance, risk management, and care quality in health care. Key concepts include reimbursement models, patient-centered care, and analytics for optimizing value and outcomes.
What's included
1 video3 readings1 assignment
In this section, we explore the evolution of medical practices and the role of data in shaping future healthcare.
What's included
1 video6 readings1 assignment
In this section, we examine healthcare value through cost-effectiveness analysis, outcome weighting, and activity-based costing to improve resource allocation and decision-making in health systems.
What's included
1 video5 readings1 assignment
In this section, we examine how EHR portals influence patient behavior and service use, focusing on psychological factors and strategies for effective patient engagement.
What's included
1 video4 readings1 assignment
In this section, we examine the shift toward consumer-directed health care, focusing on patient insights, analytics frameworks, and strategies to improve service delivery and outcomes.
What's included
1 video4 readings1 assignment
In this section, we explore healthcare risk categories, their interdependencies, and structured assessment methods to support informed decision-making and resource allocation.
What's included
1 video4 readings1 assignment
In this section, we explore quality control measures, safety audits, and setting measurable targets to ensure compliance, reduce risks, and enhance organizational performance.
What's included
1 video7 readings1 assignment
In this section, we examine the historical development of the scientific method and its impact on modern research. Key concepts include data analysis, structured frameworks, and continuous improvement in medical and analytical practices.
What's included
1 video5 readings1 assignment
In this section, we explore value-based analytics models, comprehensive health performance analysis, and collaborative frameworks to drive innovation in health and life sciences.
What's included
1 video3 readings1 assignment
Instructor
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