Health Data Analysis for Decision-Making
In the era of digital transformation, health data has become one of the most valuable assets for medical institutions seeking to improve care quality, optimize operations, and make evidence-based decisions.
- 5training days
- 6modules
- 10sessions
- 30topics
About the programme
Course Overview
In the era of digital transformation, health data has become one of the most valuable assets for medical institutions seeking to improve care quality, optimize operations, and make evidence-based decisions.
Analyzing health data goes beyond collecting numbers—it involves identifying patterns, predicting risks, and guiding strategic actions.
Hospitals and medical centers that leverage data effectively can enhance patient outcomes, reduce errors, and allocate resources more efficiently. This 5-day workshop is designed to empower healthcare professionals with the skills to understand, analyze, and interpret health data for informed decision-making.
Expected Learning Outcomes
Understand the importance of health data analysis in decision-making
Learn tools and techniques for analyzing health data
Develop skills in reading and interpreting health performance indicators
Use data to improve service quality and operational efficiency
Build analytical models to support strategic decisions
Who Should Attend
Hospital and medical center managers
Quality and health planning officers
Health data analysts and IT professionals
Medical and administrative team leaders
Students of public health and healthcare management
Course Modules
Open any module to see its sessions and topics.
01will learn how to collect, clean, and process data using modern tools and techniques, and how to translate insights into actionable strategies. Through practical exercises and real-world applications, attendees will gain the confidence to use data as a powerful tool for driving performance, improving services, and shaping the future of healthcare.
02Introduction to Health Data Analysis
Session 1Types and Sources of Health Data
- Patient records and clinical data
- Operational and administrative data
- Internal vs. external data sources
Session 2The Role of Data in Healthcare Decision-Making
- Evidence-based decision support
- Enhancing care quality
- Risk prediction and prevention
03Tools and Techniques for Analysis
Session 1Data Collection and Cleaning Methods
- Surveys and electronic reports
- Handling missing and duplicate data
- Structuring databases
Session 2Descriptive and Statistical Analysis Techniques
- Averages and standard deviation
- Trend and correlation analysis
- Tables and visualizations
04Performance Indicators and Predictive Analysis
Session 1Building Health Performance Indicators
- Quality and safety metrics
- Operational efficiency indicators
- Patient experience measures
Session 2Predictive Analysis for Strategic Decisions
- Forecasting models in healthcare
- Scenario planning
- Strategic decision support
05Practical Applications in Data Analysis
Session 1Analyzing Departmental Health Data
- Emergency and outpatient data
- HR and staffing metrics
- Cost and productivity data
Session 2Creating Effective Analytical Reports
- Designing executive dashboards
- Presenting results clearly
- Data-driven recommendations
06Evaluation and Model Development
Session 1Reviewing Participant Data Projects
- Showcasing applied models
- Evaluating analysis quality
- Peer and trainer feedback
Session 2Building a Decision-Support Model
- Defining analytical goals
- Selecting appropriate tools
- Integrating analysis into institutional decision cycles
Complete your registration
We will contact you within one business day to confirm.