Training on Data-Driven Healthcare: Managing and Utilizing Health Information
Master data-driven healthcare. Learn to manage and utilize health information to improve patient outcomes, optimize healthcare delivery, and make informed decisions.
Next intake
20 Jul 2026 · Nakuru
Duration
10 days
Live instruction
Delivery
Physical + Virtual
Cohort based
Level
Intermediate
Working professionals
Certification
NITA reimbursable
For Kenyan cohorts
Language
English
All materials
About this programme
This course is designed to equip healthcare professionals with the skills and knowledge necessary to effectively manage data in healthcare settings. The course covers essential data management practices, tools, and techniques to ensure data accuracy, security, and compliance with healthcare regulations. Participants will learn how to handle large datasets, manage patient records, and utilize data for informed decision-making. The course emphasizes the importance of data quality and integrity in improving patient care and operational efficiency.
Course Duration
10 Days
Who Should Attend
- Healthcare professionals including doctors, nurses, and administrative staff
- Health information managers and medical record technicians
- Healthcare IT professionals
- Public health workers
- Clinical researchers and healthcare data analysts
- Healthcare administrators and managers responsible for data oversight
What you'll walk away with
By the end of this course, participants will be able to:
- Understand the fundamentals of data management in healthcare.
- Implement best practices for data collection, storage, and retrieval.
- Ensure data security and compliance with healthcare regulations such as HIPAA.
- Utilize data management tools to analyze and interpret healthcare data.
- Improve patient care and operational efficiency through effective data management.
- Apply data quality management techniques to maintain data integrity.
- Develop strategies for managing large healthcare datasets.
- Integrate healthcare data management practices with electronic health records (EHR) systems.
- Use data to support evidence-based decision-making in healthcare settings.
- Manage and protect patient data while maintaining confidentiality.
What we cover, module by module
Module 1: Introduction to Healthcare Data
- Types of healthcare data (clinical, administrative, financial)
- Data sources (electronic health records, claims data, registries)
- Data lifecycle (collection, storage, retrieval, analysis, dissemination)
- Case Study: Using hospital EHR data to improve patient service delivery
- Practical: Identify and categorize different healthcare data sources
Module 2: Data Quality and Management
- Data quality principles and standards
- Data cleaning and standardization
- Data integration and interoperability
- Data governance and stewardship
- Case Study: Improving data accuracy in a multi-hospital system
- Practical: Clean and standardize a sample healthcare dataset
Module 3: Data Security and Privacy
- Healthcare data privacy regulations (HIPAA, GDPR, etc.)
- Data encryption and access controls
- Risk assessment and management
- Incident response and reporting
- Case Study: Managing a healthcare data breach and response process
- Practical: Develop a basic healthcare data security checklist
Module 4: Data Analysis Fundamentals
- Descriptive statistics and data visualization
- Data mining techniques
- Predictive modeling and machine learning basics
- Case Study: Identifying disease patterns from hospital records
- Practical: Perform basic statistical analysis and visualization on health data
Module 5: Healthcare Data Analytics
- Patient population health management
- Quality improvement using data
- Healthcare operations optimization
- Financial analysis and cost-effectiveness
- Case Study: Reducing hospital wait times using data analytics
- Practical: Analyze healthcare operational data for improvement insights
Module 6: Clinical Decision Support Systems
- Introduction to CDSS
- Knowledge representation and reasoning
- CDSS development and implementation
- Evaluation of CDSS effectiveness
- Case Study: Implementing a CDSS for medication safety alerts
- Practical: Design a simple rule-based clinical decision support workflow
Module 7: Health Informatics and Information Systems
- Overview of health information systems
- Electronic health records (EHR)
- Clinical decision support systems (CDSS)
- Population health management systems
- Case Study: Integrating EHR systems across healthcare facilities
- Practical: Map data flow in a health information system
Module 8: Big Data and Healthcare
- Introduction to big data concepts
- Big data technologies (Hadoop, Spark)
- Applications of big data in healthcare
- Ethical considerations
- Case Study: Using big data to predict disease outbreaks
- Practical: Explore and analyze a large healthcare dataset
Module 9: Data Driven Research and Innovation
- Research methodologies using healthcare data
- Data-driven healthcare innovation
- Dissemination of research findings
- Case Study: Using healthcare data to develop new treatment approaches
- Practical: Design a simple data-driven healthcare research proposal
Module 10: Leadership and Communication
- Data-driven leadership and decision-making
- Communicating data insights to stakeholders
- Change management in a data-driven environment
- Case Study: Leading a digital transformation in a hospital setting
- Practical: Present healthcare data insights in a stakeholder-friendly format
Where the change lands
Organizational Impact
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Improve patient outcomes and operational efficiency through evidence-based decision-making.
-
Enhance patient safety by ensuring the integrity and security of health information.
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Foster a data-driven culture to uncover trends, optimize resources, and strengthen competitive position.
Personal Impact
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Gain in-demand skills essential for modern healthcare careers.
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Advance toward senior leadership, health informatics, or data stewardship roles.
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Contribute to improved patient care through data-driven insights.
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Build confidence to lead and champion data-driven initiatives.
Dates and locations
Upcoming intakes
Every intake is limited to a small cohort. Booking closes when a date fills or three weeks before the start, whichever comes first.
| City | Starts | Ends | Delivery | Book |
|---|---|---|---|---|
NakuruNext | 20 Jul 2026 | 31 Jul 2026 | In-Person | Book |
Kigali | 20 Jul 2026 | 31 Jul 2026 | In-Person | Book |
Accra | 20 Jul 2026 | 31 Jul 2026 | In-Person | Book |
Kisumu | 27 Jul 2026 | 07 Aug 2026 | In-Person | Book |
Johannesburg | 27 Jul 2026 | 07 Aug 2026 | In-Person | Book |
Dakar | 27 Jul 2026 | 07 Aug 2026 | In-Person | Book |
- NakuruNext
20 Jul → 31 Jul·In-Person
Book this intake - Kigali
20 Jul → 31 Jul·In-Person
Book this intake - Accra
20 Jul → 31 Jul·In-Person
Book this intake - Kisumu
27 Jul → 07 Aug·In-Person
Book this intake - Johannesburg
27 Jul → 07 Aug·In-Person
Book this intake - Dakar
27 Jul → 07 Aug·In-Person
Book this intake
Common questions.
Still not sure? Send us a note and a facilitator will get back to you within a business day.
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For corporate teams
Training 10+ professionals?
We deliver Training on Data-Driven Healthcare: Managing and Utilizing Health Information in-house at your offices, at a venue we arrange, or fully virtual. Customise the curriculum against your KPIs, and get a bespoke price for the cohort size you need.