The QualCert Level 3 Certificate in Healthcare Informatics and Analytics is a specialised qualification designed for healthcare professionals who wish to advance their expertise in managing, analysing, and interpreting healthcare data to support informed decision-making. This qualification is not intended for fresh candidates but for learners with practical experience in healthcare or related sectors who aim to enhance their career prospects, expand their knowledge, and engage in Continuing Professional Development (CPD).
Healthcare organisations increasingly rely on data-driven insights to improve patient care, optimise operations, and ensure regulatory compliance. This course equips learners with the skills to collect, manage, and analyse healthcare data effectively, apply statistical and analytical tools, and translate insights into practical strategies for improving outcomes. Learners will gain knowledge in digital healthcare systems, data visualisation, reporting, and ethical considerations in data management, enabling them to contribute confidently to healthcare decision-making and operational improvements.
Centres delivering this qualification must maintain high standards of training by employing competent and qualified staff with expertise in healthcare informatics and data analytics. Centres must also provide access to up-to-date learning materials, practical tools, and digital platforms that support interactive study and applied exercises. Robust assessment processes and strong learner support must be in place to ensure successful course completion and skill acquisition.
By completing the QualCert Level 3 Certificate in Healthcare Informatics and Analytics, learners will acquire the practical and strategic skills necessary to manage healthcare information efficiently, generate actionable insights, and contribute to evidence-based improvements in patient care and healthcare operations.
Course Contents of QualCert Level 3 Certificate in Healthcare Informatics and Analytics:
The QualCert Level 3 Certificate in Healthcare Informatics and Analytics, offers 20 Credits, requiring a Total Qualification Time (TQT) of 100 hours, including 70 Guided Learning Hours (GLH).
| Unit Ref# | Unit Title | Credit | GLH | TQT |
| QC28021-1 | Principles of Healthcare Informatics | 4 | 14 | 20 |
| QC28021-2 | Data Collection, Management, and Quality Assurance in Healthcare | 4 | 14 | 20 |
| QC28021-3 | Statistical Methods and Analytical Tools for Healthcare | 4 | 14 | 20 |
| QC28021-4 | Data Visualisation, Reporting, and Interpretation in Healthcare | 4 | 14 | 20 |
| QC28021-5 | Ethical, Legal, and Regulatory Considerations in Healthcare Data Analytics | 4 | 14 | 20 |
Entry Requirements for the QualCert Level 3 Certificate in Healthcare Informatics and Analytics:
The QualCert Level 3 Certificate in Healthcare Informatics and Analytics is designed for healthcare professionals and practitioners seeking to enhance their skills in managing and analysing healthcare data. The following entry requirements ensure learners are adequately prepared:
Minimum Age
- Learners must be at least 18 years old at the time of registration.
Educational Background
- A minimum of a Level 2 qualification or equivalent is recommended.
- Learners with substantial professional experience in healthcare, informatics, or data management may also be considered.
Experience
- This qualification is not intended for fresh candidates.
- Learners should have practical experience in healthcare, data handling, or administrative roles, enabling them to apply informatics and analytical principles effectively.
Language Proficiency
- Learners must demonstrate proficiency in English to fully engage with course materials, complete assessments, and communicate findings effectively.
Commitment to CPD
- Learners should be committed to Continuing Professional Development (CPD) and actively seek to implement data-driven improvements within healthcare settings.
Access to Required Resources
- Learners must have access to computers or laptops, reliable internet, and relevant study materials to support research, assignments, and practical exercises.
Centre Requirements
- Centres must employ qualified and experienced staff with expertise in healthcare informatics, analytics, and data governance.
- Centres must provide up-to-date learning resources, digital platforms, and practical tools to support interactive and applied learning.
- Robust assessment and internal verification systems must be in place to ensure fair evaluation and successful learner outcomes.
Learning Outcomes for the QualCert Level 3 Certificate in Healthcare Informatics and Analytics:
Principles of Healthcare Informatics
- Understand the fundamental concepts and importance of healthcare informatics
- Analyse the role of informatics in improving healthcare delivery and decision-making
- Identify key systems and technologies used in healthcare data management
- Apply informatics principles to support efficient healthcare operations
Data Collection, Management, and Quality Assurance in Healthcare
- Implement effective data collection methods within healthcare settings
- Manage and maintain accurate and secure healthcare data
- Apply quality assurance techniques to ensure data reliability and integrity
- Evaluate data management processes to support informed healthcare decisions
Statistical Methods and Analytical Tools for Healthcare
- Apply statistical methods to analyse healthcare data effectively
- Utilise analytical tools to identify trends, patterns, and insights
- Interpret quantitative and qualitative data to support operational and clinical decisions
- Evaluate the impact of data analysis on healthcare outcomes and performance
Data Visualisation, Reporting, and Interpretation in Healthcare
- Create clear and accurate visualisations to communicate healthcare data
- Develop reports that support decision-making and performance monitoring
- Interpret complex data to provide actionable insights for healthcare management
- Utilise visualisation and reporting tools to enhance understanding across teams
Ethical, Legal, and Regulatory Considerations in Healthcare Data Analytics
- Understand ethical principles and legal requirements in healthcare data handling
- Ensure compliance with data protection, confidentiality, and regulatory standards
- Apply best practices for ethical decision-making in data analytics
- Evaluate policies and procedures to maintain data integrity and safeguard patient information
The QualCert Level 3 Certificate in Healthcare Informatics and Analytics is designed for healthcare professionals and practitioners who wish to develop advanced skills in data management, analysis, and decision-making within healthcare settings. This qualification is not intended for fresh candidates but for learners with prior experience in healthcare, health administration, or data-related roles who wish to enhance their career prospects, expand their expertise, and engage in Continuing Professional Development (CPD).
It is particularly suitable for:
- Healthcare administrators and managers seeking to leverage data for operational and clinical improvements
- Professionals responsible for healthcare reporting, data analysis, and performance monitoring
- Staff involved in implementing digital healthcare systems and informatics strategies
- Practitioners committed to improving patient outcomes and organisational efficiency through evidence-based decision-making
By completing this qualification, learners will gain practical and strategic skills to manage healthcare data confidently, generate actionable insights, and contribute to improved decision-making, efficiency, and patient care across healthcare organisations.
Centres delivering the QualCert Level 3 Certificate in Healthcare Informatics and Analytics must meet the following standards to ensure high-quality training and successful learner outcomes:
Qualified and Experienced Staff
- Tutors, assessors, and internal verifiers must hold relevant qualifications and practical experience in healthcare informatics, data analytics, and healthcare management.
- Staff must maintain up-to-date knowledge of data management systems, analytical tools, and healthcare regulations.
- Continuous Professional Development (CPD) for staff should be maintained to ensure ongoing competency and quality delivery.
Learning Resources and Facilities
- Centres must provide access to current learning materials, software, and digital platforms essential for healthcare informatics and analytics training.
- Practical exercises, case studies, and interactive tools should be available to simulate real-world healthcare data management scenarios.
- A supportive learning environment must be offered, whether classroom-based, online, or blended, to facilitate engagement and applied learning.
Assessment and Quality Assurance
- Centres must implement robust assessment and internal verification systems to ensure fair, valid, and reliable evaluation of learners’ work.
- Records of learner progress, feedback, and achievement must be maintained accurately.
- Assessment methods should reflect both theoretical knowledge and practical application of healthcare informatics and analytics principles.
Policies and Learner Support
- Centres must have clear policies covering safeguarding, equality, diversity, and inclusion.
- Learners should have access to academic support, mentoring, and guidance throughout the qualification.
- Centres must ensure learners understand and adhere to ethical, legal, and professional standards in healthcare data handling.
By meeting these requirements, centres provide a professional, well-resourced, and supportive environment that enables learners to successfully acquire the skills needed for healthcare informatics and analytics roles.