The QualCert Level 6 Diploma in Healthcare Informatics and Analytics is a professional qualification designed to equip learners with the knowledge and practical skills required to navigate, manage, and analyse healthcare data to support strategic and operational improvements.
As healthcare systems increasingly adopt digital technologies, the demand for professionals who can interpret complex data, maintain information systems, and support clinical and administrative decision-making is growing rapidly. The QualCert Level 6 Diploma in Healthcare Informatics and Analytics offers a robust pathway for those looking to work at the intersection of healthcare, data, and technology.
The QualCert Level 6 Diploma in Healthcare Informatics and Analytics is aligned with the Regulated Qualifications Framework (RQF) at Level 6, equivalent to the final year of a UK undergraduate degree. The programme provides a comprehensive foundation in both informatics and analytics, tailored specifically to healthcare environments.
The QualCert Level 6 Diploma in Healthcare Informatics and Analyticscombines technical understanding with healthcare context, covering areas such as health data management, electronic health records (EHR), data governance, privacy compliance, analytical methodologies, and the use of data to support evidence-based practice.
The QualCert Level 6 Diploma in Healthcare Informatics and Analytics is typically delivered through a combination of guided learning, independent study, case-based exercises, and applied assessments. It is well-suited to working professionals, with flexible options for online and blended learning delivery.
Assessment is based on coursework, project work, data analysis tasks, and written assignments. There are no formal examinations, ensuring that learners are evaluated based on practical application and critical thinking rather than rote memorisation.
The QualCert Level 6 Diploma in Healthcare Informatics and Analytics is a forward-thinking qualification that addresses one of the most urgent needs in modern healthcare: the intelligent use of data. As the sector continues to evolve with digital transformation and increasing reliance on information systems, professionals equipped with this expertise will play a vital role in shaping the future of care.
Course Contents of QualCert Level 6 Diploma in Healthcare Informatics and Analytics:
The QualCert Level 6 Diploma in Healthcare Informatics and Analytics consists of a structured set of study units designed to provide learners with in-depth and comprehensive knowledge. The qualification includes a total of 1200 Total Qualification Time (TQT), 600 Guided Learning Hours (GLH), and awards 120 credits.
| Unit Ref# | Unit Title | Credits | GLH | TQT |
| QC28081- 1 | Foundations of Healthcare Informatics and Digital Health | 20 | 100 | 200 |
| QC28081-2 | Data Management, Interoperability, and Electronic Health Records (EHR) | 20 | 100 | 200 |
| QC28081-3 | Data Governance, Ethics, and Regulatory Compliance in Health IT | 20 | 100 | 200 |
| QC28081-4 | Statistical Methods and Health Data Analytics | 20 | 100 | 200 |
| QC28081-5 | Applied Health Informatics for Quality, Safety, and Service Improvement | 20 | 100 | 200 |
| QC28081-6 | Predictive Analytics and Decision Support in Healthcare | 20 | 100 | 200 |
Entry requirements for the QualCert Level 6 Diploma in Healthcare Informatics and Analytics:
Minimum Age
- Applicants must be at least 19 years old at the time of enrolment.
Educational Background
- A recognised Level 5 qualification in health informatics, healthcare management, IT, or a related discipline.
or - An undergraduate degree in a relevant field such as healthcare, computer science, information systems, public health, or statistics.
or - Applicants without formal qualifications may be considered if they demonstrate relevant professional experience, subject to a successful Recognition of Prior Learning (RPL) assessment.
Professional Experience
- Ideally, candidates will have at least 2 years’ experience working in a healthcare, health IT, or data analytics role.
- Experience may include roles in health information management, clinical coding, digital transformation projects, data analysis, or healthcare administration.
Language Proficiency
- For non-native English speakers, evidence of proficiency in English is required:
- Minimum IELTS score of 6.0 overall, with no component below 5.5, or
- Equivalent English language qualifications recognised by UK awarding bodies.
- Applicants who have studied or worked in an English-speaking environment may be exempt from formal language testing, subject to approval.
Learning outcomes for the QualCert Level 6 Diploma in Healthcare Informatics and Analytics:
Foundations of Healthcare Informatics and Digital Health
- Understand the role of informatics in modern healthcare systems
- Explore key components of digital health technologies
- Analyse the impact of digital transformation on care delivery
- Examine global trends in eHealth, mHealth, and telehealth adoption
- Assess the benefits and challenges of digital innovation in clinical environments
Data Management, Interoperability, and Electronic Health Records (EHR)
- Explore principles of health data architecture and structure
- Examine the design and use of Electronic Health Record systems
- Understand data interoperability standards (e.g. HL7, FHIR, SNOMED CT)
- Evaluate challenges of data integration across systems and providers
- Apply best practices for maintaining accurate and accessible patient records
Data Governance, Ethics, and Regulatory Compliance in Health IT
- Examine ethical considerations in the collection and use of health data
- Understand patient confidentiality, data privacy, and consent
- Explore data protection regulations (e.g. GDPR, HIPAA equivalents)
- Analyse institutional responsibilities for health information governance
- Develop frameworks for secure data handling and breach prevention
Statistical Methods and Health Data Analytics
- Apply statistical techniques to healthcare datasets
- Interpret data using descriptive, inferential, and multivariate methods
- Use visualisation tools (e.g. dashboards, charts) for clinical data presentation
- Identify data quality issues and strategies for data cleaning
- Translate analytical findings into actionable insights for service improvement
Applied Health Informatics for Quality, Safety, and Service Improvement
- Use informatics tools to monitor care quality and patient safety
- Evaluate performance metrics within healthcare operations
- Develop informatics-led quality improvement initiatives
- Apply audit and benchmarking tools in clinical settings
- Examine real-world applications of health informatics in NHS and global contexts
Predictive Analytics and Decision Support in Healthcare
- Understand principles of predictive modelling in health environments
- Explore the use of machine learning and AI in population health management
- Design and evaluate clinical decision support systems (CDSS)
- Apply forecasting tools to predict service demand and outcomes
- Assess ethical implications of AI-driven decision-making in care settings
The QualCert Level 6 Diploma in Healthcare Informatics and Analytics is designed for professionals who aim to develop expertise at the intersection of healthcare, data management, and digital technology. It is ideal for individuals looking to advance their careers by acquiring specialised skills in healthcare informatics and data analytics.
This course is suited to:
- Healthcare professionals such as nurses, allied health workers, or clinical staff seeking to enhance their understanding of digital health systems and data analysis
- IT specialists, data analysts, and health information managers working within healthcare organisations
- Clinical coders, digital transformation officers, and health informatics coordinators aiming to deepen their knowledge
- Public health practitioners involved in data-driven health policy, epidemiology, or population health management
- Managers and decision-makers in health services wanting to leverage data analytics to improve service delivery and patient outcomes
- Graduates or professionals transitioning into healthcare informatics or health data science roles from related fields such as computer science, statistics, or business analytics
By completing this diploma, learners will be equipped to play a pivotal role in the digital transformation of healthcare, ensuring that data is effectively used to support clinical decisions, improve operational efficiency, and enhance patient care.