Advanced Diploma in Healthcare Informatics & Analytics L6
The QualCert Level 6 Diploma in Healthcare Informatics and Analytics is a professional qualification designed to equip learners with the knowledge and practical skills needed to manage, interpret, and analyse healthcare data. As healthcare systems continue to adopt digital technologies, the demand for skilled professionals who can support data-driven decision-making is rapidly increasing. This course provides a strong pathway for individuals aiming to work at the intersection of healthcare, data, and technology.
Aligned with the Regulated Qualifications Framework (RQF) at Level 6, this diploma is equivalent to the final year of a UK undergraduate degree. It offers a comprehensive understanding of healthcare informatics and analytics, including data management, electronic health records (EHR), data governance, and privacy compliance. Learners also explore analytical techniques that support evidence-based practice and improve healthcare outcomes.
The course is delivered through flexible learning methods, including guided study, practical assignments, and case-based exercises. Assessment is based on coursework and real-world projects rather than formal exams, ensuring practical skill development. This forward-thinking qualification prepares learners to play a vital role in modern healthcare by using data effectively to enhance patient care and system performance.
Program Framework
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 |
Eligibility Criteria
The entry requirements for the QualCert Level 6 Diploma in Healthcare Informatics and Analytics are designed to ensure that learners are well-prepared for advanced academic study and practical application in healthcare data environments.
- Minimum Age:
Applicants must be at least 18 years old at the time of enrolment. This ensures learners have the maturity and responsibility required for a professional-level qualification. - Educational Background:
A Level 5 qualification in healthcare, information technology, data science, or a related field is recommended. Equivalent qualifications or prior learning may also be considered to meet the academic requirement. - Experience:
Some prior experience in healthcare settings, IT systems, or data handling is beneficial. This helps learners better understand course concepts and apply them in real-world scenarios. - Professional Experience:
Exposure to healthcare informatics, electronic health records, or data analytics tools is an advantage. However, candidates without direct experience may still apply if they meet other criteria. - Language Proficiency:
Learners should have a good command of English to understand course materials and complete assessments effectively.
Proficiency Targets
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
Ideal Participants
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.
Assessment and Verification
Assessment Framework :
This qualification consists of 6 mandatory assignments designed to assess the learner’s understanding and practical application of the required skills and knowledge. The key elements of the assessment framework include:
- Comprehensive Assignment Structure:
The assignments are designed to cover a range of topics within the qualification, ensuring that learners demonstrate their competence across all essential areas. - Pass Requirement:
Learners must successfully complete all 6 assignments to meet the requirements for certification. Each assignment must meet the specified criteria and demonstrate sufficient understanding and application of the subject matter. - Assessment Process:
Each assignment is reviewed and marked by a qualified assessor, with feedback provided to support learner development. - Final Completion Criteria:
The successful completion of all assignments is necessary for certification. Only learners who meet the required standards across all assignments will be awarded the qualification.
Quality Assurance & Verification:
QualCert applies a rigorous, multi-layered quality assurance system to ensure the reliability, consistency, and integrity of all assessments and results.
1. Internal Quality Assurance (IQA)
Conducted by the approved training centre:
- Assignment Evaluation:
Centre-approved Assessors and Internal Quality Assurers (IQAs) review the assignments to ensure they meet the assessment criteria and learning outcomes. - Standardisation:
Regular standardisation sessions are held to maintain consistency in assessment and marking practices across all centre staff. - Feedback & Support:
IQAs ensure that learners receive constructive feedback to aid their progress and improve future submissions.
2. External Quality Assurance (EQA)
Conducted by QualCert:
- Independent Verification:
QualCert’s External Quality Assurers (EQAs) verify the completed assignments and assess the quality and fairness of the marking process. - Centre Audits:
EQAs audit the centre’s compliance with QualCert’s quality assurance standards, reviewing assessment practices, learner records, and overall delivery. - Final Certification:
After satisfying the EQA’s verification process, QualCert will officially issue the certification to the learner.
QualCert delivers all qualifications exclusively through its network of officially approved training centres.
For registration or further information, please contact your nearest approved training centre.