Health and care intelligence specialist (level 7)
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Information about Health and care intelligence specialist (level 7)
Take data on individual or population health and use of services and other forms of evidence and turn it into health and care intelligence.
- Knowledge, skills and behaviours
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View knowledge, skills and behaviours
Knowledge
- The application of advanced level applied statistics, epidemiology and analysis.
- The statistical, epidemiological, social and scientific concepts underpinning the interpretation of health data to produce intelligence and the impact of these on both people and organisations.
- The strengths and weaknesses of statistical and epidemiological methods, analytical tools and approaches.
- The principles of developing data-driven models to understand activity, financial impact or outcomes.
- Economic forecasting, economic evaluation and scenario modelling of population health needs, resource and the rationale for longer-term investment in health and care delivery.
- A wide range of health and care data sources (e.g. demographic, health, social care, economic, finance, local and national NHS and other relevant data sources) and their relative strengths, weaknesses and uses.
- Clinical terminologies in common use across the health and care sector.
- Health and care data standards, the Data Dictionary, and data flows across the NHS and social care system; including the latest developments in these areas.
- The design principles, and technical aspects of, systems for the input, storage and dissemination of health and care statistical and epidemiological information.
- Health and care systems and processes, operational structures and patient pathways (e.g. hospital activity systems).
- The context of NHS, central and local government intelligence, including organisational structures and responsibilities, planning cycles, common policy issues, purpose of different types of quantitative assessments, audits and plans.
- The major factors influencing health needs and inequalities, including health behaviours and the wider determinants of health.
- The principles of using effective written and oral communications to influence others.
- The information needs of decision-makers (e.g. in the NHS, central and local government) and how they use information to support decision-making and how the publication of health information may impact the wider population.
- The key principles of partnership working, the basics of negotiation and different organisational cultures.
- Sources of evidence and examples of best practice and how to access them.
- Key techniques for assessing evidence and examples of best practice (e.g. critical appraisal, systematic reviews, meta-analysis and economic evaluation).
- The requirements for responsible, legal and ethical access and use of health and care data, including data protection considerations, protection of identifiable personal healthcare data, and understanding and consideration of the risks of statistical disclosure issues especially when presenting and publishing health information.
- The legal implications of sharing data and data linkage across organisations and the associated requirements, such as data sharing agreements and data mapping audits.
- The role of effective leadership in an organisation and how leadership differs from management.
- The role of the analytical function within an organisational structure and the strengths and weaknesses of different models for organising analytical teams.
- Organisational theory and behaviour and theories of organisational change.
- The processes by which resources are effectively managed, including how to analyse and interpret budget reports, how costs for services are calculated, and how to prepare simple financial statements.
- The principles of effective project management and commonly used project management approaches.
- How adults learn and how to design effective training in areas of healthcare analysis and intelligence.
- How to identify gaps in the knowledge and skills required to fulfil analytical and intelligence roles in the health and care system.
- Coaching and mentoring techniques to support the effective learning and development of others.
- The importance of continuing professional development and how to maintain specialist knowledge and practice in an ever transforming environment.
- The key issues to be considered when balancing patient’s rights versus the public interest, including the acceptability of access to NHS data by different public and private agencies, and how this is discussed in the public domain.
- Local child and adult protection procedures and who to contact for further advice.
Skills
- Collect data by utilising a variety of tools (e.g. databases, software systems, APIs, digital devices).
- Extract, import, clean, and manipulate a wide range of quantitative and qualitative data.
- Undertake advanced statistical and epidemiological analysis.
- Interpret and present advanced statistical and epidemiological analyses being mindful of the risks associated with presenting and publishing health information.
- Undertake linkage of health and care data accurately and in accordance with the relevant information governance requirements.
- Design and specify data flows, collection, storage and collation mechanisms for both qualitative and quantitative data.
- Develop data visualisations appropriate for a range of audiences and contexts using a variety of analytical tools including statistical programming software and industry standard packages (e.g. R, Tableau, PowerBI).
- Professionally interpret and present health and care intelligence analyses and recommendations in a well structured report.
- Formulate analysis questions and hypotheses which are answerable given the data available.
- Investigate patterns and variations in determinants, diseases, and other factors affecting health and care outcomes.
- Design and undertake surveys, audits or research (e.g. to investigate patterns of disease or support service development).
- Review, and critically appraise evidence and research including survey design and analysis. Summarise and disseminate relevant literature.
- Work with users of information to clarify their information needs, focusing on understanding the problem to solve or decision to inform, and tailor reports and presentations accordingly.
- Provide advice and guidance to internal and external stakeholders at all organisational levels, on data collection, analysis and interpretation.
- Develop and deliver management/Board level presentations which influence senior decision makers, both non-technical and technical.
- Communicate sensitively, accurately and appropriately to audiences from technical and non-technical backgrounds.
- Comply with, implement and advise on local and national data protection and confidentiality legislation, policies, procedures and any other relevant legal frameworks.
- Demonstrate effective leadership and change management skills to influence the use of analysis within an organisation, managing analytical teams and adhering to the principles of continuous improvement.
- Evaluate the significance of human factors in the effective development and implementation of organisational strategies for collection, analysis and use of data.
- Develop and communicate a vision of how data, intelligence and evidence can be used to influence and improve decision making in an organisation.
- Develop effective partnership working arrangements with a range of colleagues across departments and organisations, in particular the public sector and voluntary sectors and academia.
- Manage the resources of an analytical team, including staff and budget management.
- Support the professional development of others in the health and care system.
- Design and deliver effective training and evaluate its impact.
- Apply a range of coaching interventions and techniques relevant to the health and care system, selecting the most appropriate method to meet the needs of an individual or group.
- Determine when mentoring is appropriate for others in the health and care system and either act in a mentoring capacity or identify the appropriate individual(s) to act as mentors.
- Develop, maintain and enhance activity and financial and outcomes models, sense checking and refining the model based on various scenarios and advising on the best option for planning future activity and income or expenditure.
- Apply a range of project management techniques to lead and / or manage complex health and care intelligence projects.
- Protect and safeguard vulnerable people and promote the welfare of children, young people and vulnerable adults.
- Apply economic principles and tools to calculate value for money by determining costs, benefits and return on investment of interventions and services.
Behaviours
- Treat people with dignity, and respect diversity, beliefs and culture.
- Act with integrity with respect to ethical, legal and regulatory frameworks ensuring the protection of personal data, safety and security.
- Be customer focused both within own organisation and with external stakeholders.
- Be self-directed in learning and reflection to constantly improve and work towards evidence-based best practice.
- Be adaptable, reliable and consistent, demonstrating discretion, resilience, self-awareness and team working.
- Act as a role model to peers and demonstrate leadership.
- Constructively challenge inappropriate behaviour and use of information when necessary.
- Apprenticeship category (sector)
- Health and science
- Qualification level
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7
Equal to master’s degree - Course duration
- 36 months
- Maximum funding
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£17,000
Maximum government funding for
apprenticeship training and assessment costs. - Job titles include
-
- Senior (or principal) information analyst
- Senior cancer information analyst
- Senior information scientist
- Senior business intelligence analyst (often used for NHS roles)
- Insight and intelligence manager.
View more information about Health and care intelligence specialist (level 7) from the Institute for Apprenticeships and Technical Education.