Datafront Skill Surge: Health data analysis

Course description

What do we mean when we talk about administrative data? Why is administrative data considered such a powerful tool?

Routinely collected administrative data captures interactions across the entire population, offering an unparalleled breadth and depth of information.

This on-demand series aims to equip researchers with the knowledge and skills to harness data for societal and sustainable change. This series covers important topics such as the use of administrative data in policymaking, circular economy models, climate resilience, and the impact of digital media on behaviour, with emphasis on the importance of interdisciplinary collaboration and innovative strategies to address global challenges.

Participants will gain insights from experts, study case studies, and explore practical examples that illustrate how data-driven approaches and emerging technologies are transforming urban planning, agriculture, and health – that will empower researchers to shape the future of the data landscape!

• Session 23 will explore how the analysis of health data transforms healthcare, enabling more informed decision-making, efficient resource allocation, and impactful interventions.

 

Learning mode

On-demand, self-paced 

 

Who should attend

This course is intended for:

• Data Analysts and Researchers: Those working with administrative or big data who want to deepen their understanding of its characteristics and uses.
• Policymakers and Government Officials: Decision-makers who rely on data to shape public policies.
• Public Sector Managers: Managers in government institutions seeking to optimise data usage for service improvements.
• Health and Social Care Professionals: Individuals looking to use data for improving service delivery and outcomes.
• Urban Planners and Public Health Professionals: Individuals interested in using administrative data to inform planning and health policies.

 

Aims and objectives

• Understand Foundational Concepts: Gain a comprehensive understanding of the principles, sources, and types of health data analysis.
• Address Challenges and Ethical Considerations: Identify and overcome barriers such as data silos, quality issues, and ethical dilemmas.
• Leverage Data for Real-World Impact: Examine how health data can guide decision-making in public health policies, resource allocation, and personalised care.

 

Skills area and competencies

Based on the Datacise Open Learning framework, the relevant skills and competencies for this video include:

Skills Areas:

• Data Integration and Interoperability: Master the techniques required to combine and harmonise datasets from diverse sources, ensuring consistency and reliability.
• Analytical Problem-Solving: Develop skills in using advanced analytics to solve complex public health challenges.
• Ethical Governance: Gain expertise in implementing policies that balance innovation with privacy, consent, and fairness.

Competencies:

• Policy Insight Development: Skills to translate analytical findings into actionable recommendations for public health policies and strategies.
• Ethical Oversight: Capacity to assess and mitigate risks related to privacy, bias, and data misuse, ensuring adherence to ethical standards.

 

Pre-requisite

• Understanding of Health Systems: Awareness of public health structures, administrative processes, and clinical workflows.
• Digital Proficiency: Comfortable navigating and using digital tools, including data management software and online visualisation platforms.
• Awareness of Ethical Principles: Basic understanding of privacy laws, consent protocols, and equity considerations in health data.

 

Learning outcomes

• Data Mastery: Develop the ability to analyse and interpret diverse datasets to uncover trends, predict outcomes, and inform public health interventions.
• Ethical Analysis: Enhance decision-making skills by integrating ethical considerations, ensuring fairness, inclusivity, and transparency in health data practices.

 

Transferable skills

• Collaboration Across Disciplines: Work effectively with interdisciplinary teams to integrate diverse perspectives in health data projects.
• Adaptability to Emerging Trends: Stay informed about technological advancements and adapt to evolving tools and methodologies.
• Communication and Influence: Develop the ability to present complex data findings to stakeholders clearly and persuasively, bridging the gap between technical insights and actionable decisions.

 

Assessment

Multiple choice quiz to self-check understanding. 

 

This training content was originally developed and produced by Professor Adam Chee, Datacise Education Lead at Swansea University, with narration enhanced by advanced text-to-speech technology.