Embed
The Embed pathway is for anyone who is responsible for managing or supporting others (e.g. supervisors, team leaders, first level managers), or anyone aspiring to develop their knowledge beyond the Explore pathway. This pathway looks at the practical implementation of AI solutions, and the risks and challenges that can come with this.
If you aren't sure you understand any of the content, jump back to the Explore pathway and use the resources there to develop your knowledge before carrying on.
The Embed Pathway
Step 1 - AI in Scotland
| Read |
The Scottish AI Alliance have developed this introductory guide to highlight the opportunities and benefits of AI, as well as the risks and ethical considerations that must be factored in. The guide also looks at the current use of AI across Scotland – pay particular attention to the ‘healthcare’ section. |
| Task |
| Your organisation may also have it’s own guidance on how to use AI safely with consideration of risks and ethical factors. Find out what support is available locally and ensure your colleagues are also aware of this. |
Step 2 - AI in Practice
| Read |
The Scottish AI Register provides information on the AI systems in use or in development within the Scottish public sector. For each AI system on the register, there is a helpful breakdown of the data sets used, how the system works and how human oversight is factored in. Browse the register to find relevant examples to help you understand AI in practice. Link: The Scottish AI Register |
| Question |
| Having explored the examples on the register, where do you think there might be opportunities to utilise AI across your work or the services you provide? |
Step 3 - Checking AI Outputs
| Reflection |
AI tools can produce useful outputs, but they can also be inaccurate, biased, misleading or inappropriate. As AI is becoming more widely used across health and social care, so all staff not just technical specialists have a responsibility to check and challenge outputs before relying on them. What would the impact of poor-quality AI outputs be on your service, team or organisation? |
| Read |
Read the article “How to validate AI output: methods, checklists and tools” from VerifyWise which explains why AI outputs need to be checked and outlines approaches such as human review, consistency checks, safety filters and fact-checking against trusted sources. Link: How to validate AI output: methods, checklists and tools | AI Governance Lexicon | VerifyWise |
| Question |
| What steps could you take to make sure AI outputs are accurate, appropriate and safe within your role, team or service? |
Step 4 - Transforming Health and Social Care
| Reflection |
AI is increasingly changing how people access services and how staff carry out everyday tasks. This includes directing patients to appropriate services, producing draft consultation notes and reducing time spent on routine administration. Where could AI help reduce workload, improve access or create more time for direct care and support within your team or service? |
| Read |
Read this BBC News article exploring how AI is being introduced across NHS services in England. It considers the potential use of AI-supported patient triage, automated clinical note-taking and workplace productivity tools, alongside important concerns such as accuracy, confidentiality, patient safety and digital exclusion. Link: NHS app to use AI to determine which service best for patients - BBC News |
| Task |
Consider the AI triage tool described in the article and reflect on the following:
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Step 5 - Keeping People at the Heart of AI (New)
| Reflection |
AI can help improve efficiency, support decision-making and enhance services across health and social care. However, its successful use depends on clear boundaries, human oversight and responsible adoption. The greatest value comes when AI supports professional judgement and person-centred care, helping people and services achieve better outcomes. |
| Read |
Read the Digital Care Hub case study “LDC Care: the ‘human-in-the-loop’ approach to AI.” Discover how LDC Care uses AI to support the creation of care plans from daily care notes while ensuring staff and the person receiving care remain central to reviewing and shaping the final plan. The case study also highlights the importance of building workforce capability, maintaining oversight and using AI safely and responsibly in practice. Link: LDC Care: the 'human-in-the-loop' approach to AI - Digital Care Hub |
| Task |
After reading, reflect on:
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| Reflection |
| This case study demonstrates that the value of AI lies not in replacing people, but in supporting them. Successful adoption depends on clear governance, workforce digital and data capability and keeping people at the centre of decision-making and care. |
What Next?
You have now completed the Embed pathway.
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Further Resources
Find further resources on artificial intelligence on the Digital and Data Resource Hub.
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