Artificial Intelligence

Artificial Intelligence (AI) is a transformative technology that simulates human intelligence processes in machines and software. Through the use of complex algorithms and vast amounts of data, AI systems can perform tasks that typically require human cognition.

Artificial Intelligence can be defined as the ability of a machine to perform cognitive functions such as learning, reasoning, and problem-solving. It encompasses various subfields, including:


  • Machine Learning (ML): A subset of AI focused on developing algorithms that allow computers to learn from and make predictions based on data.
  • Natural Language Processing (NLP): This area enables machines to understand and respond to human languages.
  • Computer Vision: This field allows machines to interpret and understand visual information from the world.


Applications of AI in Social Care



  • AI systems can analyze medical data, assist in diagnosis, and personalize treatment options.
  • Robotics powered by AI is used in surgeries an ad patient care.

Responsible use of Generative AI

AI is a relatively new technology and we are still exploring its uses


Artificial Intelligence (‘AI’) offers many opportunities and potential benefits to adult social care.

  • Generative AI, such as Large Language Models (LLMs) that power AI chatbots, can aid with various tasks in social care.
  • BUT.....many activities in social care directly touch on peoples’ human rights and wellbeing.
  • Currently, there are no guidelines for people using social care services, care providers including family carers, tech developers or organisations integrating AI chatbots into their services, commissioners etc. on what responsible use of
    generative AI in social care entails.


As a sector, we need to co-produce actional guidelines for appropriate usage and deployment of generative AI in social care.


Oxford Statement on the responsible use of generative AI in Adult Social Care



Generative AI systems such as ChatGPT can be very useful in generating reports or copywriting content. however they should not be used where sensitive data is concerned, eg writing care plans.


Chat GPT and similar systems are open source and the data you enter is not secure.  Remember if you use these systems with sensitive data then you are likely to have a data breach and potentially could be fined


What does CQC say?


CQC have issued the following guidance on the use of AI in ASC settings

Summary

AI technologies may be used to support work activities but must not be used to process sensitive or identifiable data unless formally approved and safeguarded.

 

Key points to include/consider:

 

Key Cyber Risks

  • Data privacy & confidentiality: Entering sensitive adult social care data into AI tools (e.g., case notes, personal details) risks unintended storage, reuse, or exposure.
  • Legal & compliance risk: Potential breaches of GDPR, confidentiality duties, and safeguarding obligations if data is mishandled or leaked.
  • AI data use & storage: Inputs may be processed and retained externally, raising concerns about control, ownership, and reuse.
  • Bias & ethics: Risk of embedded bias in AI outputs, affecting decision-making for vulnerable individuals.
  • Cybersecurity exposure: Platforms handling large volumes of data become attractive targets for hackers.
  • Intellectual property risk: AI-generated content may inadvertently breach copyright, creating legal exposure.



Cyber Opportunities

  • Productivity gains: Supports drafting reports, summarising care records, and reducing admin burden.
  • Decision support: Can assist practitioners with guidance (with careful validation).
  • Innovation potential: Enables faster service design, communication, and insight generation.



Key Takeaway


AI tools like ChatGPT offer significant efficiency benefits for Adult Social Care, but must be used with strict governance, including:



  • No entry of identifiable or sensitive data
  • Clear policies on acceptable use
  • Awareness of bias and output validation
  • Strong data protection and cybersecurity controls

 

Bottom line: High potential, but currently requires controlled, cautious use in Adult Social Care settings.


How can we help?

The Data Security Protection Toolkit (DSPT)


It is important that your data protection policies and procedures are robust.


One of the ways you can do this is by completing the Data Security Protection Toolkit (DSPT)


The Data Security and Protection Tool Kit (DSPT) is an Online Assessment which all Care Providers who work with and access NHS patient data and systems (including NHS Mail) must complete annually.


The tool kit covers such areas as your privacy and data protection policies, how you store and backup data, how you secure mobile devices, business continuity in the event of a cyber incident and how you manage your IT security and support.


The West Midlands Care Association is part of a FREE national program - Better Security Better Care - to assist all CQC registered care providers with this.


To find our what you need to do next, just click on the button below.

Better Security Better Care

Digital Health Checks

As part of the national Better Security Better Care programme, we are offering FREE in-person Digital Health Check visits to review your data protection and cyber security policies.


We believe that having a Digital Health Check could provide several important benefits for care providers.



DIGITAL HEALTH CHECKS

AI Resources

Contact us

If you need additional help or advice then our dedicated digital team are here to assist

 

They are available during normal office hours (Mon - Fri 9.00am - 5.00pm). 


Use the chat facility on this website during office hours (Select department WMCA Digital Team)


or

 

Phone 01384 943000 opt 1

Email enquiries@wmca.digital