Artificial Intelligence (AI) is making significant inroads into primary care, offering practical solutions to longstanding challenges. From automating repetitive tasks to analysing vast datasets, AI tools are improving operational efficiency, reducing administrative burdens, and enabling smarter clinical decision-making. For Integrated Care Boards (ICBs), the challenge lies in adopting and scaling these technologies effectively while maintaining consistency, governance, and measurable outcomes. 

At Redmoor Health, we’ve been at the forefront of AI developments in primary care, helping ICBs refine their strategies and implement solutions that deliver real impact. In the summer of 2024, we launched the AI Summer Series, a suite of webinars designed to highlight the practical applications of AI in primary care. These sessions explored how AI technologies such as GPTs, Robotic Process Automation (RPA), and Microsoft Co-Pilot could transform the day-to-day operations of practices.  

Building on the success of the summer series, we hosted a GPT Hackathon in October as part of our Digifest event. This hands-on session brought together clinicians and innovators to develop custom GPT technologies tailored to primary care use cases.  

Our commitment to supporting ICBs in their AI journey goes beyond showcasing technologies—we’re actively working with our customers to refine their AI strategies, ensuring tools are implemented in a way that delivers measurable benefits and aligns with local goals. 

Applications of AI in Primary Care

AI is already addressing critical issues across primary care, demonstrating its potential to improve workflows and patient outcomes. 

1. Automating Administrative Workflows
   Robotic Process Automation (RPA) is streamlining time-intensive processes such as GP registrations, appointment reminders, and prescription management. This automation reduces errors, improves efficiency, and allows administrative teams to focus on higher-value activities.
2. Reducing the Documentation Burden
   Ambient scribes use AI to transcribe and summarise consultations in real-time, directly updating electronic medical records. This removes one of the biggest stressors for clinicians, giving them more time to focus on patients.
3. Enhancing Patient Triage
   Dynamic AI-powered triage systems can assess patients in a conversational format, directing them to the most appropriate care pathway. Unlike static forms, these tools adapt based on patient responses and integrate with digital telephony, ensuring accessibility for all.
4. Driving Proactive Care
   AI-driven population health analytics enable practices to predict patient demand, identify at-risk groups, and allocate resources effectively. These insights empower practices to move from reactive to preventative care.
5. Supporting Clinical Decision-Making
   AI tools offer real-time insights for clinicians, such as highlighting drug interactions, recommending treatment pathways, or flagging critical cases. By integrating into existing workflows, these systems enhance decision-making without adding complexity.

Challenges in AI Adoption

For ICBs, the potential of AI is clear, but adoption requires overcoming specific barriers: 

• Governance and Compliance: Ensuring systems meet NHS standards for data protection, clinical safety, and ethical use. 
• Market Complexity: Identifying the right technologies in a crowded market without overloading practices with unnecessary tools. 
• Consistency: Scaling solutions across multiple practices while maintaining a standard approach to avoid fragmentation. 
• Staff Readiness: Supporting teams to adopt and use AI tools effectively, addressing resistance and skill gaps. 

How Redmoor Health Supports ICBs

We understand that AI adoption requires more than technology—it demands planning, engagement, and measurable outcomes. Redmoor Health provides end-to-end support for ICBs, ensuring AI initiatives are practical and aligned with healthcare priorities. Our Services include: 

• Policy and Governance Development: We help create frameworks that align with NHS standards, covering clinical safety, data security, and ethical considerations. 
• Market Consultation: We guide ICBs through the vendor landscape, helping evaluate and select tools that address specific challenges. 
• Programme Management: Our team works alongside ICBs to structure AI initiatives with clear objectives, timelines, and evaluation criteria. 
• Project sign off: Through creating a sandbox approach, approved AI projects can be tested in a proof of scope concept, before full roll out across your ICB/PCN. 
• Staff Training and Support: We deliver training programmes and create resources to ensure clinical and administrative teams feel confident using new tools. 
• Measuring Impact: We define metrics to assess efficiency gains, patient outcomes, and cost savings, ensuring AI initiatives deliver measurable value. 
• Expert Insights: Partnering with leaders in AI and healthcare, we ensure ICBs benefit from the latest thinking and innovations. 

Why Redmoor Health?

Adopting AI in primary care is about more than deploying technology. It’s about solving specific problems, improving workflows, and enabling better care for patients. At Redmoor Health, we bring the expertise to bridge the gap between strategy and implementation, helping ICBs build robust frameworks for success. 

If your ICB is exploring AI initiatives, we can provide the guidance, support, and expertise needed to make them a success. Let’s work together to transform primary care through smart, thoughtful adoption of AI.