Weekly Newsletter - 24.10.2024

The sweet-spot for deploying GenAI in the public sector 🍭

Digital Health

Leading Voices 📣

Head of Agilisys Transform Darius Toomer is also attending the Local Government Association conference this week - feel free to reach out to him if you are also there!

Healthcare Policy

The UK government has launched a national consultation to shape a 10-year NHS plan, inviting input from healthcare staff and the public. Prime Minister Sir Keir Starmer and Health Secretary Wes Streeting emphasise the importance of public and staff engagement to address NHS challenges. NHS England's Amanda Pritchard highlights the unprecedented scale of this engagement effort.

The plan, informed by Lord Darzi's investigation, aims to shift focus from hospitals to community care, integrating services like GPs and district nurses. It also prioritises digital transformation and preventive care. NHS Somerset and other local bodies will coordinate regional engagement. Deputy Chief Executive of NHS Providers, Saffron Cordery, stresses the need for sustainable funding, workforce solutions, and health-social care integration. The government plans to introduce a patient passport and enhance data sharing through new laws.

LinkedIn Live Broadcast

We’re excited that Kenneth CorrĂȘa will be joining in on the conversation at Agilisys’ The Great Public Sector Makeover: AI's Answer to Systemic Challenges live broadcast on 25th November 2024!

Kenneth’s book, Cognitive Organizations, offers a practical exploration of how AI agents are transforming modern business operations. With a focus on how organisations can embrace these technologies, the book takes readers through a journey that starts with the evolution of management principles and moves towards today’s innovations.

As a speaker at Agilisys LinkedIn Live Broacast, Kenneth will showcase practical use cases that demonstrate how AI technologies solve challenges that public sector organisations are grappling with every day. This is about tools that are available right now, actively transforming how public services are delivered today.

Don’t miss the chance to be part of this conversation with Kenneth and other leaders in the public sector.

📅 25th November 2024

⏰ 3:00 PM BST

🔗 Register now!

Healthcare Technology Adoption

AI offers transformative potential for healthcare, yet adoption is slow due to ethical concerns, privacy issues, and a lack of trust. The British Standards Institution (BSI) reports healthcare has the lowest AI maturity among seven sectors, with only 36% of leaders planning significant investments. Strict regulations like HIPAA complicate AI integration, with only 18% of healthcare organisations conducting AI risk assessments.

Building trust is crucial for AI adoption. Establishing ethical guidelines and ensuring compliance with regulations can foster confidence among providers and patients. Education and workforce development are essential, yet only 17% of healthcare leaders have training programmes.

Healthcare Technology

Martha's Rule in the UK aims to empower patients and families by allowing them to request a second opinion when concerns are not addressed, enhancing patient safety. Technology can support this initiative through digital platforms, AI-driven triage, and real-time communication tools. These solutions can streamline processes, improve communication, and ensure better patient outcomes.

Implementing Martha's Rule requires secure and ethical digital solutions, compliant with GDPR standards, to protect sensitive information. Data analytics can monitor the rule's effectiveness, identifying areas for improvement. Educational resources via NHS channels can inform patients and families about their rights and the process for requesting second opinions, fostering a safer and more responsive healthcare system.

Healthcare Regulation Policy

The FDA emphasises the need for coordinated AI regulation across industries and international bodies, aligning U.S. standards with global ones. It co-leads AI initiatives to promote best practices and accommodate AI in clinical trials. The Agency stresses the importance of flexible mechanisms to keep pace with AI advancements and calls for transparency and proficiency among regulators.

The FDA highlights the challenges of regulating AI, particularly large language models (LLMs), due to their potential unforeseen consequences. It underscores the necessity for specialised tools to assess LLMs and balance patient health outcomes with financial optimisation. The Agency acknowledges AI's unique challenges and opportunities, urging all sectors to rigorously address AI's safety and effectiveness.