Our bespoke approach is tailored exclusively to the UK healthcare sector. Whether you’re part of the NHS or a private provider, we empower you to unlock the full potential of AI with ease
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Achieve tangible results in weeks, not months. GreenM’s expertise in healthcare and AI development, coupled with our unique collaborative approach, enables organisations to implement functional AI solutions in just 4–6 weeks
WEEK
Discovery
We assess your unique needs and opportunities
WEEK
Infrastructure setup
We choose and pre-train the AI model in secure infrastructure
WEEK
prototyping
We deliver a working prototype for assessing the impact of AI implementation
WEEK
Discovery
We assess your unique needs and opportunities
WEEK
Infrastructure setup
We choose and pre-train the AI model in secure infrastructure
WEEK
prototyping
We deliver a working prototype for assessing the impact of AI implementation
Designed to meet the data protection standards of UK healthcare, our private AI installation ensures sensitive information remains securely within your organisation. By preventing unauthorised access or misuse, we help you safeguard patient trust and confidentiality
Using public AI models for sensitive healthcare data entails significant risks, including privacy breaches. Moreover, these models are subject to unpredictable changes driven by multiple contributors, leading to inconsistent and unreliable responses that can undermine care quality and patient trust
The data remains securely within your private infrastructure, ensuring complete control and eliminating unauthorised access to sensitive patient information. The private AI model is pre-trained on your historical data, delivering accurate and high-quality responses, and tailored to your needs
GreenM simplifies AI adoption, empowering healthcare teams to seamlessly integrate AI into their daily workflows. Our solutions address key challenges, such as reducing waiting times, optimising patient flow, and improving care quality — all without increasing staff workload. Enhance the efficiency of care delivery within NHS frameworks with tailored AI solutions
Achieve better staff utilisation with a 30% reduction in unfilled shifts and overtime costs. Optimise resource allocation to unlock up to a 25% increase in productivity, ensuring a more balanced workload and improved efficiency across healthcare team.
The NHS is struggling with record-long waiting lists. Patients often face delays of 8-12 weeks or longer for elective procedures and specialist consultations
Leveraging AI can lead to a 30% reduction in patient wait times and a 25% improvement in patient satisfaction, addressing critical challenges in healthcare delivery.
Billing errors lead to delays, claim rejections, and financial losses, with up to 15% of claims affected
AI solutions can improve billing accuracy to 98%, reduce administrative workload by 40%, and accelerate payment cycles by 30-40%.
Over 70% of healthcare professionals identify system incompatibility as a major barrier to care coordination
Enhance data integration and reduce manual workloads by 50%. These improvements drive a 20% boost in operational efficiency across departments and up to a 15% reduction in unnecessary diagnostic tests through better data availability and streamlined processes.
The AI-Powered Virtual Health Assistant provides:
We deployed the AI system directly within the organisation’s infrastructure, ensuring that all sensitive patient and operational data remains secure, fully controlled, and compliant with internal policies and healthcare regulations
By fine-tuning the AI model with the organisation’s existing data, we made it highly precise and responsive to the specific needs of the organisation, ensuring more accurate and context-specific outputs
We designed an intuitive interface that allows teams to ask questions in plain language and receive clear, actionable insights. This empowers decision-makers to retrieve key insights without relying on technical experts
The implementation delivered significant advancements in operational efficiency and routine automation, achieving the following outcomes:
Faster access to critical data enabled quicker decision-making and care delivery
By automating repetitive tasks, healthcare professionals could redirect their focus to high-value, patient-centered activities
Improved workflows and seamless access to information led to higher-quality care and increased patient satisfaction
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