NHS AI Strategy Implementation: Lessons Learned
Case study documenting the successes and challenges of implementing the NHS AI strategy across four regional health boards.
Introducing CURACO LENS
Where medicine is held to account.
Medicine advances only when it is interrogated. CURACO LENS places research, policy, and practice under the full scrutiny of the CURACO framework – examining not just what the evidence claims, but whether it deserves to be believed. Clinical safety, ethical integrity, methodological rigour, and real-world applicability are not assumptions here. They are tests.
Every resource on CURACO LENS has been put through that examination. Infographics, slide decks, frameworks, and policy tools – each produced to be used, shared, and built upon by professionals and patients who expect more from healthcare publishing.
CURACO AI
For the clinical AI audience.
Infographics, slide decks, frameworks, and policy tools examining how artificial intelligence is being built, validated, deployed, and held to account in clinical practice. From algorithmic bias and the regulatory vacuum to the labour conditions behind every training dataset – every resource is interrogated against the CURACO framework before it appears here.
Wearable Health Data Integration Framework
Technical framework for integrating wearable device data streams into clinical monitoring systems while maintaining data quality standards.
The Professional’s Guide to AI Literacy
Practical guide helping clinicians understand AI terminology, evaluate AI tool claims, and participate effectively in procurement decisions.
AI in Emergency Triage: Outcomes Analysis
Report on the first 12 months of AI-assisted triage in two emergency departments, showing a 28% reduction in wait-to-treatment times.
Building Patient Trust in AI-Assisted Care
Case study examining how three NHS trusts successfully introduced AI-assisted diagnostics while maintaining high patient satisfaction scores.
CURACO X
For the profession that does the work.
Training, workforce, governance, and the human conditions of clinical work. Frameworks and tools for the doctors, nurses, allied health professionals, and educators reshaping medicine from inside the institutions that train them. The evidence, the models, and the practical steps – already published, already tested.
NHS AI Strategy Implementation: Lessons Learned
Case study documenting the successes and challenges of implementing the NHS AI strategy across four regional health boards.
Wearable Health Data Integration Framework
Technical framework for integrating wearable device data streams into clinical monitoring systems while maintaining data quality standards.
The Professional’s Guide to AI Literacy
Practical guide helping clinicians understand AI terminology, evaluate AI tool claims, and participate effectively in procurement decisions.
AI in Emergency Triage: Outcomes Analysis
Report on the first 12 months of AI-assisted triage in two emergency departments, showing a 28% reduction in wait-to-treatment times.
Building Patient Trust in AI-Assisted Care
Case study examining how three NHS trusts successfully introduced AI-assisted diagnostics while maintaining high patient satisfaction scores.
CURACO+
For the people who use the NHS.
Plain-English explainers, evidence summaries, and practical guides for patients, families, carers, and the public. Honest information about sleep, pain, medicines, and the questions that arrive with a test result – written by clinicians, never preachy, never selling anything. Designed to be read by the person waiting for the appointment, not the person running it.
NHS AI Strategy Implementation: Lessons Learned
Case study documenting the successes and challenges of implementing the NHS AI strategy across four regional health boards.
Wearable Health Data Integration Framework
Technical framework for integrating wearable device data streams into clinical monitoring systems while maintaining data quality standards.
The Professional’s Guide to AI Literacy
Practical guide helping clinicians understand AI terminology, evaluate AI tool claims, and participate effectively in procurement decisions.
AI in Emergency Triage: Outcomes Analysis
Report on the first 12 months of AI-assisted triage in two emergency departments, showing a 28% reduction in wait-to-treatment times.
Building Patient Trust in AI-Assisted Care
Case study examining how three NHS trusts successfully introduced AI-assisted diagnostics while maintaining high patient satisfaction scores.