The flagship
Monthly
Monthly editions of The Value Forge clinical intelligence review
The Monthly is The Value Forge’s flagship publication — the deep cross-domain review. It synthesises evidence, patterns, and findings across all five domains into a structured deep dive, published every month and substantially more detailed than the weekly synthesis.
Each edition includes: editorial; pattern recognition; domain-by-domain review (D01–D05); absence detection; cross-domain synthesis; an international benchmark of NHS practice against world best practice; a synthesising observation; and a horizon scan.
Current edition · Edition 4 · October 2026
Digital design makes community care more reliable; what it does to the patient's time is still unmeasured
Across five domains, the measures a protocol or device can move are moving, while the measures a patient would recognise are flat, untested or unmeasured, and remote monitoring relocates clinical work to where nobody has costed it.
Read the edition →Previously
- Edition 3 · September 2026
Virtual wards work for who has been tested — not yet for who the NHS most needs to reach
This month's evidence shows virtual wards and Hospital at Home working well for the conditions and populations already studied — and shows, with unusual precision, that the model's costs land on unpaid carers and community nursing exactly where it is now being extended.
- August 2026
Deprivation and rurality are active drivers of worse outcomes — and AI clinical tools risk adding a new one
This month's deep dive finds deprivation and rurality behaving as active, independent drivers of worse clinical outcomes across four countries and four domains, alongside an emerging technology-mediated equity risk in AI-enabled clinical documentation tools that has not yet been matched by a mandatory pre-deployment safeguard.
- July 2026
Training posts committed, allocation undecided: this month's central workforce tension
This month's clinical intelligence finds national policy committing to expand the specialist training pipeline at the exact moment converging evidence suggests the more urgent near-term constraint is how existing capacity is identified and deployed.
