About
Unwritten Health

The missing voices in healthcare data

Many people are talked about. Few are truly listened to. Unwritten Health exists to change that. We help organisations listen properly and use what they hear to improve care.

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The problem we are solving

Healthcare uses a lot of data. But much of real life is missing. Numbers can tell you what happened. They do not explain why it happened. They do not show fear, trust, money worries, language barriers, or daily struggles. When these experiences are missing, decisions are made without fully understanding the people they affect.

more detail

Introducing
the Equity Engine

Equity Engine is our platform. It helps organisations understand people’s experiences and use that knowledge to make better choices. It is built to support action, not just reports.

What the platform does

  • 01
  • Listening to communities

    People share their experiences in safe and respectful ways.

  • 02
  • Finding patterns

    Common issues and barriers are identified across many voices.

  • 03
  • Clear dashboards

    Insights are shown in simple, easy-to-read views

  • 04
  • Helpful summaries

    Information is shared in ways that support real decisions.

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Who this helps

NHS Trusts

Find where people are being left out and why.

01

Public health teams

Design programmes people actually use.

02

Pharmaceutical market access and HEOR teams

Strengthen evidence by understanding real patient experience, unmet need, and barriers to access.

03

Biotech market access teams

Support value stories and access decisions with lived experience data.

04

Universities and researchers

Include real experience alongside research data.

05

What makes us different

We do not guess what people think. We do not take data without permission. We do not treat stories as numbers. People choose to share. We listen carefully. We use insight responsibly

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community
insight surveys

Our platform doesn’t scrape public data, it learns from lived experiences collected through ethical, consent‑driven engagement with diverse communities.

custom
data dashboards

Our platform doesn’t scrape public data, it learns from lived experiences collected through ethical, consent‑driven engagement with diverse communities.

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experience
sentiment tracking

Our platform doesn’t scrape public data, it learns from lived experiences collected through ethical, consent‑driven engagement with diverse communities.

How it works

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01
People share experiences

Through surveys, interviews, or diaries

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02
Insights are identified

Patterns and themes are found.

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03
Information is shown clearly

So teams can understand it easily.

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04
Action is taken

To improve services and outcomes

Healthcare works best when people are heard.
Unwritten Health helps make that happen.

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Delivering Meaningful Impact

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02 May 2025

Inclusion as Clinical Infrastructure: How to Build a Data Layer That De‑Risks Trial Design

If you spend your days worrying about clinical trial timelines, you already know the statistic by heart: most studies miss their original enrolment targets, and many end up needing protocol amendments just to get over the line. What is still less widely acknowledged is that this is not random bad luck. In trial after trial, the same pattern shows up: the protocol was designed without a clear picture of whether the people who carry the highest burden of disease could realistically take part, or would want to

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02 May 2025

Using Lived-Experience Data to De-Risk Protocols Before You Lock the Design

Clinical development teams talk a lot about patient centricity. In practice, patient input still arrives late, in small quantities, and in formats that are hard to use. A handful of quotes from an advisory board, a quickly convened focus group, a few slides summarising survey results. These fragments might shape a line in the informed consent form or tweak a recruitment flyer, but they rarely change the core design of a protocol.

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02 May 2025

Portfolio‑Level Moves That Make Trials More Representative

Most conversations about clinical trial diversity happen study by study. A protocol struggles to recruit, a post‑hoc review reveals under‑representation in key subgroups, or a particular trial draws public or regulatory criticism. Teams rally, fix what they can, and move on. The next study repeats many of the same mistakes.

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