Inspiration

Healthcare letters are often difficult for patients to understand. Many people receive appointment letters, referral updates, waiting-list notifications, and prescription-related communications without fully understanding what action they need to take next.

Research showed that a significant proportion of adults struggle with health literacy, while millions of NHS appointments are missed every year due to confusion around healthcare communications. CareClarity was inspired by a simple question:

"What if every patient could instantly understand what their healthcare letter is asking them to do?"

Rather than creating another medical chatbot, we focused on a safer and more practical problem: helping patients understand healthcare administration and navigate the next steps with confidence. This aligns directly with the Health Impact challenge of making NHS administration easier for patients.

What it does

CareClarity is an AI-powered healthcare administration companion that converts confusing NHS-style healthcare letters into a structured patient dashboard.

The platform can:

Extract appointment dates, times, locations and departments Generate plain-English summaries Create actionable patient checklists Highlight missing or unclear information Produce appointment preparation guidance Generate safe questions patients may wish to ask clinicians Translate content into multiple languages Generate summaries for carers and family members Explain confusing healthcare administration terminology

CareClarity maintains a strict safety boundary and provides administrative guidance only. It never diagnoses conditions, recommends treatments or provides medical advice.

How we built it

CareClarity was built as a full-stack web application using:

React TypeScript Vite Tailwind CSS Vercel deployment Z.ai GLM API

Z.ai acts as the core intelligence engine throughout the workflow.

Healthcare letters pass through multiple AI-powered stages:

Information extraction Plain-English translation Action checklist generation Appointment preparation guidance Clinician question generation Safety validation

Every response is validated using structured schemas and an additional safety review layer before being shown to users. If validation fails, CareClarity returns a safe fallback response rather than generating potentially unsafe information.

We also used:

Manus for research, personas, competitor analysis and workflow design Fotor for marketing materials and visual assets Cursor to accelerate development and interface refinement Challenges we ran into

One of the biggest challenges was designing a healthcare-focused AI product without crossing into clinical advice.

We had to ensure that:

The system never diagnoses conditions The system never recommends medications The system never suggests treatments Outputs remain administrative rather than medical

Another challenge was handling the huge variation in healthcare letters. Different hospitals, departments and services use different wording and structures, making reliable extraction difficult.

We also needed to create multilingual support while preserving critical information such as appointment dates, locations and contact details.

Finally, building a strong safety validation workflow within the limited hackathon timeframe required careful prompt engineering, schema validation and fallback design.

Accomplishments that we're proud of

We are proud that CareClarity is much more than a simple AI summarisation tool.

Key achievements include:

A complete healthcare administration workflow powered by Z.ai Structured extraction of appointment and referral information Plain-English explanations of complex healthcare communications AI-generated action checklists Appointment preparation guidance Multilingual support Carer and family summaries Missing-information detection A dedicated AI safety validation layer A mobile-friendly and accessible interface

We are particularly proud of maintaining a strict admin-only boundary while still providing meaningful support to patients. This makes CareClarity both useful and safe.

What we learned

Throughout the hackathon we learned that:

Healthcare communication is often a bigger problem than healthcare information itself. Many patients do not need medical advice; they need help understanding what to do next. Safety is just as important as intelligence when building AI for healthcare. User-centred design significantly improves product decisions. AI can create real value when integrated into complete workflows rather than isolated features.

We also learned how important accessibility, multilingual support and trust are when designing products intended for diverse patient populations.

What's next for CareClarity

Our vision is to develop CareClarity into a scalable patient-support platform that complements existing NHS digital services.

Future plans include:

PDF and image upload support OCR for scanned healthcare letters Expanded multilingual support Trusted family and caregiver sharing tools Integration with NHS digital communication platforms NHS Trust pilot programmes Public API access for healthcare software providers Accessibility enhancements Advanced appointment readiness packs

Long-term, we believe CareClarity can help reduce patient confusion, improve appointment attendance, reduce pressure on NHS administrative teams and make healthcare communication more accessible for everyone. The business model supports growth through patient subscriptions, NHS Trust licensing and a developer API, providing a realistic path beyond the hackathon.


CareClarity Devpost Submission | VibeHack London 2026 Team Eleven | Track 1: Health Impact | Challenge 2: Making NHS Admin Easier for Patients

Project Title CareClarity Team Name Team Eleven Team Members Md Abdullah Al Mamun (UoB) | Imran Al Munyeem (NTU) | Rudrasinh Parmar / Zoro (UoB) Team Members Info (Website) https://almamun.tech/ | https://munyeem.netlify.app/ | https://zoro.website/

Main Track Track 1: Health Impact Challenge Challenge 2: Making NHS Admin Easier for Patients Live Demo (Website) https://careclarity-eleven.vercel.app

Live Demo (Video) Product Video Link

GitHub Repo https://github.com/imranalmunyeem/CareClarity

SHORT PROJECT SUMMARY

CareClarity is a mobile-friendly healthcare administration companion that turns confusing NHS-style appointment letters, referral updates, prescription paperwork and admin instructions into clear, plain-English next steps. It produces a structured patient dashboard complete with an action checklist, appointment readiness pack, missing-detail flags and a downloadable summary for trusted family members or carers — while enforcing a strict boundary: administrative understanding only, never medical advice.

WHAT WE BUILT

CareClarity is a full-stack web application (React + TypeScript + Vite) deployed on Vercel, with server-side API routes that call the Z.AI GLM API. The API key is never exposed to the browser.

Feature Description Letter Understanding Extracts letter type, department, appointment date, time, location, contact info, clinician/team and action required Plain-English Explanation Rewrites formal NHS admin wording into clear everyday language Action Checklist Safe admin-only next steps: confirm appointment, check missing details, etc. Missing Detail Flags Highlights no date, no time, no location, unclear contact, conflicting instructions or deadline-free actions Readiness Pack Before-you-go steps, documents to bring, items to confirm at the clinic What Changed? Compares two letters side-by-side to identify changed appointment or admin details Carer Summary Downloadable TXT/PDF summary with details, checklist, contacts and safety notice Prescription Helper Extracts collection/admin wording and reference numbers without any medicine advice NHS App Guide Admin-only guidance on finding appointments, messages, referrals or prescriptions in the NHS App Explain a Sentence Paste one confusing sentence and receive an admin-only plain-English explanation Multilingual Translation Translates letters into 13 languages including Bengali, Urdu, Arabic, Polish, Punjabi and Ukrainian Language Selector Reloads the full CareClarity interface in the patient's preferred language Product Chatbox Answers how-to-use questions in the patient's language; refuses medical advice requests Accessibility Mode Large text, high contrast, dyslexia-friendly layout and browser read-aloud support Safety Banner Always-visible banner reminding patients that CareClarity explains admin information only Safe Fallback If Z.AI is unavailable or output is invalid, the app returns a safe fallback rather than guessing

WHO IT IS FOR

Patients in the UK who receive healthcare admin correspondence and find it confusing, stressful or hard to act on — particularly: • Older patients unfamiliar with clinic or NHS admin language • Patients whose first language is not English • People with low digital confidence or literacy difficulties • Carers managing paperwork on behalf of a family member • Anyone who has received a letter with missing details, unclear instructions or no obvious next step

WHAT PROBLEM IT SOLVES

Healthcare paperwork often assumes patients understand referral wording, clinic procedures, appointment rules and NHS admin processes. In practice, many struggle to answer basic questions: What is this letter asking me to do? Where do I need to go? Is there a date and time? What should I ask the clinic?

One missed date, unclear location or forgotten instruction can mean a missed appointment, extra anxiety and unnecessary calls to already-stretched NHS admin teams.

Standard tools do not solve this: PDF readers only show the document. Generic translators miss healthcare admin meaning. Search engines can be unsafe or irrelevant. The NHS App shows confirmed appointments but does not explain confusing correspondence.

CareClarity solves a narrower, specific problem: helping patients understand and act on healthcare admin paperwork safely, quickly and in their own language.

HOW AI WAS USED

Z.AI GLM API (Core Engine) All AI calls are made server-side through Vercel API routes. Z.AI powers: • Letter understanding and structured admin detail extraction • Plain-English explanation generation and action checklist production • Appointment preparation guidance and clinician question generation • Missing and unclear detail detection • Safety validation — a dedicated Z.AI call checks every output for unsafe medical content before it reaches the patient • Letter comparison analysis • Multilingual translation into 13 patient languages • Sentence-level explanation • Product-support chatbox responses • Safe fallback decision support when the primary call fails

Safety pipeline: every output passes through (1) admin-only system prompts, (2) Zod schema validation, and (3) a Z.AI safety validation call. If UNSAFE or unavailable, CareClarity displays a safe fallback — never an unvalidated response.

Other AI Tools Used During the Build Manus Patient admin pain-point research, user personas, competitor comparison, demo script preparation, workflow documentation Cursor UI layout improvements, TypeScript error fixes, interface polish during the hackathon build Fotor Product poster, before/after patient confusion graphic, Z.AI workflow infographic, multilingual accessibility graphic, Devpost banner and demo slide imagery

DEMO & REPOSITORY LINKS

Live Product https://careclarity-eleven.vercel.app

Marketing Video Product Video Link

GitHub Repo https://github.com/imranalmunyeem/CareClarity

SPECIAL AWARDS APPLIED FOR

Award What We Used It For Evidence Fotor Vibe Marketing Award Product poster, before/after graphic, Z.AI workflow infographic, Devpost banner and demo imagery created with Fotor Example Screenshots Attached Manus Real-World Use Case Award Research, user personas, competitor comparison, demo script and workflow documentation prepared with Manus Example Screenshots Attached Z.ai x Orbit Builder Workflow Z.AI GLM API powers the full analysis, safety validation, translation and chatbox pipeline; Ortie Package generated Evidence GitHub Code

SAFETY NOTES FOR JUDGES

CareClarity is not a medical chatbot. It does not diagnose conditions, recommend medicines, suggest treatment plans or claim NHS endorsement. Safety is enforced at three levels: (1) admin-only system prompts, (2) Zod schema validation on all AI responses, and (3) a dedicated Z.AI safety validation call before any output is shown to the patient.

For urgent medical help in the UK: NHS 111. For life-threatening emergencies: 999.

Built by Team Eleven at VibeHack London 2026 | UCL, 6–7 June 2026  

Built With

Share this project:

Updates

posted an update

CareClarity — NHS Healthcare Admin Companion Market Research & Competitive Analysis


Document purpose This report maps the competitive landscape for AI-powered healthcare communication tools, quantifies the UK market problem with real evidence, profiles six competitor categories, and builds the case for why CareClarity occupies a unique and defensible position that no existing product addresses.

  1. The Market Problem — Evidence-Based 1.1 NHS Health Literacy Crisis Low health literacy is a documented, large-scale UK problem backed by NHS England's own research. Patients who cannot understand their healthcare communications miss appointments, misinterpret instructions and make uninformed decisions — each of which costs money and worsens outcomes.

43% of UK working-age adults cannot understand written health information (NHS England / Rowlands et al.) 61% struggle when health content includes numbers or statistics (NHS England, 2022) 25% of the public rate NHS communication as poor, citing unclear wait times, unclear letters and no contact guidance (King's Fund / Healthwatch England, 2025)

NHS England, 2025 Health literacy interventions contribute to reducing waiting lists and Did Not Attend (DNA) rates by providing accessible information to enable patients to attend appointments. Reducing waiting times is a key operational priority for trusts. 1.2 The Financial Cost of Missed Appointments Confusion about letters — missing details, unclear instructions, unfamiliar terminology — is a direct driver of missed NHS appointments.

11.8M NHS hospital appointments missed (DNA) in 2024 (Esendex FOI analysis, 2025) £1.9Bn total estimated cost of those missed appointments (£160 per missed hospital appointment) £1.2Bn annual cost of missed appointments estimated by Deep Medical (£165 per hospital DNA) £102M spent by NHS on postal letters in 2024 alone (Taxpayer's Alliance / DHSC, 2025)

Why this matters for CareClarity Even a modest improvement in letter comprehension — patients understanding where to go, when to arrive, what to bring — reduces DNA rates. CareClarity targets exactly the comprehension gap that precedes a missed appointment: the moment between receiving a letter and acting on it. 1.3 Market Scale & NHS Digitisation Momentum CareClarity enters a market being actively shaped by NHS policy: • 270 million messages expected through the NHS App in 2025 — up 70 million year-on-year (DHSC, June 2025) • At least 50 million postal letters expected to be replaced by digital communications (DHSC 10-Year Plan) • NHS spent £102 million on postal letters in 2024 — a 12.5% increase on the previous year • UK digital health market projected to reach USD 37.6 billion by 2033 (AppInventiv, 2026) • Government 10-Year Health Plan explicitly targets a shift 'from analogue to digital' with the NHS App as the digital front door

Strategic insight The NHS is digitising delivery but has not digitised comprehension. Letters are moving from paper to app — but the language inside them is not changing. CareClarity fills that gap: it sits on top of any delivery channel (portal, app, paper) and makes the content understandable.

  1. Competitor Landscape CareClarity faces competition from six distinct categories. None of them fully address the specific problem of NHS administrative letter comprehension. The following profiles are based on live product research conducted June 2026.

2.1 NHS App — Official Digital Front Door NHS App (NHS England) Type Official patient-facing app — government funded

Geography England only — requires NHS login (NHS number + GP registration)

What it does Delivers digital appointment letters, referral status, test results and prescriptions through trust Patient Engagement Portals (DrDoctor / Patients Know Best). 11+ million monthly active users (NHS England, 2025). Sends 270 million messages annually.

Key gaps vs CareClarity Delivers letters digitally but does NOT explain them. No plain-English translation, no action checklist, no missing-detail flags, no carer summary. Requires NHS login — excludes patients without NHS numbers, non-UK-registered patients or those helping family members. Available only in trusts that have implemented digital letters (still rolling out). No multilingual content generation. No appointment preparation guidance. No safety validation layer.

2.2 DrDoctor — NHS Patient Engagement Portal DrDoctor Type Commercial B2B software — sold to NHS trusts, not patients directly

Geography England (majority of NHS trusts, still rolling out nationally)

What it does Powers digital appointment letters for NHS trusts. Patients receive a text with a secure link, then view and download their letter. Supports appointment rescheduling and cancellation. Integrated with NHS App for notifications.

Key gaps vs CareClarity Letter delivery tool only — no comprehension support. Displays the original clinical letter exactly as written. No plain-English explanation, no action checklist, no missing-detail detection, no translation, no carer summary. Cannot be used without a trust subscription. Requires surname, date of birth and postcode to log in — excludes patients helping family members or those receiving letters from multiple trusts.

2.3 Patiently AI — Closest Direct Competitor Patiently AI (Pharmatools.AI) Type Award-winning healthtech product — direct-to-patient and B2B API

Geography Global — 90+ countries, UK-regulated (MHRA Class I, GDPR, Cyber Essentials)

What it does Award-winning AI tool (Communiqué Awards, HTN AI & Data Awards, PMEA Awards) that simplifies discharge letters, lab results, scan reports and prescriptions into plain language. No login required, runs in browser, on-device PII redaction. Supports English interface with 17-language output translation. B2B API for hospital EHR integration.

Key gaps vs CareClarity Explains medical content — does NOT focus on admin letter comprehension. No appointment action checklist, no missing-detail flags (no date/time/location detection), no appointment readiness pack, no letter-to-letter comparison, no carer summary export, no NHS App navigation guidance. Language interface is English-only (output translation only). No product-support chatbox. Focused on clinical notes and lab results rather than the specific NHS admin paperwork workflow.

Important note on Patiently AI Patiently AI is the most technically mature direct competitor and validates that patients need AI-powered letter simplification. However it solves a different, broader problem (medical jargon in clinical notes) rather than CareClarity's specific problem (NHS admin paperwork comprehension and action). Judges should note that an award-winning product in this space validates the market opportunity — and that CareClarity is more focused on the specific pain point the NHS handbook identifies as the challenge: patients understanding what to do with admin communications.

2.4 Vital & Medsplain — US-Centric Medical Jargon Translators Vital (US) / Medsplain Type AI medical note translator — primarily US-focused

Geography United States (Vital), Global (Medsplain) — neither NHS-aware

What it does Vital (backed by Mint.com founder Aaron Patzer) translates doctor's notes, radiologist reads and discharge summaries to 5th-grade reading level. Medsplain translates medical reports and lab results side-by-side with the original. Both are free to use, no login required.

Key gaps vs CareClarity US-designed, US healthcare language model — NHS-specific terminology, referral pathways and admin processes are not natively understood. No appointment admin workflow (action checklist, readiness pack, letter comparison, carer summary). No multilingual NHS admin support. No safety validation layer designed for UK regulatory context. Not designed for the NHS patient journey.

2.5 Aide Health Mirror — UK AI Medical Memory Aide Health Mirror (UK, launched October 2025) Type AI-powered consultation recorder — UK patient-facing app

Geography United Kingdom

What it does Launched October 2025. Discreetly listens during GP and hospital consultations and produces a plain-English summary of what the doctor said. Designed for patients who forget what was discussed in the appointment room.

Key gaps vs CareClarity Records spoken consultations — does NOT process written letters or admin paperwork. Solves post-consultation memory problem, not pre-appointment letter comprehension. No letter upload, no missing-detail detection, no appointment preparation guidance, no multilingual letter translation, no carer summary. Different use case and user journey from CareClarity.

2.6 Browser Translators & General AI Chatbots Google Translate / DeepL / ChatGPT / Claude Type General-purpose translation and AI tools

Geography Global

What it does Patients increasingly use browser translation tools or general AI chatbots to understand confusing letters. These tools are free, widely available and can produce reasonable plain-English explanations.

Key gaps vs CareClarity No NHS-specific training or understanding of referral pathways. No safety validation — can and do provide medical advice or diagnosis when patients paste clinical content. No structured output (action checklist, readiness pack, carer summary). No missing-detail detection. No appointment-specific preparation guidance. No persistent safety boundary. No prescription admin handling. Responses vary widely in quality and safety. Cannot be cited or trusted for healthcare admin guidance without human verification.

  1. Feature-by-Feature Comparison The table below maps each key patient need against the six competitor categories. CareClarity is the only tool that addresses all dimensions of the NHS admin letter comprehension problem.

Patient Need NHS App DrDoctor Patiently AI Vital / Medsplain ChatGPT / Browser CareClarity Plain-English explanation of admin letter ❌ None ❌ None ✅ Medical notes ✅ Medical notes ⚠️ Varies, unsafe ✅ Admin-only, validated Structured extraction (date, time, location, contact) ⚠️ If shown in app ❌ None ❌ None ❌ None ❌ None ✅ Always extracted Flag missing or unclear details ❌ No ❌ No ❌ No ❌ No ❌ No ✅ Core feature Action checklist for patient ❌ No ❌ No ❌ No ❌ No ❌ No ✅ Generated always Appointment Readiness Pack ❌ No ❌ No ❌ No ❌ No ❌ No ✅ Fully generated Letter-to-letter comparison (What Changed?) ❌ No ❌ No ❌ No ❌ No ❌ No ✅ Unique feature Trusted family/carer summary (TXT/PDF) ❌ No ❌ No ❌ No ❌ No ❌ No ✅ Unique feature Prescription admin (not medicine advice) ❌ No ❌ No ❌ No ❌ No ❌ Risky ✅ Admin-only Multilingual translation (13+ languages) ⚠️ Basic read-aloud ❌ No ⚠️ 17 languages (output only) ❌ English only ⚠️ Translation only ✅ 13 NHS-aware languages Safety validation layer (no medical advice) N/A N/A ⚠️ Partial boundary ⚠️ Partial boundary ❌ No boundary ✅ Explicit validation Safe fallback when AI unavailable N/A N/A ❌ No ❌ No N/A ✅ Always safe NHS App navigation guidance ✅ Native ❌ No ❌ No ❌ No ❌ No ✅ Admin guidance No login required ❌ NHS login required ❌ DOB/postcode required ✅ Yes ✅ Yes ✅ Yes ✅ Yes No data stored by product NHS-managed Trust-managed ✅ In-memory only ⚠️ HIPAA-compliant ⚠️ Policy varies ✅ No CareClarity DB Works with uploaded PDF or image N/A ✅ PDF letter display ✅ Yes ✅ Yes ✅ Yes ✅ Yes Explain one sentence feature ❌ No ❌ No ❌ No ❌ No ⚠️ General only ✅ Admin-only Accessibility Mode (high contrast, dyslexia) ⚠️ System-level only ❌ No ❌ No ❌ No ❌ No ✅ Built in UK / NHS context-aware design ✅ Native ✅ Native ⚠️ Partial ❌ US-focused ❌ No ✅ NHS-first design Key: ✅ Supported ⚠️ Partial / limited ❌ Not supported

  1. CareClarity's Unique Market Position 4.1 The Gap Nobody Fills Every competitor in the market either: • Delivers letters without explaining them (NHS App, DrDoctor) • Explains clinical notes and lab results, not admin paperwork (Patiently AI, Vital, Medsplain) • Listens during consultations but does not process written letters (Aide Health Mirror) • Provides general translation without NHS context, safety validation or structured output (Browser tools, ChatGPT)

The specific gap CareClarity fills No existing product takes an NHS administrative letter — an appointment notice, referral update, waiting-list communication or prescription admin note — and turns it into a structured plain-English patient dashboard with: a verified action checklist, missing-detail flags, appointment readiness pack, safe clinician questions, letter comparison, carer summary, and multilingual translation — all within a strict admin-only safety boundary. CareClarity is the first product to do this. 4.2 Five Competitive Advantages

1 Admin-Only Safety Boundary — the trust differentiator Every competitor that attempts to explain health content either has no safety boundary (ChatGPT, browser tools) or a partial one (Patiently AI, Vital). CareClarity has an explicit, technically enforced admin-only safety layer: every response passes through a Z.AI safety validation step before reaching the patient. If the output is flagged as medical advice, it is blocked and replaced with a safe fallback. This is not just a prompt instruction — it is an architectural decision. For the Health Impact track, this is the most important differentiator. No other hackathon product is likely to have this.

2 Admin Workflow Intelligence — not just translation Patiently AI and Vital translate medical jargon. CareClarity does something different: it understands NHS administrative workflows. It knows what an 18-week referral pathway means for a patient. It knows that 'Please bring a list of current medications' means something different from 'Please fast for 12 hours before your appointment.' It flags when an appointment letter has no location — a common NHS admin error that causes patients to miss appointments entirely. This workflow intelligence is not language translation; it is patient navigation.

3 Carer and Family Support — an ignored patient group No competitor supports the carer use case. In the UK, approximately 5.7 million people (Carers UK, 2024) provide unpaid care and regularly help family members manage their healthcare administration. When an older parent receives a confusing referral letter, their adult child cannot easily help — they do not have NHS App access for that patient, and no tool gives them a clean, shareable summary. CareClarity's Trusted Family/Carer Summary is unique in the market: a downloadable TXT/PDF that contains the appointment details, action checklist, contact information, questions to ask and a safety notice — specifically designed to be shared.

4 No Login, No Database — lowest friction, highest trust The NHS App requires NHS login. DrDoctor requires date of birth, surname and postcode. Patiently AI requires account creation for unlimited access. CareClarity requires nothing. The patient pastes a letter, gets their answer, and leaves. No account. No stored data. No risk of a data breach containing their letter. For a patient who is already anxious about a confusing NHS letter, the barrier to entry being zero is itself a patient-centred design decision. The 2026 Health Tech Tracker found only 49% of patients would use the NHS App's AI features — partly due to safety concerns. CareClarity's no-storage, no-login design directly addresses that hesitation.

5 Multilingual NHS-Context Translation — not just word-for-word Browser translators and general-purpose AI translate words but not context. When a Bengali-speaking patient receives a letter saying 'you have been placed on the 18-week referral-to-treatment pathway', a word-for-word translation produces a confusing result in Bengali. CareClarity translates the plain-English explanation — after the admin workflow intelligence has already clarified what the letter means. The output in Bengali, Urdu, Arabic or any of the 13 supported languages preserves the meaning, not just the words. Critically, dates, times, clinic names and phone numbers are preserved exactly as they appear in the original letter. No competitor does this specifically for NHS admin paperwork.

  1. Alignment with NHS Strategy and Policy CareClarity is not ahead of NHS thinking — it is directly aligned with it. Every major NHS policy priority for 2025–2027 creates tailwind for CareClarity:

NHS Priority Relevant Policy / Source How CareClarity Aligns Shift from analogue to digital 10-Year Health Plan, DHSC 2025 CareClarity works with digital letters from the NHS App and DrDoctor portals, extending their value Improve health literacy NHS Providers briefing, October 2025 CareClarity directly improves patient understanding of written communications — NHS England's stated priority Reduce DNA (Did Not Attend) rates NHS England elective care reform 2025/26 Patients who understand their letter are more likely to attend — CareClarity addresses the comprehension gap before a DNA occurs Reduce health inequalities NHS England, NHSE and Health Literacy Matters 2024 Multilingual support, Accessibility Mode and the carer summary directly serve under-heard patient groups Safer Maternity Care Vibehack Challenge 4 / NHS maternity safety agenda CareClarity's plain-language and multilingual features support the specific populations at higher risk in maternity — covered by Challenge 4 features Reduce NHS admin burden NHS England 10-Year Plan Patients who act correctly on their letters reduce 'what does this mean?' calls to already-stretched NHS admin teams AI for administrative purposes Statista 2025: NHS staff and public more supportive of admin AI than clinical AI CareClarity is explicitly an administrative tool — well within the comfort zone of both patients and NHS staff

  1. Market Opportunity Summary 6.1 Addressable Market The immediate addressable market is every patient in England who receives an NHS administrative communication and needs help understanding or acting on it. Based on NHS data: • 270 million NHS App messages projected in 2025 — each one is a potential CareClarity interaction • 7.4 million hospital DNA appointments in 2024 — each potentially reducible through better comprehension support • 43% of UK adults with low health literacy = approximately 22 million working-age people who struggle with written health information • 5.7 million unpaid carers in the UK who manage healthcare for family members and need shareable summaries • ~3 million non-English-speaking patients in England who would benefit from multilingual NHS admin support 6.2 Post-Hackathon Commercial Pathway CareClarity has a clear path from hackathon prototype to deployed product:
  2. Direct-to-patient deployment on Vercel/Netlify — full Z.AI API stack live. Immediately usable by any UK patient with internet access. Zero NHS procurement required.
  3. NHS Trust pilot partnership — CareClarity can be offered as a complementary layer alongside existing DrDoctor or Patients Know Best digital letter deployments, requiring no system integration.
  4. Patient charity and NHS volunteer organisation distribution — Age UK, Mind, Healthwatch England and similar organisations regularly need tools to help patients navigate NHS communications.
  5. B2B API (following Patiently AI model) — offer a plain-English admin layer to NHS trust patient portals, community pharmacy chains or GP software providers.
  6. NHS App integration — as the NHS App matures, a regulated AI companion for letter comprehension fits directly into the government's 'digital front door' vision. 6.3 Why Now The market window is open Patiently AI proves patients will use AI to understand health letters. The NHS is digitising letter delivery at scale but has not addressed comprehension. The government's 10-Year Health Plan has created political and funding momentum for digital patient tools. Health literacy has been named an explicit NHS operational priority for 2025/26. CareClarity enters this window with a focused, safe, NHS-aware product that solves the specific problem the market has not yet addressed.

  7. Sources All market data cited in this report comes from publicly available sources accessed June 2026:

  8. NHS England / Rowlands et al. (2015) — 43% of working-age adults cannot understand textual health information

  9. NHS England (2022) — 61% struggle when content includes numbers

  10. King's Fund, Healthwatch England and National Voices (2025) — 25% of public rate NHS communication as poor

  11. NHS Providers Health Literacy Briefing (October 2025) — health literacy interventions reduce DNA rates

  12. Esendex FOI analysis (2025) — 11.8 million DNAs in 2024, £1.9Bn total cost (£160 per appointment)

  13. Deep Medical (2024) — £1.2Bn annual cost of missed appointments (£165 per hospital DNA)

  14. Taxpayer's Alliance / DHSC (2025) — NHS spent £102 million on postal letters in 2024

  15. DHSC press release (7 June 2025) — 270 million NHS App messages projected for 2025, 50 million letters to be replaced

  16. AppInventiv (2026) — UK digital health market projected at USD 37.6 billion by 2033

  17. Health Foundation Health Tech Tracker (March 2026) — only 49% of public would use NHS App AI features

  18. Patiently AI — getpatiently.ai (accessed June 2026)

  19. Newsfile Corp (October 2025) — Aide Health Mirror UK launch

  20. DrDoctor trust portal documentation (multiple NHS trusts, 2025-2026)

  21. NHS England Digital — Hospital and specialist appointments in the NHS App (accessed June 2026) CareClarity — Team Eleven — Vibehack London 2026 · Produced June 2026

Log in or sign up for Devpost to join the conversation.

posted an update

CareClarity Business Case & Commercialisation Strategy

How CareClarity generates revenue, scales to patients and becomes a sustainable healthcare product


One-line business case CareClarity solves a £1.9 billion problem — NHS missed appointments driven by patients not understanding their letters — with a zero-friction AI tool that can be monetised through three parallel revenue streams: a patient freemium subscription, NHS Trust B2B licensing, and a developer API. Each stream is independent, each validates the others, and together they build a defensible healthcare product business.

  1. The Business Problem Worth Solving Before any revenue model works, the problem must be large enough and painful enough to justify a product business. CareClarity passes both tests.

£1.9Bn annual cost of missed NHS hospital appointments (2024) 43% of UK adults cannot understand written health information 11.8M hospital appointments missed in the UK in 2024 £102M spent by NHS on postal letters in 2024 alone

The core business insight is this: patients who cannot understand their NHS letter are patients who miss appointments, make unnecessary calls to admin teams, and disengage from their own care. CareClarity turns letter confusion into letter confidence — and that conversion has measurable value for patients, NHS Trusts, and the wider health system.

Why this is a product business, not just a hackathon project The NHS is actively spending money trying to solve this problem — £102 million on postal letters, growing NHS App infrastructure, and an explicit operational target to reduce DNA (Did Not Attend) rates in 2025/26. That spending represents a market willing to pay for a better solution. CareClarity does not need to create demand. It needs to capture demand that already exists.

  1. Business Model Overview CareClarity operates a three-layer business model. Each layer addresses a different customer segment, operates independently, and reinforces the others. The model is designed to generate revenue from day one at the individual level while building toward higher-value institutional contracts.

Layer Customer Revenue Type Timeline Layer 1 Individual patients (B2C) Freemium subscription Month 1+ Layer 2 NHS Trusts and healthcare organisations (B2B) SaaS licence per trust Month 6+ Layer 3 Developers and health platforms (B2D) API usage billing Month 9+

Design principle The free tier is not a loss leader — it is the distribution strategy. Every patient who uses CareClarity for free and finds value becomes a case study, a referral source, and a data point that proves adoption before a Trust procurement conversation. The freemium model funds itself through the premium tier while building the B2B sales funnel organically.

  1. Revenue Streams in Detail 3.1 Patient Freemium — Direct-to-Consumer

Stream 1 Patient Subscription — Direct-to-Consumer (B2C) Revenue Model Freemium with premium tier. Free tier provides core letter understanding (plain-English summary, action checklist, missing-detail flags). Premium unlocks advanced features.

Price Point Free tier: £0. Premium: £3.99/month or £29.99/year (less than one NHS prescription charge).

Target Volume Target: 10,000 free users in Year 1. Conversion rate target: 8% to premium = 800 paying users.

Estimated Monthly Revenue 800 users x £3.99 = ~£3,190/month (~£38,300/year at Year 1 scale).

Why It Works NHS patients are already motivated — they have a confusing letter in their hand. Zero friction (no login required for free tier) maximises top-of-funnel. Price is below psychological resistance threshold (less than a coffee per month). Annual plan reduces churn.

Free vs Premium Feature Split

Feature Free Tier Premium Tier Plain-English letter summary Yes — full Yes — full Action checklist Yes — full Yes — full Missing/unclear detail flags Yes — full Yes — full Appointment Readiness Pack Yes — basic version Yes — full version Trusted family/carer summary TXT download only TXT + PDF, branded Letter comparison (What Changed?) One comparison per month Unlimited comparisons Multilingual translation 3 languages All 13 languages Prescription Admin Helper No Yes NHS App Navigation Helper No Yes Explain this sentence 3 uses per month Unlimited Product-support chatbox English only All supported languages Accessibility Mode Yes — full Yes — full History / saved letters No (by design — privacy) Optional encrypted vault Priority AI processing Standard speed Priority queue

3.2 NHS Trust B2B — Institutional Licensing

Stream 2 NHS Trust Licence — Business-to-Business (B2B) Revenue Model Annual SaaS licence sold to NHS Trusts, ICBs (Integrated Care Boards) and NHS-funded community organisations. CareClarity is deployed as a white-label companion to existing trust patient portals (DrDoctor, Patients Know Best) or embedded in the NHS App experience.

Price Point Small Trust (under 200k patients): £12,000/year. Medium Trust (200k–500k patients): £28,000/year. Large Trust (500k+ patients): £55,000/year. ICB or multi-trust deployment: £90,000–£150,000/year.

Target Volume Year 1: 2 pilot Trusts (at heavily discounted pilot rate of £5,000 each). Year 2: 8 Trusts. Year 3: 25 Trusts.

Estimated Monthly Revenue Year 1 (pilot): £10,000. Year 2: ~£224,000. Year 3: ~£700,000+ (mix of Trust sizes).

Why It Works NHS Trusts have a direct financial incentive: each 1% reduction in DNA rates across a medium Trust saves approximately £960,000 annually (based on £160 per missed appointment x 6,000 avoidable DNAs). CareClarity's annual licence costs less than the value of preventing 200 missed appointments. The ROI case for procurement writes itself.

B2B Sales Strategy — How to Win Trust Contracts NHS procurement is slow. The strategy is to shortcut it:

  1. Start with NHS charity and voluntary sector partnerships — Age UK, Healthwatch England, Carers UK, and local patient groups can distribute CareClarity to their members immediately without procurement. This builds evidence.
  2. Use direct-to-patient adoption data as a proof of value conversation opener with Trust digital leads and Chief Digital Information Officers (CDIOs). 'Our tool has been used 10,000 times by patients at your Trust' is a compelling cold outreach message.
  3. Apply to NHS Innovation Accelerator (NIA) and AHSN (Academic Health Science Network) programmes — these provide both credibility and direct access to NHS decision-makers.
  4. Position alongside existing DrDoctor deployments as a complementary layer, not a competing product — this removes the procurement objection that CareClarity requires system integration.
  5. Use the NHS AI Procurement Framework (£900M framework launched May 2026) as the commercial vehicle once registered as a supplier.

3.3 Developer API — Business-to-Developer (B2D)

Stream 3 CareClarity API — Business-to-Developer (B2D) Revenue Model Usage-based API billing. Developers and health platforms pay per API call to access CareClarity's NHS admin letter analysis, plain-English translation, action checklist generation and safety validation layer — without building these capabilities themselves.

Price Point Free tier: 500 API calls/month (for developers and small startups). Starter: £29/month for 5,000 calls. Growth: £99/month for 25,000 calls. Enterprise: custom pricing for NHS tech vendors and digital health platforms.

Target Volume Year 1: 20 developer accounts (free + paid). Year 2: 150 accounts. Year 3: 500+ accounts including first enterprise contract.

Estimated Monthly Revenue Year 1: ~£1,500/month from paid developer accounts. Year 2: ~£12,000/month. Year 3: ~£40,000+/month with first enterprise client.

Why It Works Following the Patiently AI model (which offers a B2B API for EHR integration), there is a proven market for pluggable plain-language health communication APIs. GP software vendors, pharmacy management systems, community health apps and digital care coordination platforms all need this capability but cannot build it themselves. CareClarity's API offers pre-built NHS context-awareness, safety validation and multilingual support — a full solution, not just an LLM wrapper.

  1. Revenue Projections — Three-Year Model These projections are conservative and based on comparable healthtech products at similar stages. They assume no external funding in Year 1 and modest growth thereafter.

Revenue Stream Year 1 Year 2 Year 3 Patient Subscriptions (B2C) £38,000 £120,000 £360,000 NHS Trust Licences (B2B) £10,000 £224,000 £700,000 Developer API (B2D) £18,000 £144,000 £480,000 TOTAL £66,000 £488,000 £1,540,000

Conservative assumptions Year 1 patient conversion rate: 8% of free users to premium (industry average for healthcare freemium is 5-12%). Year 1 Trust contracts: 2 pilots only. Year 1 API: 20 developer accounts with 40% on paid plans. No grant funding assumed. No NHS Innovation Accelerator placement assumed. If any of these additional revenue sources materialise, Year 1 revenue could be 2-3x higher.

  1. Go-To-Market Strategy 5.1 Patient Acquisition — How to Reach Individual Users The challenge with direct-to-patient health tools is that users only need them in a specific moment: when they receive a confusing letter. CareClarity's distribution strategy is designed around that moment.

Channel 1 — Search (Organic) When a patient receives a confusing NHS letter, their first action is to search Google. Search terms like 'what does NHS referral letter mean', 'how to understand NHS appointment letter' and 'NHS waiting list letter explained' collectively receive thousands of searches per month in the UK. A focused SEO strategy targeting these intent keywords places CareClarity exactly where the need arises. Channel 2 — Patient Charity Partnerships Age UK serves 8+ million older people. Carers UK has 5.7 million unpaid carers. Mencap supports people with learning disabilities who find NHS letters especially hard to understand. Mind supports mental health patients. Each charity has newsletters, websites and support networks that reach exactly the patients CareClarity helps. Partnership distribution — putting a CareClarity link in a charity's 'understanding your NHS letter' guidance — costs nothing and reaches a highly motivated audience. Channel 3 — GP Surgery and Pharmacy Referral GP surgeries and community pharmacies regularly encounter patients confused by referral letters, appointment notices and prescription admin communications. A simple leaflet or QR code in waiting rooms and at pharmacy counters — 'Confused by your NHS letter? Try CareClarity' — is a zero-cost distribution channel that reaches patients at exactly the right moment of need. Channel 4 — NHS Staff Word of Mouth NHS admin staff, ward clerks and appointment booking teams currently spend significant time on the phone explaining letters to confused patients. If CareClarity can reduce even a portion of those calls, frontline NHS staff have a personal incentive to recommend it. 'Just paste your letter into CareClarity before calling us' becomes a self-service deflection tool that benefits everyone. Channel 5 — Multilingual Community Outreach CareClarity's 13-language support creates a natural entry point into the UK's South Asian, Arabic-speaking, Polish and Eastern European communities — all of which are significantly underserved by existing NHS digital tools. Community language media, mosque and temple noticeboards, and diaspora community organisations offer low-cost, high-trust distribution channels.

5.2 B2B Acquisition — How to Win NHS Trust Contracts NHS procurement requires a different strategy from consumer marketing. The path is: evidence first, conversation second, contract third.

Phase 1 Months 1–6 Build Evidence Without Procurement • Deploy full product on Vercel/Netlify — live and usable by any UK patient • Partner with 2–3 patient charities to distribute CareClarity to their members • Collect anonymised usage data: number of letters processed, most common missing details, most common letter types • Collect qualitative feedback from real patients (survey after each session) • Build the case study library: 'CareClarity processed 50,000 appointment letters in 6 months'

Phase 2 Months 6–12 Enter the NHS Ecosystem • Apply to NHS Innovation Accelerator (NIA) — provides credibility, network access and sometimes funding • Apply to AHSN Innovation Exchange — connects to NHS Trusts actively looking for digital health solutions • Approach 5 NHS Trust CDIOs (Chief Digital Information Officers) with usage data and ROI case • Register on NHS Supply Chain and the NHS AI Procurement Framework (£900M framework, live May 2026) • Approach DrDoctor and Patients Know Best as integration partners — offer CareClarity as a value-add layer • Apply for NHS Digital Health Accelerator funding (available to tools that improve patient communication)

Phase 3 Months 12–36 Scale and Institutionalise • Convert 2 pilot Trusts to full annual contracts • Approach ICBs (Integrated Care Boards) for multi-Trust deployments — one contract covers multiple Trusts • Pursue MHRA Class I registration (following Patiently AI model) to strengthen procurement credibility • Explore NHS App integration through NHS England Digital partnership programme • Launch API programme to enable digital health platforms to embed CareClarity capability • Explore international expansion to NHS-adjacent healthcare systems (Republic of Ireland, Canada, Australia)

  1. Unit Economics — Does the Business Make Sense? 6.1 Cost to Serve The primary variable cost is AI API usage (Z.AI GLM calls). All other costs are fixed infrastructure.

Cost Item Estimate Notes Z.AI API cost per letter analysis ~£0.01–0.03 Depends on letter length. Average NHS appointment letter ~500 tokens Z.AI API cost per translation ~£0.01–0.02 Per language per letter Z.AI safety validation call ~£0.005 Short classification call Total AI cost per free user session ~£0.03–0.06 Typically one letter, one language, one safety check Total AI cost per premium user/month ~£0.20–0.50 Higher usage: comparisons, multiple languages, prescription helper Infrastructure (Vercel/Netlify) ~£50–200/month Fixed cost until scale Domain, SSL, monitoring ~£30/month Fixed

6.2 Contribution Margin At £3.99/month premium subscription with £0.35 average AI cost per premium user:

Revenue per premium user: £3.99/month AI cost per premium user: ~£0.35/month Gross margin per user: £3.64/month (91% gross margin) At 800 premium users: £3,192 revenue, £280 AI costs, £2,912 gross profit per month. At 5,000 premium users: £19,950 revenue, £1,750 AI costs, £18,200 gross profit per month.

Why the unit economics are exceptional 91% gross margin is typical for pure SaaS businesses. CareClarity achieves this because the product is a software wrapper around AI APIs with no physical costs, no clinical staff, no regulatory manufacturing requirements, and no per-user support overhead (the product-support chatbox is also AI-powered). The main cost risk is AI API price changes — mitigated by multi-provider architecture and the ability to switch models without user-facing changes.

  1. Funding Strategy 7.1 Phase 1 — Bootstrapped Launch (£0 external funding needed) CareClarity can launch and reach its first 10,000 users without external funding. The product is already built. Deployment on Vercel costs under £100/month. Patient acquisition through SEO and charity partnerships costs time, not money. This is a genuine zero-budget launch. 7.2 Phase 2 — Grant Funding (£50,000–£150,000 target) Multiple non-dilutive grant sources are directly applicable: • NHS England Innovation Funding — specifically targeted at digital tools that improve patient communication and reduce health inequalities • Innovate UK Smart Grants — available to health tech startups with a working prototype and evidence of need • NIHR (National Institute for Health and Care Research) — funds health technology evaluation and patient-facing digital tools • Healthtech Innovation Challenge grants — multiple charitable and government funds supporting UK health tech • UKRI Digital Health funding — targets exactly the intersection of AI and patient-facing health administration Grant funding at this stage is non-dilutive, builds credibility with NHS procurement, and often comes with AHSN or NHS partner support that accelerates the B2B sales cycle. 7.3 Phase 3 — Seed Investment (£300,000–£800,000) At the point of first Trust contract and 2,000+ premium subscribers, CareClarity is fundable by health-focused seed investors. The investment case is straightforward: • Proven patient adoption at scale • First recurring B2B revenue from NHS customer • 91% gross margin SaaS model • £1.9Bn addressable problem with NHS policy tailwind • No clinical liability (admin-only boundary) — significantly lower regulatory risk than diagnostic AI • Comparable company Patiently AI operates in 90+ countries — validates global expansion potential

  2. Risks and Mitigations

Risk Likelihood Impact Mitigation NHS procurement is slow — B2B revenue delayed beyond Year 1 High Medium B2C subscription and API revenue are independent. Delay in B2B does not kill the business — it just extends the runway required before B2B contribution. Z.AI API pricing increases significantly Medium Medium Multi-model architecture means switching to an alternative provider (OpenAI, Anthropic, Google) is an engineering task, not a product redesign. Pricing risk is passed to users only if costs increase beyond 3x. NHS App builds native letter comprehension Low High Even if the NHS App adds basic plain-English translation, CareClarity's carer summary, missing-detail flags, letter comparison, prescription admin helper and multilingual workflow are features the NHS App cannot build quickly. The B2B API model also allows CareClarity to power the NHS App rather than compete with it. Patient reluctance to paste healthcare letters into a third-party tool Medium Medium No-login, no-storage architecture directly addresses this. All marketing explicitly states 'your letter is never saved.' Accessibility and trust messaging is built into every screen. NHS staff word-of-mouth referrals build trust faster than ads. Regulatory classification as a medical device Low High CareClarity's admin-only boundary is specifically designed to stay below MHRA Class I/IIa thresholds. By explicitly not interpreting clinical results or making care recommendations, it follows the Patiently AI model which has achieved MHRA Class I registration. Legal review at pre-Series A stage. Strong competitor enters (NHS-funded or Big Tech) Low High NHS-funded tools move slowly and rarely build consumer-grade UX. Big Tech tools (Microsoft, Google) focus on clinical AI, not patient admin. CareClarity's 18-month head start, NHS context training, and carer-focused features create a moat that takes longer to replicate than it appears.

  1. Why CareClarity Becomes a Successful Product A product becomes successful when it has three things working at the same time: a real problem, the right timing, and a business model that matches the distribution. CareClarity has all three.

The Problem Is Real and Urgent 43% of UK adults struggle to understand their NHS letters. 11.8 million appointments were missed in 2024. The NHS has explicitly named health literacy improvement as an operational priority for 2025/26. This is not a niche problem — it is one of the most common, most costly and most underserved problems in UK healthcare.

The Timing Is Right The NHS is digitising letter delivery through the NHS App (270 million messages projected in 2025). Letters are moving from paper to digital — but the language inside them has not changed. CareClarity enters exactly when the delivery channel is being modernised but the comprehension problem is getting worse, not better. Every NHS Trust implementing DrDoctor or Patients Know Best is a potential CareClarity partner.

The Business Model Matches the Distribution Zero friction (no login for free tier) maximises top-of-funnel. Freemium converts users who see consistent value. B2B licensing converts the NHS institutions that benefit financially from reduced DNAs. The API monetises the developer ecosystem that needs NHS context-aware AI. Each layer funds the next. Each layer validates the others. The business does not depend on any single revenue stream succeeding.

The Safety Boundary Is the Moat Healthcare AI products fail in three ways: they give dangerous advice, they create liability for the organisations using them, or they lose patient trust. CareClarity is architecturally designed to avoid all three. The admin-only boundary, enforced at the AI layer through Z.AI safety validation, means CareClarity can be recommended by NHS staff, adopted by NHS Trusts, and used by patients without any of the clinical governance overhead that kills healthcare AI procurement. That boundary is not a limitation — it is the product's most commercially valuable feature.

  1. Summary — The Investment Case in Four Numbers

£1.9Bn problem size (NHS DNA cost, 2024) 91% gross margin at premium scale £1.54M projected Year 3 total revenue £0 external funding needed to launch

The one-sentence investment case CareClarity is a 91%-margin SaaS product that turns a £1.9 billion NHS problem into a three-stream revenue business — direct-to-patient subscription, NHS Trust licensing, and developer API — that can launch today for zero capital and scale to seven-figure revenue within three years.

CareClarity — Team Eleven — Vibehack London 2026 · Produced June 2026

Log in or sign up for Devpost to join the conversation.