Records in too many places
Patient details live in a practice system, spreadsheets, email and paper, so staff re-key the same information several times a day.
Healthcare & health-tech
AI & Software Development for UK Healthcare
We help clinics, care providers and digital health companies build patient-facing apps, take the admin out of clinical workflows and connect the systems their teams already rely on — without losing sight of how sensitive the data is.
- Telemedicine and health app experience
- Designed around UK GDPR and confidentiality
- Clinicians stay in control of AI output
Industry challenges
Where healthcare teams lose time today.
Most of the pressure is not clinical. It is the admin, the re-keying and the systems that do not talk to each other.
Where software helps most
- Online booking, reminders and two-way patient messaging
- Referral and correspondence handling with staff approval
- Dashboards that replace manual weekly reporting
- Secure portals shared by patients, carers and care teams
Admin eating clinical time
Referrals, letters, appointment changes and chasing results take hours that clinicians and practice managers would rather give to patients.
Patient expectations have moved
Patients expect to book, rearrange and get updates on their phone. Phone queues and paper forms push them elsewhere — or to the front desk.
Legacy systems that resist change
Older clinical and booking systems with limited APIs turn every new service into a workaround or a manual export.
Special category data
Health data carries extra obligations under UK GDPR, so every new tool raises questions about access, hosting, audit and consent.
Pilots that never scale
Digital projects stall between a promising pilot and daily use because nobody planned for integration, training and support.
Solutions
What we build for healthcare.
From a single patient app to the admin workflows behind a service — designed with the people who will use them, and integrated with what you already run.
Patient-facing apps
Booking, reminders, questionnaires, secure messaging and results in a web or mobile app that patients will actually use.
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Clinical admin automation
Referral intake, letter generation, appointment changes and results chasing handled by workflows, with staff approval at each key step.
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Document intelligence
Read referral letters, discharge summaries and forms, extract the fields that matter and route each one to the right queue.
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Healthcare software and portals
Custom systems for clinics, care providers and health-tech products: scheduling, case management, portals and back-office tools.
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Operational dashboards
Live views of demand, capacity, waiting lists and follow-ups, built on the data you already hold rather than weekly spreadsheets.
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System integrations
Connect booking, practice management, messaging and payment systems through their APIs — including HL7 FHIR where a system supports it.
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AI use cases
Realistic AI in healthcare.
AI that supports staff with reading, summarising and routing — with a clinician confirming anything that affects care.
Referral triage support
Summarise incoming referrals and suggest a priority for a clinician to confirm. The decision stays with the clinician, every time.
Care-note summaries
Turn long care notes into shift-handover summaries that flag changes staff should read in full.
Enquiry assistant
Answer routine questions about opening times, preparation and rebooking — and hand anything clinical straight to a person.
Correspondence drafting
Draft patient letters and GP correspondence from structured notes, ready for review and sign-off.
AI features in your app
Search, summaries and personalised content inside your own patient or clinician product.
Demand and no-show forecasting
Predict appointment demand and no-show risk from historical data to plan staffing and targeted reminders.
Technology & integration
Technology that fits clinical environments.
We integrate with the systems you already use through their published APIs. Where a supplier offers no API, we tell you before we design around it.
Health data and interoperability
HL7 FHIR APIsSupplier APIsSecure file transferWebhooks and event queues
Applications
Next.js and ReactReact Native and FlutterNode.js and PythonPostgreSQL
Hosting
AWS, including UK regionsDockerEncrypted storage and backupsInfrastructure as code
AI
Document extraction and OCRLLMs with retrieval (RAG)Open models hosted in your cloudEvaluation and audit logging
Patient communication
SMS and email notificationsOnline bookingVideo consultations (WebRTC)Card payments
Access and identity
Role-based access controlSingle sign-onMulti-factor authenticationSession and device controls
Security & data
How we handle health data.
Our approach to building with patient data — the engineering practices we apply by default, not a certificate on a wall.
Least-privilege access
Role-based permissions, single sign-on where you have it, and access reviews built into the admin tools from the first release.
Encryption and UK hosting
Data encrypted in transit and at rest, with hosting in UK regions whenever your data protection requirements call for it.
Audit trails by design
Who viewed or changed what, and when — logged so you can answer subject access requests and investigate incidents.
People review AI output
AI suggestions are presented for staff to accept or reject. Nothing clinical is automated without a person in the loop.
Data minimisation
Features collect only what they need, and identifiers are removed before AI processing wherever the use case allows.
Evidence for your IG team
We document data flows and controls so your DPO and IG lead have what they need for DPIAs and toolkit submissions.
We are a software development company, not a compliance consultancy or regulator. We build to the requirements your information governance, clinical safety (DCB0129 / DCB0160) and legal teams set, and provide the technical evidence they ask for — sign-off stays with your organisation.
Relevant work
Products we have designed and built.
Health and care projects from our case studies — telemedicine, pharmacy, imaging and fitness products.
All case studiesHealthcare · Web
Tekish Health
Telemedicine web platform: booking, video consultations and patient records.
Next.jsWebRTCFHIRAWS
Read the case studyHealthcare · eCommerce
Cyber Medic
Online pharmacy and lab-test booking app with prescriptions and delivery.
React NativeNode.jsStripeFirebase
Read the case studyHealthcare · AI
Dental.AI
AI-assisted dental imaging platform that flags conditions for clinician review.
Next.jsPythonTensorFlowAWS
Read the case studyHow we work
How a healthcare project runs with us.
Seven stages, the same on every project. The length of each one changes with the work; skipping one never saves time for long.
- 01
Discovery
Alongside users and goals, we ask the governance questions early: what data, whose consent, which systems, which clinical risks — and who signs off.
Scope with data and risk questions answered
- 02
Strategy
We agree what to build first and what to leave out, pick the engagement model, and set milestones with a budget range in pounds.
Scoped first release and estimate
- 03
UX & architecture
We prototype with patients and staff, design for accessibility from the start, and map every data flow in the architecture before code is written.
Tested prototype and data-flow diagram
- 04
Development
Two-week sprints with a demo at the end of each, code review on every change, and a staging environment your team can use.
Working software every sprint
- 05
Testing
Automated and manual testing, accessibility checks against WCAG 2.2 AA, and security testing — plus the evidence your clinical safety officer needs.
Test evidence and release checklist
- 06
Launch
Production deployment with monitoring, backups and a rollback plan, followed by a handover of code, credentials and documentation.
A live, documented product
- 07
Optimisation & support
After launch we fix, measure and improve — a support retainer, a roadmap of next features, or a clean handover to your own team.
Support plan or handover
FAQs
Questions we get asked.
Straight answers on scope, cost, timelines and how we work. If yours is not here, ask us directly.
Do you build software for NHS organisations?
We can work with NHS trusts, GP practices and companies that supply the NHS. Anything touching NHS systems brings specific assurance — such as Data Security and Protection Toolkit evidence and DCB0129 / DCB0160 clinical safety documentation — and we build and document to those requirements alongside your IG and clinical safety leads.
How do you handle patient data under UK GDPR?
Health data is special category data, so we design for it from the start: data minimisation, role-based access, encryption, audit logs and UK hosting where required. We support your DPIA with technical detail; your DPO and information governance lead make the compliance decisions.
Can you integrate with our clinical or practice management system?
Usually, through the supplier’s API — many modern systems expose HL7 FHIR or REST APIs. Some older systems only allow exports or supplier-built interfaces, so we confirm what is possible during discovery before committing to a design.
Can AI be used safely in healthcare?
For administrative and supporting tasks — summarising, extracting, drafting and routing — yes, with a clinician reviewing anything that affects care. We do not build systems that make autonomous clinical decisions.
Could our app count as a medical device?
It might. Software that diagnoses, treats or directly informs clinical decisions can fall under UK medical device regulation, overseen by the MHRA. We raise the question early so you can take regulatory advice, then build and document the software to match.
How much does healthcare software development cost?
It depends on scope, integrations and the assurance work involved. A discovery sprint starts from £2,000; a patient-facing MVP or an admin-automation pilot is then quoted as a fixed-price project, with documentation and assurance effort estimated separately so it is visible.
Can you improve an existing patient app instead of rebuilding it?
Yes. We usually start with a code and UX audit, fix what patients feel first — reliability, speed and booking friction — and modernise the rest in stages, so the service keeps running throughout.
Do you provide support after launch?
Yes: monitoring, security updates, fixes and new features on a support retainer, or a documented handover to your own team. Healthcare systems need looking after long after launch, and we plan for that from the start.
Start a project
Planning a healthcare software or AI project?
Tell us about the service, the users and the systems involved. We will come back with the questions that matter — including the data protection and clinical safety ones — and a realistic first step.
What happens next
- 1A senior engineer reads your brief within one working day, and replies with questions or a first view.
- 2A 30-minute call to understand the goal, constraints and what good looks like — no sales script.
- 3A written proposal with scope, milestones, team and a GBP estimate you can take to your board.
Techsleight Labs is a trading name of Krapton IT Consultancy.
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