Healthcare & Clinical

Workflow: Public Clinic Website

Before: A brand-new clinic had no website, so local patients searching for treatment couldn't find it.

Outcome: Showed up on Google for clinic searches within 3 days of launch — far quicker than most new sites. Early search traffic has since doubled, and Google reviews show patients finding the clinic online. Top marks on Google's site-quality checks: Best Practices 100, Accessibility 93, SEO 92.

System: A fast, professional clinic website built so Google understands it from day one and so it loads quickly anywhere. Fifteen blog posts went live at launch to start ranking for what patients search for.

Workflow: Online Booking & Payments

Before: With no online booking, every appointment came through phone and email — too slow for a solo owner, and invisible to anyone searching after hours.

Outcome: Bookings happen on their own, around the clock, with no staff time spent. The phone-and-inbox back-and-forth is gone — and that's admin the owner would otherwise pay someone to do.

System: Patients pick a free slot, pay, and get a confirmation on their own — day or night. Staff see every appointment in one live view. The clinic never has to ring anyone to fill a slot.

Workflow: 5-Role Clinical CRM

Before: Staff needed to handle patient records, signed consent, blood-test results, and GP letters across different roles — without paying for off-the-shelf software and without messy spreadsheets.

Outcome: Staff swap paper and spreadsheets for one tidy system with a full record of every action. Reading blood tests from a photo saves real time per patient, and locked consent means the clinic is legally covered from day one.

System: One system covers the whole patient visit: a guided intake form, signed consent that locks once it's done, AI that reads blood-test results straight from a photo, GP letters and invoices generated for you, and a record of every action for your protection. Each staff member only sees what their job needs.

Workflow: AI Content Machine

Before: Regular blog posts are one of the best ways for a local clinic to win new patients — but writing and publishing one a week is half a day's work no solo owner can keep up.

Outcome: The clinic keeps publishing without a writer, an agency, or more than a few minutes a week. Its presence on Google keeps building on its own.

System: Every Monday it finds the search topic most likely to bring in customers and AI writes the full post. The owner reads it and clicks approve, and it goes live on its own. The owner's whole job is one click.

Workflow: Weekly Search Health Score

Before: A clinic owner has no single view of how findable they are. Google rankings, map results, site health, and whether they show up in AI answers like ChatGPT all sit in separate tools — or nowhere.

Outcome: The owner gets one weekly read on how findable the clinic is — no tool-hopping, no guessing. Problems surface on their own, progress is easy to watch, and the owner can see whether Google is actually bringing in patients.

System: Every week it checks four things — how the clinic ranks on Google, where it shows up on the map across the area, whether the site is healthy and fast, and whether it appears in AI answers like ChatGPT and Gemini — and rolls them into one 0–100 score with a clear to-do list. The owner sees one number and knows what to fix.

Workflow: 5-Platform Social Autopublisher

Before: A solo clinic owner can't keep up a steady presence on five social channels without spending hours a week making and posting content.

Outcome: The clinic stays active on every channel without the owner spending time on any post. Visibility grows as a free side-effect of the content the system already writes.

System: Posts written by the content machine go out on their own to Instagram, Facebook, TikTok, Google Business Profile, and LinkedIn. No posting by hand, no reformatting for each channel.

Workflow: Run the Clinic by Text Message

Before: The clinic's content, SEO, and social tasks involve many steps across many tools. Without something tying them together, each one means remembering what to run and doing it by hand.

Outcome: The owner runs the whole clinic from their phone. The multi-step work happens reliably in the background, and the owner just sends a text.

System: All the automated steps — writing content, checking search, scheduling posts — are wired together to run reliably on their own. On top of that, a chat assistant lets the owner run everything from a text: approve a post, start a search check, check on the clinic, or kick off new content, with no dashboards to open.

Workflow: Reliable, Always-On Platform

Before: A clinic platform this size — website, records system, scheduled tasks, automatic emails and texts, monitoring — would normally need an ops team to keep it running.

Outcome: The clinic gets a fast, reliable platform with scheduled tasks, automatic messaging, and round-the-clock monitoring — with no separate ops team to pay for.

System: The whole platform runs fast and stays online, sends confirmation emails and texts, runs scheduled tasks, and watches itself around the clock — all kept running by one person. If something goes wrong, it can be rolled back safely.

Workflow: Online Booking & Payments

Before: There was no online booking. Drivers phoned or emailed to arrange medicals across 7 clinics, staff juggled the calendar by hand, and double-bookings were always one slip away.

Outcome: Bookings and payments happen without staff lifting a finger, double-bookings are designed out, and the phone-and-inbox scramble is gone.

System: Drivers book and pay themselves across any of the 7 clinics — by card, PayPal, or cash — and a built-in guard makes it impossible for two people to take the same slot. It's live and taking real payments today.

Workflow: One System to Run All 7 Clinics

Before: Seven clinics were run across scattered spreadsheets, paper, and disconnected tools, with no single view of the business.

Outcome: The whole business runs from one screen instead of scattered spreadsheets, invoicing for fleet and employer clients is handled in-house, and roughly 10 hours of admin a week disappears.

System: One system for everything staff need to run the clinics: a shared calendar, staff rotas, customer records, invoicing for fleet and employer clients, and reporting across the whole business — with each person seeing only what their role needs.

Workflow: Automatic Reminders & Renewal Nudges

Before: Driver medicals expire on a schedule, but nothing reminded anyone. Drivers missed appointments, and the business had no way to bring them back except hoping they remembered.

Outcome: Reminders and renewal nudges run on their own — the levers to cut no-shows and bring drivers back are in place, plus a 1,090-customer list rebuilt to re-engage. The measured impact lives in the client's analytics.

System: Reminders go out by text and email before each appointment, and renewal nudges fire automatically as a driver's medical nears expiry — all without staff touching it. From the old booking system, a list of 1,090 lapsed customers was rebuilt and made ready to win back.

Workflow: Local Search, Rebuilt to Compete

Before: The one-page brochure gave Google almost nothing to find — no local pages, no service pages, no useful content. It showed up for 15 searches; competitors showed up for 620–1,200 each.

Outcome: The reason the old site couldn't compete is gone: 42 local and service pages and 15 guides are live and built to rank. The live ranking movement shows up in the client's Google reports.

System: 42 local and service pages, plus 15 in-depth driving-licence and fitness-to-drive guides — so the site finally gives Google a reason to show it. The pages are built and live; the rankings that follow show up in the client's own Google reports.

Workflow: DVLA Fitness-to-Drive AI Assistant

Before: Drivers with medical conditions often don't know whether they must tell the DVLA or can sign off themselves. The answer depends on the exact condition — and general AI tools get it wrong far too often to trust.

Outcome: A documented, verified benchmark: 88% correct on DVLA clinical questions, against the best general AI's 46%. Built and benchmarked, ready for whenever the client chooses to switch it on.

System: An assistant that answers strictly from the DVLA's own fitness-to-drive guidance, then tested head-to-head against the leading general AI tools on a set of real clinical questions. In that benchmark it scored 88% correct against their best of 46%. It's built and benchmarked — going live is a decision for the client.

Workflow: Patient Records Built to NHS Standards

Before: Clinical software built on a sloppy records structure can't talk to NHS systems and won't pass review. Getting this right first is the hardest, most important call — fix it later and you rebuild everything.

Outcome: A records foundation that fits NHS systems and holds up under review — built once, correctly, before any screens. Everything else in FlapTrack is built on top of it.

System: Patient records covering the whole flap-surgery journey, built to the standard the NHS uses. Safety checks live inside the records themselves, so bad data can't sneak in. Each hospital only sees its own patients — that separation is locked in by the structure, not left to app code to remember.

Workflow: Automatic Red/Amber/Green Safety Alerts

Before: Deciding whether to call the surgeon now or wait can't hang on gut feel — that's inconsistent and slow. A safety call this important needs clear rules that always fire the same way and can't be talked out of.

Outcome: Safety alerts that fire the same way every time, leave a clear trail, and can be reviewed by a Clinical Safety Officer without reading any code.

System: Reads the bedside observations and gives a Red, Amber, or Green result using fixed safety rules — no guessing, no AI making it up. The same readings always give the same answer, and every alert scenario has a test proving it still works. The rules run on the server, so the result can't be faked or skipped from the app.

Workflow: Standard NHS Clinical Codes

Before: Clinical software that records conditions as free text can't connect to NHS systems or be searched properly, and it fails review. The codes have to go in while the records are designed, not bolted on later.

Outcome: Conditions are recorded in standard NHS codes, not loose text — so connecting to NHS systems and passing a safety review is a clear next step, not a rewrite.

System: Records flap-monitoring conditions using 157 codes from SNOMED CT, the standard NHS clinical terminology. Each code is tracked back to where it came from. They're candidate codes — unverified, awaiting Clinical Safety Officer sign-off before any clinical use — and the trail makes that review easy to follow.

Workflow: Clinical Homework & NHS Approval Plan

Before: Health software that doesn't understand the real clinical work, or have a plan for NHS approval, fails at the first review. That groundwork has to come before any product code.

Outcome: The clinical and approval groundwork is written down and checkable: it reflects real surgical practice, and the route to NHS approval is clear to reviewers, investors, and clinical partners.

System: Built on how 20 flap types are actually monitored across 3 specialties, grounded in 5+ peer-reviewed papers and NHS guidance, with 24+ rival systems studied. A plan maps out every NHS approval the product will need and where it stands on each — none earned yet, but the path is written down, not guessed.