GraftTrack is a patient follow-up app and clinic panel that manages your hair transplant patient's 12-month recovery journey after the operation. It turns the care protocol your clinic writes into day-by-day tasks, collects photo sessions, answers the question “is this normal?” with your own rules, and routes only work that requires a decision to your panel.
Built for health tourism: a patient may fly home on day 3, but follow-up doesn’t stop. A flow that works in their language, in their time zone, and even offline.
| What it is | Post-hair-transplant patient follow-up app (Android) + clinic panel inside ÖzgürKod CRM |
|---|---|
| Who it's for | Hair transplant centers, health tourism clinics, aesthetic clinics |
| Follow-up period | 12 months from the day of the procedure, 5 phases |
| Photos | 6 sessions (day 0, day 15, month 1, month 3, month 6, month 12) × 6 angles |
| Sign-in method | One-time invite code from the clinic + the last 4 digits of the patient’s phone number. No SMS. |
| Languages | Turkish, English (Arabic, German, French, Spanish, Russian planned) |
| Branding | White-label — the clinic’s logo, color and welcome text |
| What it doesn’t do | It doesn’t diagnose, doesn’t analyze photos automatically or with AI, and doesn’t score medical outcomes |
The procedure ends, the real work begins. In hair transplants the sale closes in a day; the result shows over 12 months. Today, most of that 12-month load sits on WhatsApp and memory.
“When can I wash it?”, “Is the crusting normal?”, “Can I wear a hat?” The same answers get retyped at 02:00 in the morning. When the person who wrote the answers leaves, the knowledge goes with them.
In health tourism, patients fly home on day 3. When they panic in month 3, nothing from you is by their side — only internet forums are.
Between days 31 and 90, the transplanted hair sheds. Patients who don’t know this think it “didn’t take”; bad reviews and refund requests are born right here.
Your most valuable marketing material — real before/after — never gets collected. And in a dispute, you have no record either.
Which task on which day, which medication, which video, what to avoid — you define it in the panel. You can keep separate protocols by procedure type and transplant method (FUE, DHI, sapphire, beard, eyebrow, repair).
There isn’t a single medical threshold in the code. Not the day ranges, not the triage rules, not the warning texts. All of it is managed from this screen; medical responsibility stays with the clinic.
When the procedure appointment moves to left the clinic status, follow-up starts on its own. You give the patient the one-time code as a QR code, via WhatsApp, or as a printout.
The patient enters the code and the last 4 digits of the phone number on file at your clinic to get into the app. No SMS is sent: no cost, and the patient’s number never goes to a third-party service for verification.
Daily reminders, phase transitions, content unlocks and photo session invitations run automatically. Your panel’s work queue shows only the items waiting on a human decision.
Sort order is urgency first, then longest waiting. “Newest first” buries old items at the bottom; here red triage is always at the top.
The user of this app is anxious. The interface’s first job isn’t to inform — it’s to calm. When patients open the app, they don’t hunt for the answer to “what should I do today” — they find it in the middle of the screen.
Medication, washing, care, photos and things to avoid. Timed reminders, quiet hours, the patient's time zone. Check-offs work offline too; the queue syncs when the connection returns.
Five phases, milestones, and what to expect in each period. The patient sees where they are and what lies ahead — uncertainty is fuel for anxiety.
A head silhouette mask and a ghost image from the previous session. The shutter won't open if the angle doesn't match — photos that can't be compared are prevented from the start.
Videos and articles written by the clinic, unlocked by day. Month 3 content arrives in month 3; the patient isn't handed 90 days of information in a pile on day one.
In-app messages and appointment requests. The emergency button doesn't write to the inbox; it dials the clinic's emergency number directly. An inbox nobody is watching at 03:00 a.m. doesn't help.
Badges mark behavioral consistency, not medical outcomes. No leaderboards, no patient comparisons, no judgmental figures like “your adherence score is 62.”
The clinic's theme stays fixed, but the background tone, motion energy and on-screen task density shift with the patient's phase.
| Period | Day | What the patient experiences | How the app behaves |
|---|---|---|---|
| Critical period | 0–10 | Grafts are settling; the most fragile stretch | Guiding tone, 4–6 tasks, counter front and center |
| Scabbing | 11–30 | Scabs are shedding, itching | 2–3 tasks, “don't force it” content |
| Shock loss | 31–90 | Transplanted hair falls out — this is where panic peaks | Fewer tasks, explanatory content front and center, calmer tone |
| Sprouting | 91–180 | New strands begin to appear | Organic movement, month 3 photo session |
| Growth | 181–365 | Density increases, results take shape | Photos front and center, before/after comparison |
The patient boards a plane; the follow-up continues. Most hair transplant patients come from abroad and usually return to their country on day 3. The bond with the clinic breaks right as the longest part of recovery begins. The real problem in medical tourism follow-up isn't distance — it's losing continuity.
The dashboard tells you who, not just a number. The sentence “3 photo sessions awaiting review” is useless on its own. If the doctor has to go patient by patient to find those three, the work the app generates might as well not exist on the clinic's side.
When the list reaches its limit, it tells you. A queue that is silently cut creates the illusion at the clinic that “we're done for today.”
The image above is a mockup of the clinic panel; the sample patient names are fictional.
Active patient count, phase distribution, pending photo sessions, triage results and app adoption rate on one screen.
Every pending item with the patient's name and a direct link to the patient record. Urgency order is red → orange → yellow, and within the same level the oldest comes first.
Task template editor: type, title, day range, repeat, time, mandatory status, related video, product and dose. Bulk add, cloning, phase grouping and gap warnings. Patient-view preview: “this protocol produces the following on day 12.”
You write the symptoms, questions, conditions and result texts. The system only applies your rule — it does not learn, calculate thresholds or make inferences.
6 angles side by side, compared with the previous session. You write a comment and give an assessment: normal, follow up or come to the clinic. The patient is notified the moment you approve.
Response time target, quiet hours, form of address (informal/formal), which modules are enabled, emergency number. If you try to enable a module with no content, the system rejects it with the reason.
In a healthcare product, what you don't do matters as much as what you do. The items below are not missing features — they are design decisions.
Triage applies the rules the clinic writes in the panel. The system has no inferences of its own, no learning model and no built-in medical thresholds.
No density measurement, graft counting or AI assessment. Every comment the patient reads is a text written by a person at the clinic.
The language guide forbids it: not “your hair will grow” but “growth begins in this period.” Every medical-context screen has a fixed line at the bottom: “this information is not a substitute for medical advice.”
No leaderboard, no patient comparison, no score on medical outcomes. A missed task is not shown in red — it appears in a neutral gray grid, without blame.
Apart from the notifications the clinic defines, the app sends nothing to the patient. No marketing messages, no third-party invitations, no automatic SMS.
Patients can share their own referral code; the app does not accept the name or number of someone it doesn't know and does not message that person. This is where the KVKK (Turkey's personal data protection law) and İYS (Turkey's commercial message registry) boundary is drawn.
Photos, graft counts, transplant areas and symptom records count as special-category health data under KVKK (Turkey's personal data protection law). This product was designed around that assumption.
Details: KVKK privacy notice · privacy policy
GraftTrack is not a separate system; it runs as a hair transplant module inside your existing CRM. Patient records, appointments and messaging are already there.
Start from ready-made FUE / DHI / Sapphire templates and adapt them with your own wording. No protocol goes live without your doctor's approval.
The starting point for follow-up is the procedure day. The appointment fills in automatically once the patient has left the clinic; for past patients there is a bulk matching screen.
The app is shown under your clinic's name. One image and one HEX color code are all you need.
A hair transplant patient follow-up program is software that manages the post-procedure care process in place of the clinic. GraftTrack does this with two parts: a mobile app on the patient’s phone and the clinic’s panel inside the CRM. It turns the care protocol the clinic writes into day-by-day tasks, collects photo sessions, runs symptom triage using the clinic’s rules, and shows pending work in a single queue on the panel.
No. GraftTrack does not send SMS to the patient, and this is not a gap but a deliberate choice. The patient signs in to the app with a one-time invitation code the clinic gives them and the last 4 digits of the phone number registered with the clinic. The code is delivered by QR, WhatsApp, printout or in person. This way there is no SMS cost, and the patient’s phone number does not go to a third-party service for verification.
No. GraftTrack performs no automated or AI analysis on photos at all. Every assessment the patient sees is text written by a person at the clinic. Symptom triage is not a learning model either; it applies the rules the clinic defines on the panel. Medical responsibility stays with the clinic.
Yes. GraftTrack supports white labeling: your clinic's logo, primary color and welcome text are loaded from the server, so patients feel they are using their own clinic's app. When a clinic picks a live color, the app automatically corrects contrast to the WCAG AA threshold, so text never becomes unreadable.
Each clinic's data is kept in its own isolated database; it is never mixed into a shared pool with other clinics. Health data is never written to the central account database under any circumstances. Photos are not stored behind public links; read URLs are re-signed on every request and expire within 5 minutes.
The app's tone changes with the phase the patient is in. During the shock loss period between days 31 and 90, the number of tasks on screen is deliberately reduced and replaced with “what's happening now” content. In that period, patients are looking for an explanation, not something to do. In addition, the “Is this normal?” flow evaluates the patient's concern against your clinic's own rules and gives a green, yellow or red guidance.
The clinic sees pending work in the panel in a single queue with patient names: photo sessions awaiting review, unanswered messages and triage results. Sorting is by urgency first, then by longest waiting. Care protocols, education content, triage rules, graft coefficients and clinic settings are also managed from the panel. No medical threshold is hard-coded in the code.
There are six sessions: the day of the operation, day 15, month 1, month 3, month 6 and month 12. Each session asks for six angles: front, crown, hairline, right profile, left profile and donor area. Each session has a tolerance; when the day passes, the session is not lost—it is marked as overdue. The camera screen shows the previous session's photo as a ghost overlay, so the same angle is captured every time.
Turkish and English in the first version. Arabic (full right-to-left mirroring), German, French, Spanish and Russian are planned. The patient's language starts from the language code in the CRM record and can be changed in the app. Education content and notification templates are language-specific.
Yes. GraftTrack is not a separate system; it is a hair transplant module inside ÖzgürKod CRM, where the patient card, appointments and messaging already live. There is a bulk matching screen for past patients: an operation date is suggested from appointment records, and you confirm it. For patients whose operation date is unknown, you can enter a date manually.
In medical tourism, the patient usually returns to their country on day 3 and follow-up breaks off there. GraftTrack steps in at that point: the patient sees their daily steps in their own country, in their own language, in their own time zone, and uploads their photo sessions from there. The clinic can follow the patient for 12 months without ever seeing them in person. Task check-off also works offline and syncs when the connection returns.
GraftTrack is offered as a hair transplant module tied to an ÖzgürKod CRM subscription; there is no separate store app to purchase. You can check the pricing page for current plan and module prices, or talk to us about a setup tailored to your clinic as part of the pilot program.
If you would like to set up GraftTrack with your own protocol and your own patients and try it out, let's talk. We write your protocol together during setup.
If you are looking for the pre-sales side of hair transplant CRM: CRM for hair transplant centers · Pricing · Appointment scheduling