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The before photo reaches the patient record before the doctor puts the tablet down. None stays on anybody’s phone

Before-and-after photos in the record

The doctor starts each photo session by photographing the visit code, then takes pictures with the clinic tablet just as he does with a phone today. A robot matches every photo to the right patient and visit, labels it, files it in the record and clears the device. At the follow-up the doctor has before and after side by side, and only photos the patient separately agreed to publish ever reach publication.

Quick winMicrosoft TeamsHuman in the loopDeterministic automation
3 deviceshold before-and-after patient photos at this model clinic: the treatment room tablet, the reception phone and the private phone of a doctor who has been working elsewhere for a month.

Executive summary

The challenge

Before-and-after photos are part of the treatment record, yet today they are often taken on whatever phone is at hand and wait for a transfer that does not always happen.

What changes

A robot matches photos from the clinic tablet to the visit by a code, labels them, files them in the patient record, clears the device and makes sure a treatment that requires photos does not skip them.

Business value

No more patient photos on private phones, a before-and-after comparison at the follow-up in seconds, a clear line between the record and publication; less risk and less searching.

Systems involved

a clinic tablet with an intake folder in OneDrive; a visit card with a code; the record in the clinic system or a SharePoint archive with permissions; alerts for doctors in Microsoft Teams

Business problem

The before photo is the most valuable document in a patient’s file, and it is kept worse than a receipt

In aesthetic medicine the before photo is the reference point for everything that follows. It shows the result at the follow-up, settles the doubts of a patient who a month later no longer remembers how she looked, and protects the clinic when a complaint arrives. Without it a conversation about the result turns into an argument about memories.

Yet photos are taken on whatever is at hand. The treatment room tablet, the reception phone, sometimes a doctor’s private phone because it was nearest. The file is named whatever the camera called it, and the transfer to the record waits for a free moment that never comes on a day with twenty visits. Some photos reach the record a week later, some never.

Two moments cost the most. The first is a follow-up or a complaint, when the before photo is needed and nobody knows which device holds it, or whether it was taken at all. The second is the day a doctor leaves the clinic or loses a phone, and patient photos the clinic should control exclusively walk out with it.

Then there is publication. Photos for social media and the website need separate patient consent, and when they all sit in one gallery, the line between the record and marketing depends on the memory of whoever picks a photo for a post. That is no place for memory.

How it works today

Below is what the work looks like before anything is automated.

  1. PersonThe doctor takes the before photo on whatever is at hand
  2. Risk of errorThe photo lands in a phone gallery, next to private ones
  3. WaitingThe transfer to the record waits for a free moment
  4. Risk of errorThe file carries a camera number instead of patient, date and area
  5. WaitingAt the follow-up nobody can find the before photo
  6. Risk of errorSome photos never reach the record at all
PersonRisk of errorWaiting

Why the current process costs more than it appears

The bill that never shows up in a budget.

  • On how many devices are your patients’ photos today, and do they all belong to the clinic?
  • How long does it take to find a before photo from three months ago?
  • What happens to the photos when a doctor leaves the clinic or changes phones?
  • Who checks that a photo in a post is backed by the patient’s consent to publication?

Cost of inaction

Yearly: moving and labelling photos, 4 minutes × 350 visits with photos a month≈ 7 800 € of staff time
Searching for photos at follow-ups and complaints, 5 minutes × 150 times a month≈ 4 200 € a year
Patient photos on private phonesa data breach risk that cannot be priced in advance

The model assumes photos are taken at about 350 of 600 treatment visits a month and a fully loaded staff hour of 28 €. You will know your own number by counting for a week how often someone moves, labels or searches for a photo.

The third line has no amount on purpose. A lost phone with patient photos is a matter for the data protection officer, not for a spreadsheet.

Illustrative scenario

A model organisation with realistic proportions – the numbers exist so you can run the same maths on your own data; they are not a client result.

Organisation

An aesthetic clinic: 3 treatment rooms, 5 doctors and cosmetologists, about 600 treatment visits a month, some 350 of them with photos, Microsoft 365, records in the clinic system.

Volume

Each morning the robot prepares cards for the day’s visits with a code for every room. The card is on the room computer’s screen or printed by the chair.

Current process

Before the treatment the doctor photographs the visit code with the clinic tablet, then takes the before photos as usual. The tablet sends them to the clinic’s intake folder.

Bottleneck

The robot reads the code from the first image, matches the whole series to the patient and visit, labels the photos with date, treatment and a before mark, files them in the record and deletes them from the tablet.

Solution

For a treatment that the clinic’s rules say requires photos, when none have arrived, the robot sends the doctor an alert in Teams while the visit is still running. A before photo can only be taken before.

Potential effect

Six weeks later, at the follow-up, the doctor opens a before-and-after comparison of the same area with one click. In the modelled year the clinic recovers about 10 000 € of staff time. These are model figures, not the clinic’s records.

Proposed solution

The core is the visit code. Each morning the robot prepares visit cards with a code for every room, and the doctor starts every photo session by photographing that code. Everything taken after it belongs to that visit, until the next code. Nobody types anything, and a photo cannot land in the wrong file because of a misspelt name.

Photos are taken only with the clinic tablet, which sends them to an intake folder in Microsoft 365. The robot matches the series to the patient, labels the photos to an agreed pattern, files them in the record in the clinic system or in a SharePoint archive with permissions, and deletes them from the device. At the follow-up it puts before and after of the same area side by side, and for treatments that the clinic’s rules say require photos it makes sure none are missing.

Publication is a separate world. Consent to photos in the record and consent to their use in clinic materials are two different consents, and the robot marks every photo with its status. Only a photo with valid publication consent, chosen by a person, can reach the folder marketing works from. The robot does not assess photos or treatment results; it keeps them in order and guards access.

Native capabilities used

UiPath Orchestrator: matching photos to visits by code, labelling, filing, alerts on gaps and an audit trail; UiPath Integration Service connectors to OneDrive, SharePoint and Teams

What we build

Visit cards with a code for every room, photo naming and labelling rules, a list of treatments requiring photos, the before-and-after comparison for follow-ups and publication consent marks

Dedicated integrations

A clinic tablet with OneDrive and device management in Microsoft 365; the clinic system with the visit list and records via export or API

How the automated process works

  1. PersonThe doctor photographs the visit code, then takes photos with the clinic tablet
  2. AutomationThe robot matches the photo series to the patient and visit by the code
  3. AutomationLabels, the patient record, a cleared tablet
  4. AutomationNo photos for a treatment that requires them: an alert to the doctor
  5. SystemAt the follow-up, before and after side by side with one click
  6. PersonPublication only for photos with separate consent, chosen by a person
AutomationPersonSystem

Human-in-the-loop model

Automation handles

  • Visit cards with a code and matching photos to patients and visits
  • Labels, filing in the record and clearing the tablet
  • Alerts on missing photos and before-and-after comparisons for follow-ups

People decide

  • Taking and assessing photos: the doctor alone
  • The list of treatments requiring photos and the label pattern: set by the clinic
  • Choosing photos for publication among those with separate consent: a person, not the robot

Before and after

BeforeAfter
Where the photos areon three devices, one of them privatein the patient record, the tablet empty
A photo’s labela camera numberpatient, date, treatment, before or after
The before photo at the follow-upa search through galleriesbeside the after photo, one click
Publicationdepends on memoryonly with separate consent, marked on the photo

Systems and integrations

The stack is short on purpose: one engine, one execution layer, one place where a person decides.

Inputs

  • the day’s visit list from the clinic system
  • photos from the clinic tablet in the intake folder
  • patients’ consent to photos and to publication
  • the list of treatments that the clinic’s rules say require photos

Automation layer

  • UiPath Orchestrator
  • UiPath Robots
  • UiPath Integration Service
  • UiPath Action Center

Target systems

  • photos labelled and filed in patient records
  • alerts on missing photos in Teams
  • before-and-after comparisons for follow-ups

Human touchpoints: the doctor photographs the visit code before a photo session; a person named by the clinic picks photos for publication; a monthly look at the gaps report

visit list + photos from the clinic tablet + consentsUiPath OrchestratorUiPath Robotsa UiPath robot: code matching, labels, archiving, alertspatient record + Teams (doctors) + a publication folder only with consent

Technologies used

UiPath Robots + Orchestrator

matching photos to visits by code, labels, filing, an audit trail

A
UiPath Integration Service (OneDrive, SharePoint, Teams connectors)

the intake folder, the archive with permissions, alerts for doctors

A
A SharePoint library with permissions

a photo archive per patient, when the clinic system does not accept files

A
A clinic tablet with OneDrive

photos sent straight to the clinic folder; the device managed in Microsoft 365

B
The clinic system

the visit list and storing photos in the record via export or API

B
Averified product capability (vendor documentation)Bverified external source

Illustrative economic model

Numbers you can check against your own data.

Illustrative model
Photos reach the record by themselves, by visit code≈ 6 500 € / year of staff time
The before photo at follow-ups and complaints in seconds≈ 3 500 € / year
No patient photos on private phonesthe data breach risk closed; left unpriced
Yearly value of recovered staff time (illustrative)≈ 10 000 €

The model assumes 350 visits with photos a month and the cautious assumption that part of the photo work stays with people. The most important line has no amount: patient photos stop leaving the clinic in other people’s pockets. Put your own figures into the calculator beside.

Run the maths on your data

hours to recover monthly
of annual capacity to recover

An illustrative estimate based on your inputs. It models freed capacity, not promised savings.

Business benefits

  • Patient photos only on clinic devices and in clinic systems
  • Every photo matched to the right visit without typing names
  • The before photo beside the after photo, at the follow-up and in a complaint
  • Missing photos for a treatment that requires them show up during the visit
  • A clear line between record and publication, stored with every photo

The management view

  • A clinic that shows the before photo in seconds discusses the result on facts, not on memories
  • A doctor leaving is no longer a risk to patient data
  • An orderly archive with consents is material marketing can use without worry

Board-level KPIs

visits with all required photos · time from photo to record · time to find a before photo · photos outside clinic devices (target: zero) · publications with consent marked on the photo

Security and governance

The automation has exactly the permissions it needs. Not one more.

  • Photos do not stay on the device: once filed in the record, the tablet is empty
  • Access to photos is for the treating doctor and people named by the clinic; every view leaves a trail
  • Publication consent is separate from consent to photos in the record; without it a photo does not reach the marketing folder
  • The robot records a withdrawal of publication consent at once and shows where the photo was used
  • Data stays in your Microsoft 365 tenant; the robots run in the EU region of UiPath Automation Cloud

Why now

01

Every day of photos on random devices adds files that will one day need finding, moving or explaining.

02

Patients increasingly ask where their photos go; a good answer builds trust before the first treatment.

03

A quick-win deployment takes weeks and works from the first photo session after go-live.

Relevant executive roles

Clinic owner

Patient photos only in clinic systems, and peace of mind when a doctor leaves or a data protection review comes

Doctor

Takes photos as before, and at the follow-up has before and after side by side without searching

Patient

Knows her photos are in the record, and in publications only if she herself agrees

Common questions and objections

Does the doctor have to do anything more than today?

One thing: before a photo session he photographs the visit code from the card in the room. The rest, matching, labelling, filing and clearing the tablet, the robot does.

Our clinic system does not accept photos. What then?

Photos go to a SharePoint archive with permissions, organised per patient, and the clinic system can hold a link to the folder. Access and the viewing trail work the same way.

Does the robot choose photos for social media?

No. The robot only ensures that nothing but a photo with the patient’s separate consent can reach the publication folder. The choice of photo, the crop and anonymisation are done by a person.

When this is not the right solution

  • A clinic that photographs a handful of treatments a month: a simple procedure is enough
  • A team unwilling to take photos only with clinic devices: without that the solution loses its point
  • Expecting automatic assessment of results from photos: that is the doctor’s decision, not the robot’s

A question for the next management meeting

If a patient asked tomorrow for her before photo from six months ago, how long would it take to find it?

Implementation approach

Scope without ambiguity, before anything is signed.

We deliver

  • Visit cards with a code for every room and photo matching by code
  • Photo labelling rules and filing in the record or an archive with permissions
  • Alerts on missing photos and before-and-after comparisons for follow-ups
  • Publication consent marks and a separate folder for marketing
  • A handbook for doctors and assistants and two weeks of assistance after go-live

We need from you

  • A clinic tablet, ideally one per room, and a decision to stop using private phones
  • Access to the visit list and records in the clinic system
  • The list of treatments requiring photos and consent wording set by the clinic

Stages

Discovery

Where photos are taken and kept today, who can reach them; half a day at the clinic

Rules

Label pattern, treatments requiring photos, permissions, the publication folder

Build

Code cards, matching, archiving, alerts, before-and-after comparisons

Parallel run

Two weeks in one room; we check every match

Go-live

All rooms; a review of the archive and consents after a month

A quick win. The biggest change is organisational: patient photos are taken only with a clinic device. Technically it is a few weeks.

The before photo in the record before the doctor puts the tablet down. Beside the after photo at the follow-up. On no private phone.

Count the devices that hold your patients’ photos today and the time it takes to find one photo from six months ago. Send us those two numbers; we will send back a photo workflow design for your clinic and the arithmetic of the time recovered.

Find out where your photos live today

The neighbouring process usually has the same problem

Industries where we deploy this most oftenAesthetic medicineSmall business & services

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