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[AI Training for healthcare professionals]

Train your teams in AI, meeting healthcare requirements

Galadrim designs AI solutions for healthcare facilities, health industry professionals, and medtech companies. Our trainers build each training course from your documents and confidentiality rules.
A training offer led by a healthcare sector specialist
Medical secrecy, GDPR, AI Act : your sector's rules integrated into the exercises
Examples drawn from our AI projects for healthcare professionals
Receive a programmeSee the formats
Health
These healthcare professionals entrust their tech and AI projects to Galadrim
100+projects delivered for healthcare professionals
150+AI solutions deployed with our clients
800+clients supported
[The programme]

Four areas, a programme designed with you

We choose with you the areas to cover and the depth of each, depending on the professions to be trained and their level with AI.
Understanding AI and its limits
Language ModelsReliabilityVerification

Understanding AI and its limits

Your teams discover how a language model works, what it does well and where it makes mistakes. They learn to check each answer against original sources, an essential reflex in healthcare.
Protecting health data
Medical confidentialityRGPDAI Act

Protecting health data

What information can be entrusted to an AI tool? The training reviews health data, medical secrecy, and the tools authorised in your organisation. Your teams leave with simple rules to apply daily.
Saving time on documents
SynthesisDraftingProcedures

Saving time on documents

Summarising a documentation file, drafting an information document for patients, preparing a quality procedure. Your teams practise on documents similar to their own, anonymised if needed.
Identify uses to launch in your organisation
Galadrim ProjectsUse casesPrioritisation

Identify uses to launch in your organisation

Our trainers present AI uses already implemented by healthcare professionals, drawn from Galadrim's projects. Your teams thus identify the cases to launch as a priority in your organisation.
[By team]

What each team learns to do with AI

Three examples of exercises per team. We then replace them with tasks drawn from your activity.
01

Leadership

Prepare a summary note for a committee
Compare several scenarios before a decision
Establish AI usage rules within the company
  • Strategy
  • Usage Rules
02

Quality and regulatory affairs

Prepare a quality procedure
Summarise a regulatory text
Prepare an audit
  • Procedures
  • Regulation
03

Marketing and Communications

Draft an information document for patients
Adapt content for multiple audiences
Prepare a newsletter
  • Content
  • Patient information
04

Patient relations

Prepare the answer to a frequently asked question
Classify received requests
Summarise patient feedback
  • Requests
  • Patient feedback
05

Product

Draft a user story from user feedback
Prioritise evolution requests
Prototype an idea before presenting it
  • Specifications
  • Prototyping
06

Development

Configure a code agent
Write tests
Review code produced by AI
  • Code agent
  • Code Review
[Our method]

A training course designed based on your business activity

Three steps, from initial discussion to usage monitoring.

A scoping discussion

We review with you the professions to be trained, your tools, authorised AI tools, and your rules on health data. Each participant then completes a questionnaire before the training.

Tailor-made sessions, practice-focused

The trainer builds each session for your teams. Everyone practises on documents similar to their own, anonymised if needed, with the trainer available to assist them.

Post-training support

Your teams leave with the training materials, exercises, and prompts. One month later, we check in with you. A discussion channel remains open in the meantime for their questions.
[Client Case Study]

Training delivered in digital health

DIGITAL HEALTHLyv Healthcare

Training all roles within a health start-up in AI over one day

Lyv Healthcare designs an app that helps women living with endometriosis to better manage their symptoms. Galadrim gathered the entire team for a day, with a mix of collective sessions and small-group workshops tailored for the various roles, to discover AI and to practically integrate it into their day-to-day work.
On the agenda: the basics of how language models work and their ecological challenges, then use cases specific to each profession: development, product, quality and regulation, marketing, patient relations, and management. Each participant left with use cases designed for their role, ready to be implemented in the following days.
+80NPS at the end of the day
10participants trained
6custom-built use cases
Lyv Healthcare Logo
[Your Contact Person]

A training offer led by a health specialist

Orianne Brion leads Galadrim's AI training offer. For four years, she was chief of staff at Sorella Care, a network of health centres dedicated to women.
Before that, at Galadrim, she worked as a salesperson and Product Manager, primarily with healthcare companies.
Today, she is back at Galadrim, leading the AI training offering. She defines its strategy, designs the programmes, and manages the team of trainers. You will speak with her during your first meeting.
Book an appointment with Orianne
Portrait of Orianne Brion
[Our Health Projects]

Projects carried out with health sector stakeholders

See all our references
Galadrim designs software and AI solutions for healthcare facilities, health industry manufacturers, and medtech companies. Our trainers draw on these projects to illustrate the training with examples from your sector.
Okantis
Hospital IT

Okantis

AI agents that anonymise, read, and analyse the medical documents of a hospital group

RSD Medical
Medtech

RSD Medical

A conversational agent that gathers patient history before an anaesthesia consultation

Posos
e-health publisher

Posos

A search engine that combines treatments with the patient's profile, for 80 000 healthcare professionals

[Formats and Durations]

A format for each objective

  • 1 to 3 days
    Business or technical teams

    Bespoke training

    Exercises built on your documents, incorporating the rules governing health data. The training takes place intensively or in four sessions spread over six to eight weeks. After the training, follow-up support is provided to each individual for their specific real-world cases.
  • Half-day
    Executive Committee and Steering Committee

    Executive Workshop

    Dedicated workshop time for management, to define the role of AI in your strategy based on existing uses in healthcare.
  • 1 to 2 hours
    The entire company

    AI Plenary Session

    A presentation to all your employees, illustrated by AI applications in healthcare.
  • 1 day
    Mixed teams

    AI Hackathon

    Mixed teams imagine and prototype AI uses on subjects specific to your activity.
  • Ambassador employees

    Training for AI Referents

    Volunteer employees become AI relays within their teams and support their colleagues daily.
01/05
[By profession]

Exercises specific to each profession

Within the same healthcare organisation, management, quality assurance, marketing, and technical teams use AI for very different tasks. Therefore, we train your employees by job role, with exercises drawn from their daily work. We also train companies from other sectors, following the same logic.
View training courses by role
A team around a table with laptops listens to a person at the whiteboard

Organise AI training tailored to the health sector

Book an appointment with a trainer
[FAQ]

What health sector stakeholders ask us

It depends on the tool, its hosting, and the type of data. We review your rules during scoping: relevant data, authorised tools, usable documents. The training then explains to your teams what they can entrust to an AI tool and what remains within your systems.
These practices show that your teams are keen to progress. We first help you choose tools suitable for professional use and verify their configuration. The training then shows everyone what they can entrust to an AI tool and what must remain internal. We also help those who were experimenting alone to share their practices with their colleagues.
You choose. We work on your documents, anonymised if necessary, or on exercise documents that reflect situations from your activity. The exercises work very well with fictitious data.
All job roles within a healthcare organisation: management, quality and regulatory affairs, marketing, patient relations, product, and development. We have already trained these six job roles in a single day at a health start-up, with small group workshops.
Training courses are open to all profiles, regardless of their level with AI. Only the developer training requires coding knowledge.
Yes. Galadrim designs and develops software and AI solutions for health sector stakeholders, deployed on HDS-certified infrastructures. A use case identified during the training can become a project undertaken with your teams.
Your employees can ask our trainers questions on a dedicated hotline. One month after the training, we'll review with you the adopted uses and topics to explore further. A second review at three months is available as an option. Upon request, individual interviews allow each person to bring a concrete case and leave with a solution.
Depending on your company size and your skills operator, all or part of the training may be covered. We help you prepare the application from the initial scoping.
The price depends on the number of participants, the chosen format, and the time required to design examples specific to your business activity. Tell us who you'd like to train: you'll receive a detailed quote within 24 working hours.
[Contact us]

Let's discuss your teams' training

Tell us about your activity, the job roles you wish to train, and the number of people involved. A trainer will call you back to build the programme with you.

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