# AI Campus · HU Method

> How health-campus academics (physicians, pharmacists, dentists, midwives, nurses) use AI (Claude) across care, teaching and research: step-by-step method guides, case studies, management tabs and agents. Public content, fictitious examples, no personal data.

Read-only MCP connector: https://www.aicampus-lab.workers.dev/mcp (also https://www.aicampus-lab.workers.dev/mcp/researcher, /mcp/teacher, /mcp/clinician, /mcp/organiser). Full content as JSON: https://www.aicampus-lab.workers.dev/api/content.json

## Method
- [From idea to tool](https://www.aicampus-lab.workers.dev/en/de-l-idee-a-l-outil/): the five-stage method (idea, concept, build, test, go live)
- [Connectors, plugins and skills](https://www.aicampus-lab.workers.dev/en/connecteurs/): install the AI Campus agents in Claude

## Case studies
- [The department rota](https://www.aicampus-lab.workers.dev/en/cas/planning/): From a spreadsheet to an online tool shared by the whole team: absences linked to emails, freed rooms and stand-ins, tested delivery, publication in four clicks. The real journey, difficulties included.
- [The “conference presentation” skill](https://www.aicampus-lab.workers.dev/en/cas/presentation-congres/): From an invitation to speak to a single preparation workshop: entry point, bibliography, bank of past slides, validated storyboard, assembly on your template. The real journey of building the skill, mistakes included.
- [The “bibliography” and “literature watch” skills](https://www.aicampus-lab.workers.dev/en/cas/bibliographie/): A one-off review and a permanent feed: exhaustive PubMed search, tick-box table, legal download, filing, then one slide per reference. Two skills built one after the other, and why you need two.
- [The anticipation dashboard](https://www.aicampus-lab.workers.dev/en/cas/tableau-anticipation/): See it coming rather than suffer it: day, week, month and semester horizons; backward-planned deadlines; presentations at D-30; literature watch; administrative recurrences. How the second row of the dashboard was built.
- [Separating your projects by hat](https://www.aicampus-lab.workers.dev/en/cas/projets-par-casquette/): One single conversation for everything, then six workspaces: academic, consulting, finances, personal, family, system. How to divide things up, which boundaries to write down, and what got stuck.

## Guides
- [Organizing your files for AI](https://www.aicampus-lab.workers.dev/en/fiches/ranger-ses-fichiers/): A single root folder, flat work folders, a typology: the condition for AI to find, file and reuse your documents.
- [Setting safeguards](https://www.aicampus-lab.workers.dev/en/fiches/garde-fous/): Six rules written once and for all, applied across all your uses: never overwrite, never delete, never send, never write without validation.
- [Sorting your email by action](https://www.aicampus-lab.workers.dev/en/fiches/tri-des-mails/): Two email passes a day, sorted not by importance but by action: to reply, to do or to put in the calendar, to file, for information.
- [The Reactor, an anticipation dashboard](https://www.aicampus-lab.workers.dev/en/fiches/reacteur/): A single entry point that answers the question: what is coming up in the next few days, and what is ready?
- [Scheduled routines without runaway costs](https://www.aicampus-lab.workers.dev/en/fiches/routines-et-orchestrateurs/): Four orchestrators (morning, evening, weekly, monthly) driven by plans written in files, rather than twenty scattered tasks.
- [Organising your skills into hats (roles)](https://www.aicampus-lab.workers.dev/en/fiches/skills-et-chapeaux/): One orchestrator per role that routes to specialised building blocks: your know-how becomes reusable, by you and by others.
- [CV, reports and career file](https://www.aicampus-lab.workers.dev/en/fiches/dossier-de-carriere/): A single data sheet, updated as you go, from which the CV, the activity history and the annual reports are derived.
- [Prioritising your invitations](https://www.aicampus-lab.workers.dev/en/fiches/arbitrer-ses-sollicitations/): Conferences, podcasts, interviews, working groups: a calendar of invitations, date clashes settled early, and "no"s you can stand behind.
- [Cross-checked inventory of your activity](https://www.aicampus-lab.workers.dev/en/fiches/inventaire-croise/): Every two months, cross-check skills, dashboard, files and conversations to spot what is dormant, what diverges and what is missing.
- [The quality loop: check, assess, learn](https://www.aicampus-lab.workers.dev/en/fiches/boucle-qualite/): A living checklist per deliverable, a double test with evidence, and a self-learning loop: every error found becomes a rule that Claude rereads before producing.
- [Organizing the department's staff meetings](https://www.aicampus-lab.workers.dev/en/fiches/organiser-les-staffs/): List recurring staff meetings, keep the index of past talks, schedule the year's slots and spot topics never covered.
- [Department schedule and organization](https://www.aicampus-lab.workers.dev/en/fiches/planning-du-service/): Specify before building, cross-check assignments with the schedule without ever writing to it, spot conflicts every week.
- [Preparing a staff meeting talk](https://www.aicampus-lab.workers.dev/en/fiches/topo-de-staff/): Start from the bank of talks already given, pick a topic never covered, and produce a sourced update in a few slides.
- [Building a clinical case](https://www.aicampus-lab.workers.dev/en/fiches/cas-clinique/): From an anonymised discharge letter, a standard block of four slides: presentation, investigations, course, take-home message.
- [Imaging: from export to teaching material](https://www.aicampus-lab.workers.dev/en/fiches/imagerie-pedagogique/): Inventory an anonymized echocardiography or MRI export, sort the sequences, produce animated slides and quizzes.
- [Annual activity report for a unit](https://www.aicampus-lab.workers.dev/en/fiches/bilan-d-activite/): Fill in the official template for an annual report (laboratory, unit, technical platform) from a log kept throughout the year.
- [Putting together a department project](https://www.aicampus-lab.workers.dev/en/fiches/projet-de-service/): New position, task delegation, equipment, team seminar: a presentation for hospital management and a medico-economic section, prepared in one session.
- [Organizing a day or an event](https://www.aicampus-lab.workers.dev/en/fiches/organiser-un-evenement/): Patient day, public event, training day: agreement, contacts, day plan, press and logistics in a single file.
- [Laboratory protocols and procedures](https://www.aicampus-lab.workers.dev/en/fiches/protocoles-de-service/): Reading protocol, report validation and distribution workflow, the team's typical week: write, version and distribute the department's rules.
- [Requests for expert opinion and patient pathways](https://www.aicampus-lab.workers.dev/en/fiches/demandes-d-avis-et-parcours/): Requests for opinion, referrals, multidisciplinary meetings: a clear circuit, response templates and follow-up, without ever circulating identifying data.
- [Building the department's scheduling tool](https://www.aicampus-lab.workers.dev/en/fiches/creer-son-outil-de-planning/): A shared schedule on a single web page: template week, one tab per activity, month view, sync for the whole team, published online. Built with Claude, step by step.
- [Absences, freed-up rooms and stand-ins](https://www.aicampus-lab.workers.dev/en/fiches/absences-et-jokers/): When someone is absent, the room they were booked into becomes free: spot it automatically, suggest an available stand-in, and link absences to emails in both directions.
- [Organising the start of a DIU academic year](https://www.aicampus-lab.workers.dev/en/fiches/rentree-d-un-diu/): Rebuild the mailing list, settle the calendar, prepare the emails in the right order: the start of year of a multi-site diploma in one session.
- [Lectures, MCQs and exams](https://www.aicampus-lab.workers.dev/en/fiches/cours-et-qcm/): The chain of lecture, MCQs, exam-question review (docimology), exam and marking board, driven by D-30 and D-15 deadlines rather than by urgency.
- [Delivering, checking and publishing the schedule](https://www.aicampus-lab.workers.dev/en/fiches/publier-et-verifier-le-planning/): Local preview, automated triple test, double check of half-days and names, then publication in four clicks and online verification.
- [Preparing a thesis defence](https://www.aicampus-lab.workers.dev/en/fiches/soutenance-de-these/): Detect the defence at D-14, prepare the speaking notes for the supervisor or the jury president, and the report.
- [Supervising a thesis or dissertation](https://www.aicampus-lab.workers.dev/en/fiches/encadrer-une-these/): One tracking sheet per student, dated milestones, versioned reviews: supervise several projects without losing track of any.
- [Watching continuing education platforms](https://www.aicampus-lab.workers.dev/en/fiches/veille-formation-continue/): New webinars, modules and replays from continuing medical education platforms, collected every week and added to the dashboard.
- [Delegating and tracking teaching assignments](https://www.aicampus-lab.workers.dev/en/fiches/missions-pedagogiques-deleguees/): Assessment design, clinical semiology, tutoring, ECOS (OSCE): share assignments among junior faculty, appoint leads, follow the annual cycle without chasing people from memory.
- [Weekly literature watch](https://www.aicampus-lab.workers.dev/en/fiches/veille-bibliographique/): A few thematic PubMed feeds, deduplicated and sorted every week: 10 to 20 references, and a "make the slide" checkbox.
- [Literature review on a question](https://www.aicampus-lab.workers.dev/en/fiches/revue-de-litterature/): Exhaustive PubMed search, tick-box sorting, retrieval of open-access full texts, a Word synthesis and one slide per reference.
- [Preparing a conference presentation](https://www.aicampus-lab.workers.dev/en/fiches/presentation-de-congres/): Scoping, literature, inventory of your old decks, approved slide-by-slide outline, then building to your template and review.
- [Reviewing a thesis or a manuscript](https://www.aicampus-lab.workers.dev/en/fiches/relecture-de-manuscrit/): Three-level review in Word tracked changes, verified bibliography, arbitration of co-author feedback, always on a new version.
- [Organising a research database](https://www.aicampus-lab.workers.dev/en/fiches/base-de-donnees-de-recherche/): From raw file to versioned database: disease-specific core datasets, a pseudonymised index, quality checks, and a query page that shows only aggregates.
- [Organising a conference trip](https://www.aicampus-lab.workers.dev/en/fiches/deplacement-en-congres/): Tickets, programme and talks gathered into an hour-by-hour itinerary, with the points to watch.
- [Tracking your manuscripts through to submission](https://www.aicampus-lab.workers.dev/en/fiches/suivi-des-manuscrits/): A single manuscript portfolio: role, current version, next step, pre-submission checks. No more papers stuck at V12.
- [Peer reviews for journals and solicitations](https://www.aicampus-lab.workers.dev/en/fiches/relectures-pour-revues/): Accept few, review well, decline fast: sort review invitations, spot predatory publishers, meet your deadlines.
- [Managing your studies and cohorts](https://www.aicampus-lab.workers.dev/en/fiches/etudes-et-cohortes/): Ongoing data collection, site initiations, analysis plans, submission deadlines: one table per study and milestones planned backwards.
- [Working on a single slide](https://www.aicampus-lab.workers.dev/en/fiches/travailler-une-diapositive/): Check a slide's reference, add one, bring it back to the template, extract a figure from a PDF: the unit task that feeds every presentation.

## Management tabs
- Daily roadmap: Every morning, the day is pieced together from the calendar, emails and memory: where the room is, which slides are ready, who is waiting for an answer.
- Work in progress: Manuscripts, applications, department projects: a dozen projects open in parallel, some of which lie dormant without anyone noticing.
- Documents & files: Documents live in Downloads, several drives, the institutional Drive and email attachments. AI can do nothing with what it cannot see.
- Mail & calendar: Clinical care, faculty, research, learned societies, industry: emails come from everywhere, and the real question is not how important they are but what to do with them.
- Looking ahead: A congress in three weeks, a thesis defence in ten days, a report due: each deadline lives in a different tool and is discovered the day before.
- Department & staff meetings: Rotas, staff meetings, laboratory, unit reports: running the department is invisible, shared work, and prone to errors.
- Faculty & diplomas: Lectures, MCQs, OSCEs, assessment design, exam boards, university diplomas: requests arrive by email with short deadlines, often at the same time as a congress.
- Papers & theses: Manuscripts in several crossed versions, theses to review, contradictory co-author feedback, reference lists never checked.
- Studies & cohorts: A closed cohort to write up, another in data collection, a multicentre study to set up, a congress deadline approaching: each project has its own timeline.
- Congresses & talks: An invitation to speak in six weeks: you start from a blank page although similar topics have been presented ten times already. Then comes the logistics.
- Requests & peer reviews: Congresses, podcasts, interviews, invitations to review or publish: you say yes to everything, dates overlap, and predatory publishers slip into the pile.
- Career: When an application, a bonus or a national sub-section file comes up, years of teaching, supervision and publications are rebuilt in a rush.
- Skills & routines: The temptation is to create one scheduled task per need. Two months later: twenty-five tasks, six notifications a day, costs spiralling and silent failures.
- Quality & self-learning: AI produces quickly, but an error that goes unnoticed repeats itself: a reference that cannot be found, a misspelt name, a date off by a day, a broken link. Human proofreading wears thin, and nobody knows any more what has been checked.

## Optional
- [Agents](https://www.aicampus-lab.workers.dev/en/agents/): researcher, teacher, clinician and organiser agents, their sub-agents and skills
- [Career paths](https://www.aicampus-lab.workers.dev/en/parcours/)