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The attendance signatures for the half-empty course

Le firme di presenza al corso che era mezzo vuoto · Healthcare · Beginner

The case

You are the training manager of a health authority. Checking the records of a mandatory safety course (CME-accredited, funded with earmarked funds), you find an anomaly that is then confirmed: in the last three editions, attendance signatures far exceed the people actually in the room: colleagues signing for absentees, with the internal instructor's tolerance and, you suspect, the informal orchestration of a coordinator who thereby got credits for staff on shift. The CME credits were granted, the certification also served the facility's accreditation requirements, and the funds were reported. Estimated scope: about eighty certifications over three years. If it comes out, it is a problem of false credits, funds and requirements; if you fix it quietly, you are complicit. How do you proceed?

Sei il responsabile della formazione di un'azienda sanitaria. Verificando i registri di un corso obbligatorio sulla sicurezza (accreditato ECM, finanziato con fondi vincolati), scopri un'anomalia che poi si conferma: nelle ultime tre edizioni, le firme di presenza superano abbondantemente le persone realmente presenti in aula: colleghi che firmavano per gli assenti, con la tolleranza del docente interno e, sospetti, la regia informale di un coordinatore che così faceva ottenere i crediti a chi era di turno. I crediti ECM sono stati erogati, l'attestazione è servita anche per requisiti di accreditamento della struttura, e i fondi rendicontati. Stimare il perimetro: un'ottantina di attestazioni in tre anni. Se emerge, è un problema di crediti falsi, fondi e requisiti; se lo sistemi in silenzio, sei complice. Come procedi?

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Frequently asked questions

What is the "The attendance signatures for the half-empty course" problem-solving case on Grace?

It is a expert-level Healthcare case based on a real workplace situation. You read the problem, write how you would solve it in free text, and Grace's AI judges whether your solution actually works — or what is still uncovered.

Can I retry if my solution doesn't solve the case?

Yes. The feedback tells you what remains uncovered — without revealing the solution — so you can strengthen your plan and try again. After you solve it, 6 more Healthcare cases are waiting.

Who is this case for?

Anyone who wants to train structured problem solving: managers, professionals and candidates preparing for case interviews in Healthcare. The expert difficulty makes it an accessible starting point.

How is my solution evaluated?

Grace's AI checks four things: whether you address the core problem (not just the symptoms), whether your plan is feasible within the constraints of the case, whether you consider risks and consequences, and whether you avoid the typical mistakes. You get a solved/not-solved verdict, a 0-100 score and coaching feedback.

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