Blogs on recruiting, leadership, knowledge management, etc.

Added value from experience, knowledge, statistics and reflection

Blogs on the selected topics are published at irregular intervals.

Infografik zum Physician Assistant: Bachelor vs. Master Schweiz

Physician Assistant: Bachelor, Master – und wie die Schweiz damit umgeht

Der Beruf des Physician Assistant bzw. Physician Associate professionalisiert sich weltweit. Parallel zur Debatte um den Titel – „Assistant“ oder „Associate“ – differenzieren sich auch die Ausbildungsgänge. Immer häufiger tauchen Bachelor‑ und Masterabschlüsse auf, dazu in der Schweiz die bekannten Weiterbildungs‑Master (MAS). Was bedeuten diese Stufen inhaltlich und wie ist der Stand in der Schweiz?
Nachdenkliche Physician Assistant mit Fachbüchern am Schreibtisch

Vom Assistant zum Associate: Wie sich das Berufsbild der Physician Assistants weltweit über den Namen neu erfindet

Ein Berufsname klingt zunächst nach einer Nebensache. Im Gesundheitswesen ist er das nicht. Wer sich „Assistant“ nennt, wird anders wahrgenommen als jemand, der als „Associate“ auftritt. Genau deshalb ist die internationale Debatte um den Titel der Physician Assistants mehr als eine sprachliche Korrektur. Sie ist Ausdruck eines Ringens um Rollenverständnis, Professionalität, Zuständigkeiten und Vertrauen.
Goldene Figur mit Schraubenzieher und Schraubenschlüssel.

Die kognitive Schere: Wenn KI unser Denken überholt

A researcher has measured what many people suspect: AI systems now process information over a thousand times more efficiently than humans - and the gap is growing rapidly. Worse still, we are helping with this.
Golden figures in a circle symbolize teamwork and cooperation.

Health IT 2026: Why AI is now becoming the strategic driver of healthcare

Die Digitalisierung des Gesundheitswesens war lange vor allem regulatorisch geprägt. Doch 2026 verändert KI die Dynamik grundlegend: Sie entwickelt sich vom Experimentierfeld zum strategischen Treiber des Systems. Der aktuelle „Trendreport Gesundheits-IT 2026“ des bvitg zeigt: Das Gesundheitswesen steht an einem Wendepunkt. Während Reformen die Strukturen verändern, transformiert KI Prozesse, Rollenbilder und Versorgungsmodelle mit hoher Geschwindigkeit. Die entscheidende Frage ist deshalb
Junge Person mit Kopfschmerzen, symbolisiert Überforderung und Stress.

When you are suddenly no longer human, but just a case - Part 2

The discussion of the findings never took place. Not until today.
A nurse in a blue uniform is working with a laptop and a notebook.

Finding nurses without commission: How embedded recruiting works in practice

Embedded Recruiting explained: How integrated recruiters work as part of your team, make costs more predictable and increase the quality of placements.
Junge Person mit Kopfschmerzen, symbolisiert Überforderung und Stress.

When you are suddenly no longer human, but just a case

An experience that shows what medicine can feel like today when there is a lack of time, a lack of staff, when everything has to happen quickly and something very important is lost in the process.
Person selects a candidate to recruit and develop talent.

Embedded recruiting: Why it changes your recruiting structure

Embedded Recruiting explained: How integrated recruiters work as part of your team, make costs more predictable and increase the quality of placements.
Person selects a candidate to recruit and develop talent.

What is embedded recruiting - and for whom is it worthwhile?

Embedded Recruiting explained: How integrated recruiters work as part of your team, make costs more predictable and increase the quality of placements.
Humans and robots talking about data protection and AI, surrounded by users with laptops and tablets.

AI yes, data leak no: 7 rules on how employees can use AI in their day-to-day work - and for what not

AI has long since arrived in teams - whether you like it or not. Employees use chatbots, translators and text generators to write, research or formulate emails faster. The question is no longer whether AI should be used, but how - without compromising data protection and confidentiality.[2][3][4] Instead of banning shadow AI (which rarely works in practice), you need clear
Humans and robots talking about data protection and AI, surrounded by users with laptops and tablets.

If a service is free, you often pay with your data

Those who work with free AI chats do not pay with money, but with information. The business model of most providers is based on two pillars: Data and training. Every input - from harmless vacation requests to confidential HR dossiers - is stored, evaluated and can be used to train the models. This makes the service smarter, the provider richer in data and the user remains
Illustration of medical professionals in a team

When medicine makes mistakes: What current medical scandals in Austria reveal about our healthcare system

Nobody likes going to hospital. But when we do, we trust doctors to make the right decisions. This trust is one of the most important foundations of our healthcare system.

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