Less incidents in heart surgeries, less time-to-intervention in case of a stroke, lower costs due to less claim denials for hospitals, less deaths due to an earlier detection of breast cancer—these are real-world examples of AI being the catalyst of the next quantum leap in healthcare. Researchers, entrepreneurs, and tech incumbents are active within all subfields of healthcare and proofing the value of data-driven and AI-based initiatives. This paper aims at giving an overview of the broad variety of such engagements within six major fields in healthcare. Each of the six sections itself provides an overview of the most important AI applications within that field and a zoom-in into exemplary research work and already implemented industry solutions. A broad adoption of AI applications within healthcare institutions has not yet occurred, due to some current limitations in data quality and governance, industry standards, and ethical issues.

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Im betriebswirtschaftlichen Kontext erfreut sich die Hazard-Raten-Analyse zunehmender Beliebtheit bei der Untersuchung zeitabhängiger Zusammenhänge. Von Interesse sind dabei insbesondere Zustandswechsel bzw. Ereignisse (z. B. Vertragskündigungen), deren Eintrittszeitpunkt bzw.-wahrscheinlichkeit (zeitvariant) modelliert werden sollen. Neben der stetig wachsenden Datenverfügbarkeit auf Individualebene sprechen zahlreiche methodische Vorteile für die betriebswirtschaftliche Anwendung des Verfahrens.