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Background and objective: The Working Group on Ethics in Anesthesia and Intensive Care Medicine of the Austrian Society for Anesthesiology Resuscitation and Intensive Care Medicine (ÖGARI) already developed documentation tools for the adaption of therapeutic goals 10 years ago. Since then the practical implementation of Comfort Terminal Care in the daily routine in particular has raised numerous questions, which are discussed in this follow-up paper and answered in an evidence-based manner whenever possible. Results: The practical implementation of pain therapy and reduction of anxiety, stress and respiratory distress that are indicated in the context of Comfort Terminal Care are described in more detail. The measures that are not (or no longer) indicated, such as oxygen administration and ventilation as well as the administration of fluids and nutrition, are also commented on. Furthermore, recommendations are given regarding monitoring, (laboratory) findings and drug treatment and the importance of nursing actions in the context of Comfort Terminal Care is mentioned. Finally, the support for the next of kin and the procedure in the time after death are presented. Discussion: A change in treatment goals with a timely switch to Comfort Terminal Care enables good and humane care for seriously ill patients and their relatives at the end of life and the appreciation of their previous life with the possibility of positive experiences until the end. [ABSTRACT FROM AUTHOR]

Big data and artificial intelligence are buzzwords that everyone is talking about and yet always provide a touch of science fiction to the scenery. What is the status of these topics in anesthesia? Are the first robots already rolling through the corridors while doctors are getting bored as all the work has been done? Spoiler alert! We are still far away from achieving this. Initially, paper charts and analogue notes stand in the way of comprehensive digitization. Source systems need to be merged and data standardized, harmonized and validated. Therefore, the friendly android that is rolling towards us, waving and holding a freshly brewed cup of coffee in our thoughts will have to wait; however, a glimpse of the future is already evident in some clinics and the first promising developments are already showing what could be the standard tomorrow. Learning algorithms calculate the length of stay individually for each patient in the intensive care unit (ICU), reducing negative consequences such as readmission and mortality. The field of ultrasound technology for regional anesthesia and closed-loop anesthesia systems is also demonstrating the benefits of artificial intelligence (AI)-assisted technologies in practice. The efforts are diverse and ambitious but they repeatedly collide with privacy challenges and significant capital expenditure, which weigh heavily on an already financially strained healthcare system; however, anyone who listens carefully to the medical staff knows that robots are not what they would expect and the buzzwords big data and artificial intelligence might be less science fiction than initially assumed. [ABSTRACT FROM AUTHOR]