[Big data and artificial intelligence]

Intelligent Process Automation and Business Continuity: Areas for Future Research

Robotic process automation and intelligent process automation have gained a foothold in the automation of business processes, using blocks of software (bots). These agents interact with systems through interfaces, replacing human intervention with the aim of improving efficiency, reducing costs and mitigating risks by ensuring and enforcing compliance measures. However, there are aspects of the incorporation of this new reality within the business continuity lifecycle that are still unclear, and which need to be evaluated. This study provides a multivocal literature review of robotic process automation and intelligent process automation correlated with business continuity, to identify the level of awareness of these two emerging forms of automation within the business continuity management lifecycle. Based on the reviewed literature, the study develops a discussion of the main research areas for investigation, identifying what is attracting the attention of practitioners and researchers and which areas they highlight as promising for future research. Numerous sources from relevant backgrounds reveal an interest in these interrelated topics but there as yet is little or no information available on the direct connection between them.

[Application of artificial intelligence in thoracic surgery]

BACKGROUND

The application of artificial intelligence is a relatively new option to enable improved patient treatment in modern medicine and is therefore currently the focus of many research projects. In the clinical practice the application of artificial intelligence so far seems to be confined to the analysis of medical imaging.

OBJECTIVE

In which form is the use of artificial intelligence possible in routine daily work in thoracic surgery and is already being practiced?

MATERIAL AND METHODS

A search of the currently available literature was performed.

RESULTS

Under current conditions artificial intelligence can best be used as part of diagnostics and treatment planning; however, in order to enable a comprehensive use standardization and evaluation of the centralized data collection are necessary.

CONCLUSION

At the present time promising study results are available but the implementation into the surgical routine has so far been very difficult.