Intracranial pressure predictions at the bedside: an international expert survey to assess the needs, clinical impact, and future prospects

Artificial intelligence applications will find their way to the patient’s bedside over the upcoming years. However, it is still unclear whether and how clinicians will adopt this new technology, and what an appropriate response to an early warning system could or should be. The clinical interpretation of neuromonitoring data for the detection and prevention of secondary brain injury can be challenging, even in specialized hands. Over the past years, artificial intelligence models have been developed and validated that can predict future episodes of elevated intracranial pressure (ICP) in traumatic brain injury (TBI) patients in the intensive care unit (ICU), with a 30-minute forewarning. These models have the potential to be implemented at the bedside. The assessment of the potential clinical impact that ICP predictions may have on the therapeutic management of patients is an important aspect for the future design of such alerts, their potential benefits, but also their risks. To better understand the clinical staff’s potential response to an artificial intelligence decision support tool for ICP prediction of TBI patients, we have designed this survey that will address the general attitude towards this technology, and the specific response to such (hypothetical) alert. It should take no more than 15 minutes to complete the survey. The survey completion is completely anonymous and voluntary.

ICP-AId has received approval from the Research Ethics Committee UZ/KU Leuven (reference: MP022609), Leuven, Belgium.

This survey has been endorsed by ESICM.

The primary objective of this survey is to observe variations in practice in the management of new onset atrial fibrillation in critically ill patients internationally. This survey focuses on prevention of the arrhythmia, management in terms of rate/rhythm control, anticoagulation, and long-term follow up.

The secondary objective of the survey is to gauge international interest in an atrial fibrillation platform trial and inform potential treatment arms of prevention,

This survey is directed at attending intensivists and critical care fellows. treatment, anticoagulation and long-term follow-up.

Survey on the current state of ICU patient discharge practices

The aim of this survey is to gain insight into the current situation of ICU patient care transitions to the next lower level of care. The focus will be on transfer practices from the ICU, stakeholders involved, transfer criteria, established processes and tools used, metrics related to ICU transfer processes, and current barriers to timely and safe discharge to the next lower level of care.

We anticipate that the resulting data could serve as a basis for the development of more specific guidance for the standardization and optimization of care transition processes from the intensive care unit. Further, results could stimulate future research e.g. on collaboration and communication around care transitions, discharge planning tools, process and performance benchmarking and patient safety aspects associated with care transitions

Steering Committee:

Prof. Jan Bakker, Erasmus MC University Medical Center, Dept. of IC Adults, Rotterdam (NL); Prof. Hendrik Bracht, University Hospital Ulm, Dept. of Anesthesiology and Intensive Care Medicine, Ulm (DE); Prof. Maria Wittmann, University Hospital Bonn, Dept. of Anesthesiology and Intensive Care Medicine, Bonn (DE)