Evidence map›Paper›PMID 42674561›Full record

ArticleActa anaesthesiologica Scandinavica2026

Clinicians' Perspectives on Pre-Anaesthetic Assessment and Their Attitudes Towards AI-Supported Models: Protocol for an International Survey of Anaesthesia Personnel.

Constance Thyra Giertz Christiansen, Mathilde Nellemann, Moritz Kilian German Denneborg, Sofie Amalie Bosholdt, Janus Christian Jakobsen, Rasmus Tingkær Hesselfeldt, Morten Hylander Møller, Andreas Møgelmose, Mette Krag Vogelius, Markus Harboe Olsen and 1 more

Abstract read
In one paragraph

Article in Acta anaesthesiologica Scandinavica, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Constance Thyra Giertz ChristiansenDepartment of Anaesthesia, Surgery and Trauma Centre-Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark.ORCID https://orcid.org/0009-0005-8484-5151
Mathilde NellemannDepartment of Anaesthesia, Surgery and Trauma Centre-Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark.ORCID https://orcid.org/0009-0001-3773-7917
Moritz Kilian German DenneborgDepartment of Anaesthesia, Surgery and Trauma Centre-Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark.ORCID https://orcid.org/0009-0008-8270-6176
Sofie Amalie BosholdtDepartment of Anaesthesia, Surgery and Trauma Centre-Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark.ORCID https://orcid.org/0009-0002-7270-9505
Janus Christian JakobsenCopenhagen Trial Unit, Centre for Clinical Intervention Research, The Capital Region, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark.
Rasmus Tingkær HesselfeldtDepartment of Anaesthesia, Surgery and Trauma Centre-Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark.
Morten Hylander MøllerDepartment of Intensive Care, Copenhagen University Hospital-Rigshospitalet, Copenhagen, Denmark.ORCID https://orcid.org/0000-0002-6378-9673
Andreas MøgelmoseVisual Analysis and Perception Lab, Aalborg University, Aalborg, Denmark.ORCID https://orcid.org/0000-0003-0328-382X
Mette Krag VogeliusDepartment of Anaesthesia, Surgery and Trauma Centre-Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark.
Markus Harboe OlsenCopenhagen Trial Unit, Centre for Clinical Intervention Research, The Capital Region, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark.ORCID https://orcid.org/0000-0003-0981-0723
Katrine Bredahl BuggeskovDepartment of Anaesthesia, Surgery and Trauma Centre-Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark.ORCID https://orcid.org/0000-0003-3455-1655

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPre-anaesthetic assessment is essential for safe perioperative care but is resource-intensive and applied variably in clinical practice. Increasing surgical demand and workforce constraints have prompted interest in alternative models, including digital approaches and AI-supported clinical decision support tools. However, limited knowledge exists on clinicians' perspectives, values, and perceived information requirements in relation to pre-anaesthetic assessment, including which information they consider essential prior to anaesthesia.

methodsThis international, cross-sectional survey aims to explore clinicians' perspectives on pre-anaesthetic assessment practices and their attitudes towards AI-supported clinical decision support tools. The survey will be conducted in two phases, beginning with Nordic centres before broader international expansion, using two linked instruments: an organisational survey completed once by a local site investigator at each site, and an individual survey completed by anaesthesia personnel recruited via site-based convenience sampling. The primary outcome is clinicians' perspectives on pre-anaesthetic assessment, comprising perceived importance, information not readily available from chart review considered essential prior to anaesthesia, and use in subsequent anaesthetic management; secondary outcomes include airway assessment practices and attitudes towards AI-supported tools, including willingness to adopt them. Exploratory outcomes include organisational workflows and time-use in pre-anaesthetic assessment. Responses will be summarised descriptively across clinician and organisational subgroups.

conclusionThis survey will provide an international overview of clinicians' perspectives on pre-anaesthetic assessment and its role in clinical decision-making. The findings may contribute to the development of more efficient, stratified, and clinically aligned assessment models while recognising that implementation of digital and AI-supported approaches will also depend on organisational, technical, ethical, legal, and patient-related factors.

Indexed as

AnesthesiologistsAnesthesiologyArtificial IntelligenceDecision Support Systems, ClinicalHealth Care SurveysPreoperative CareAttitude of Health PersonnelCross-Sectional StudiesDecision Support TechniquesHumansResearch Design

Identifiers

PMID42674561
PMCPMC13529406

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.