Evidence map›Paper›PMID 38844750›Full record

Observational studyInternational journal of computer assisted radiology and surgery2024

Requirement analysis for an AI-based AR assistance system for surgical tools in the operating room: stakeholder requirements and technical perspectives.

E Cramer, A B Kucharski, J Kreimeier, S Andreß, S Li, C Walk, F Merkl, J Högl, P Wucherer, P Stefan and 3 more

Abstract readObservational Study
In one paragraph

Observational study in International journal of computer assisted radiology and surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

13 authors.

E CramerResearch department - Health Economy and Quality of Life, Institute for Work and Technology of the Westfälische Hochschule Gelsenkirchen Bocholt Recklinghausen, University of Applied Sciences, Munscheidstraße 14, 45886, Gelsenkirchen, Germany. cramer@iat.eu.ORCID http://orcid.org/0000-0002-0714-319X
A B KucharskiResearch department - Health Economy and Quality of Life, Institute for Work and Technology of the Westfälische Hochschule Gelsenkirchen Bocholt Recklinghausen, University of Applied Sciences, Munscheidstraße 14, 45886, Gelsenkirchen, Germany.ORCID http://orcid.org/0009-0002-8062-3904
J KreimeierSchool of Medicine and Health; School of Computation, Information, and Technology; Klinikum Rechts der Isar & Orthopedics and Sports Orthopedics, Technical University of Munich, Trogerstr. 10, 81675, Munich, Germany.ORCID http://orcid.org/0000-0001-6861-711X
S AndreßMusculoskeletal University Center Munich at the LMU Clinic, Campus Großhadern, Marchionistraße 15, 81377, Munich, Germany.
S LiHEX Lab, Department for Artificial Intelligence in Biomedical Engineering, Friedrich Alexander University, Henkestraße 91, 9105, Erlangen, Germany.
C WalkMusculoskeletal University Center Munich at the LMU Clinic, Campus Großhadern, Marchionistraße 15, 81377, Munich, Germany.
F MerklMusculoskeletal University Center Munich at the LMU Clinic, Campus Großhadern, Marchionistraße 15, 81377, Munich, Germany.ORCID http://orcid.org/0009-0000-0898-5957
J HöglMusculoskeletal University Center Munich at the LMU Clinic, Campus Großhadern, Marchionistraße 15, 81377, Munich, Germany.
P WuchererMedability GmbH, Geretsrieder Straße 10a, 81379, Munich, Germany.ORCID http://orcid.org/0009-0002-5498-8950
P StefanMedability GmbH, Geretsrieder Straße 10a, 81379, Munich, Germany.ORCID http://orcid.org/0000-0003-4386-6456
R von Eisenhart-RotheSchool of Medicine and Health; School of Computation, Information, and Technology; Klinikum Rechts der Isar & Orthopedics and Sports Orthopedics, Technical University of Munich, Trogerstr. 10, 81675, Munich, Germany.
P EnsteResearch department - Health Economy and Quality of Life, Institute for Work and Technology of the Westfälische Hochschule Gelsenkirchen Bocholt Recklinghausen, University of Applied Sciences, Munscheidstraße 14, 45886, Gelsenkirchen, Germany.
D RothSchool of Medicine and Health; School of Computation, Information, and Technology; Klinikum Rechts der Isar & Orthopedics and Sports Orthopedics, Technical University of Munich, Trogerstr. 10, 81675, Munich, Germany.ORCID http://orcid.org/0000-0001-5175-1566

Funding

Bundesministerium für Bildung und Forschung 16SV8976
6 · The paper itself

Abstract

purposeWe aim to investigate the integration of augmented reality (AR) within the context of increasingly complex surgical procedures and instrument handling toward the transition to smart operating rooms (OR). In contrast to cumbersome paper-based surgical instrument manuals still used in the OR, we wish to provide surgical staff with an AR head-mounted display that provides in-situ visualization and guidance throughout the assembly process of surgical instruments. Our requirement analysis supports the development and provides guidelines for its transfer into surgical practice.

methodsA three-phase user-centered design approach was applied with online interviews, an observational study, and a workshop with two focus groups with scrub nurses, circulating nurses, surgeons, manufacturers, clinic IT staff, and members of the sterilization department. The requirement analysis was based on key criteria for usability. The data were analyzed via structured content analysis.

resultsWe identified twelve main problems with the current use of paper manuals. Major issues included sterile users' inability to directly handle non-sterile manuals, missing details, and excessive text information, potentially delaying procedure performance. Major requirements for AR-driven guidance fall into the categories of design, practicability, control, and integration into the current workflow. Additionally, further recommendations for technical development could be obtained.

conclusionIn conclusion, our insights have outlined a comprehensive spectrum of requirements that are essential for the successful implementation of an AI- and AR-driven guidance for assembling surgical instruments. The consistently appreciative evaluation by stakeholders underscores the profound potential of AR and AI technology as valuable assistance and guidance.

Indexed as

Augmented RealityOperating RoomsSurgical InstrumentsArtificial IntelligenceFocus GroupsHumansSurgery, Computer-AssistedUser-Centered DesignAI surgeryAugmented RealityBiomedical engineeringIntelligent surgerySmart operating roomSurgical instruments

Identifiers

PMID38844750
PMCPMC11541324

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.