Evidence map›Paper›PMID 23239307›Full record

ArticleSurgical endoscopy2013

Toward increased autonomy in the surgical OR: needs, requests, and expectations.

Michael Kranzfelder, Christoph Staub, Adam Fiolka, Armin Schneider, Sonja Gillen, Dirk Wilhelm, Helmut Friess, Alois Knoll, Hubertus Feussner

Abstract read
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In one paragraph

Article in Surgical endoscopy, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. TRandAugment: temporal random augmentation strategy for surgical activity recognition from videos.International journal of computer assisted radiology and surgery · 2023
    Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. The intelligent OR: design and validation of a context-aware surgical working environment.International journal of computer assisted radiology and surgery · 2018
    Article
  10. Article
  11. Surgical process modeling.Innovative surgical sciences · 2017
    Review
  12. Toward cognitive pipelines of medical assistance algorithms.International journal of computer assisted radiology and surgery · 2016
    Review
  13. Bridging the gap between formal and experience-based knowledge for context-aware laparoscopy.International journal of computer assisted radiology and surgery · 2016
    Article
  14. LapOntoSPM: an ontology for laparoscopic surgeries and its application to surgical phase recognition.International journal of computer assisted radiology and surgery · 2015
    Article
  15. Computer-assisted abdominal surgery: new technologies.Langenbeck's archives of surgery · 2015
    Review
  16. Reliability of sensor-based real-time workflow recognition in laparoscopic cholecystectomy.International journal of computer assisted radiology and surgery · 2014
    Article
  17. [Further technical and digital development in minimally invasive and conventional surgery].Der Chirurg; Zeitschrift fur alle Gebiete der operativen Medizen · 2014
    Review
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

9 authors.

Michael KranzfelderDepartment of Surgery, Klinikum Rechts der Isar, Technische Universität München, 81675 München, Germany. michael.kranzfelder@tum.de
Christoph Staub
Adam Fiolka
Armin Schneider
Sonja Gillen
Dirk Wilhelm
Helmut Friess
Alois Knoll
Hubertus Feussner

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe current trend in surgery toward further trauma reduction inevitably leads to increased technological complexity. It must be assumed that this situation will not stay under the sole control of surgeons; mechanical systems will assist them. Certain segments of the work flow will likely have to be taken over by a machine in an automatized or autonomous mode.

methodsIn addition to the analysis of our own surgical practice, a literature search of the Medline database was performed to identify important aspects, methods, and technologies for increased operating room (OR) autonomy.

resultsRobotic surgical systems can help to increase OR autonomy by camera control, application of intelligent instruments, and even accomplishment of automated surgical procedures. However, the important step from simple task execution to autonomous decision making is difficult to realize. Another important aspect is the adaption of the general technical OR environment. This includes adaptive OR setting and context-adaptive interfaces, automated tool arrangement, and optimal visualization. Finally, integration of peri- and intraoperative data consisting of electronic patient record, OR documentation and logistics, medical imaging, and patient surveillance data could increase autonomy.

conclusionsTo gain autonomy in the OR, a variety of assistance systems and methodologies need to be incorporated that endorse the surgeon autonomously as a first step toward the vision of cognitive surgery. Thus, we require establishment of model-based surgery and integration of procedural tasks. Structured knowledge is therefore indispensable.

Indexed as

InventionsOperating RoomsProfessional AutonomyRoboticsAutomationClinical CompetenceCost-Benefit AnalysisDiagnostic ImagingElectronic Health RecordsEquipment DesignHumansLaparoscopyMan-Machine SystemsMonitoring, PhysiologicPatient SafetyPhysicians

Identifiers

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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.