Evidence map›Paper›PMID 35985294›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2022

An ethnographic study on the impact of a novel telemedicine-based support system in the operating room.

Joanna Abraham, Alicia Meng, Arianna Montes de Oca, Mary Politi, Troy Wildes, Stephen Gregory, Bernadette Henrichs, Thomas Kannampallil, Michael S Avidan

Abstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Trial
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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.

Joanna AbrahamDepartment of Anesthesiology, School of Medicine, Washington University in St. Louis, St. Louis, Missouri, USA.ORCID 0000-0003-0235-1632
Alicia MengDepartment of Anesthesiology, School of Medicine, Washington University in St. Louis, St. Louis, Missouri, USA.
Arianna Montes de OcaDepartment of Anesthesiology, School of Medicine, Washington University in St. Louis, St. Louis, Missouri, USA.
Mary PolitiDepartment of Surgery, School of Medicine, Washington University in St. Louis, St. Louis, Missouri, USA.
Troy WildesDepartment of Anesthesiology, School of Medicine, Washington University in St. Louis, St. Louis, Missouri, USA.
Stephen GregoryDepartment of Anesthesiology, School of Medicine, Washington University in St. Louis, St. Louis, Missouri, USA.
Bernadette HenrichsDepartment of Anesthesiology, School of Medicine, Washington University in St. Louis, St. Louis, Missouri, USA.
Thomas KannampallilDepartment of Anesthesiology, School of Medicine, Washington University in St. Louis, St. Louis, Missouri, USA.ORCID 0000-0003-4119-4836
Michael S AvidanDepartment of Anesthesiology, School of Medicine, Washington University in St. Louis, St. Louis, Missouri, USA.

Funding

TECTONICS (Telemedicine Control Tower for the OR: Navigating Information, Care and Safety) trialR01NR017916 · NINR · WASHINGTON UNIVERSITY · PI AVIDAN, MICHAEL SIMON · 2019 to 2023
$3.1M
NINR NIH HHS R01 NR017916
6 · The paper itself

Abstract

objectiveThe Anesthesiology Control Tower (ACT) for operating rooms (ORs) remotely assesses the progress of surgeries and provides real-time perioperative risk alerts, communicating risk mitigation recommendations to bedside clinicians. We aim to identify and map ACT-OR nonroutine events (NREs)-risk-inducing or risk-mitigating workflow deviations-and ascertain ACT's impact on clinical workflow and patient safety. MATERIALS AND

methodsWe used ethnographic methods including shadowing ACT and OR clinicians during 83 surgeries, artifact collection, chart reviews for decision alerts sent to the OR, and 10 clinician interviews. We used hybrid thematic analysis informed by a human-factors systems-oriented approach to assess ACT's role and impact on safety, conducting content analysis to assess NREs.

resultsAcross 83 cases, 469 risk alerts were triggered, and the ACT sent 280 care recommendations to the OR. 135 NREs were observed. Critical factors facilitating ACT's role in supporting patient safety included providing backup support and offering a fresh-eye perspective on OR decisions. Factors impeding ACT included message timing and ACT and OR clinician cognitive lapses. Suggestions for improvement included tailoring ACT message content (structure, timing, presentation) and incorporating predictive analytics for advanced planning. DISCUSSION: ACT served as a safety net with remote surveillance features and as a learning healthcare system with feedback/auditing features. Supporting strategies include adaptive coordination and harnessing clinician/patient support to improve ACT's sustainability. Study insights inform future intraoperative telemedicine design considerations to mitigate safety risks.

conclusionIncorporating similar remote technology enhancement into routine perioperative care could markedly improve safety and quality for millions of surgical patients.

Indexed as

Operating RoomsTelemedicineAnthropology, CulturalHumansPatient SafetyWorkflowdecision-makingeORhuman factorsoperating roomsurgeryteamwork

Identifiers

PMID35985294
PMCPMC10161534

What OpenQuestion holds

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Registered trials

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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.