Evidence map›Paper›PMID 40333433›Full record

ReviewAnesthesia and analgesia2025

Emerging Technology and the Future of Perioperative Care: Perspectives and Recommendations From the 2023 Stoelting Conference of the Anesthesia Patient Safety Foundation.

Jonathan M Tan, Maxime Cannesson, Jeffrey M Feldman, Allan F Simpao, Susan P McGrath, Ashish K Khanna, John W Beard, Patricia McGaffigan, Daniel J Cole

Abstract readReview
In one paragraph

Review in Anesthesia and analgesia, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Trial
  2. 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.

Jonathan M TanFrom the Department of Anesthesiology Critical Care Medicine, Children's Hospital Los Angeles, Keck School of Medicine at the University of Southern California, Los Angeles, California.
Maxime CannessonDepartment of Anesthesiology and Perioperative Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California.
Jeffrey M FeldmanDepartment of Anesthesiology and Critical Care Medicine, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania.
Allan F SimpaoDepartment of Anesthesiology and Critical Care Medicine, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania.
Susan P McGrathDepartment of Anesthesiology, Dartmouth Hitchcock Medical Center, Geisel School of Medicine, Dartmouth College, Lebanon, New Hampshire.
Ashish K KhannaDepartment of Anesthesiology, Section on Critical Care Medicine, Wake Forest School of Medicine, Atrium Health Wake Forest Baptist Medical Center, Winston-Salem, North Carolina.
John W BeardGE HealthCare, Patient Care Solutions, Chicago, Illinois.
Patricia McGaffiganInstitute for Healthcare Improvement, Boston, Massachusetts.
Daniel J ColeDepartment of Anesthesiology and Perioperative Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California.

Funding

Personalized Risk Prediction for Prevention and Early Detection of Postoperative Failure to RescueR01EB035028 · NIBIB · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Maxime Cannesson · 2023 to 2026
$2.3M
Improving definitions and innovations for identification and prevention of postoperative opioid induced respiratory depression (OIRD)R13HL174105 · NHLBI · OHIO STATE UNIVERSITY · PI KHANNA, ASHISH K, URMAN, RICHARD D. · 2024 to 2024
$10k
NHLBI NIH HHS R13 HL174105NIBIB NIH HHS R01 EB035028
6 · The paper itself

Abstract

Anesthesiology has a longstanding commitment to patient safety, characterized by innovative research, quality improvement, multidisciplinary collaboration, and engineering-based approaches to care systems. The field has been instrumental in advancing technological developments across the perioperative continuum, contributing to the ongoing mission of harm reduction and risk mitigation. However, modern challenges in health care, including increasingly complex patient conditions, workforce shortages, burnout, and the overwhelming volume of health data generated, have created a more urgent and multifaceted landscape for patient safety efforts. Furthermore, with the expanding perioperative continuum, from prehabilitation to postoperative acute care at home, anesthesiology teams must now adapt to a broader role in patient care. To continue enhancing patient safety, anesthesiology must integrate emerging technologies into clinical workflows, scaling their presence and effectiveness. The 2023 Anesthesia Patient Safety Foundation Stoelting Conference highlighted the necessity for anesthesiology to embrace these innovations while recognizing the challenges they pose. Three key technological domains were emphasized: wearables and the Internet of Medical Things; big data and artificial intelligence; and clinical decision support systems coupled with advanced alarm systems. These technologies offer opportunities to improve patient safety but require careful integration into clinical practice. This report explores the potential of these technologies to reshape anesthesiology and perioperative care while focusing on their application across 4 key phases: the preanesthesia phase at home; the intraoperative phase within health systems; postanesthesia recovery; and recovery at home. By leveraging these technologies, anesthesiology can enhance decision-making, improve outcomes, and continue advancing the mission of patient safety in a rapidly evolving health care landscape.

Indexed as

AnesthesiaAnesthesiologyPatient SafetyPerioperative CareArtificial IntelligenceCongresses as TopicDecision Support Systems, ClinicalForecastingHumansWearable Electronic Devices

Identifiers

PMID40333433
PMCPMC12621646

What OpenQuestion holds

Textmetadata
LicenceTDM
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.