We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us

Download Mobile App




Surgeons Under Stress Make More Errors

By HospiMedica International staff writers
Posted on 03 Jan 2019
A new study reveals that during intervals of short-term stress, surgeons are much more prone to make mistakes in the operating room (OR).

Researchers at Stanford University School of Medicine (Stanford; CA, USA), the University of Copenhagen (KU; Denmark), and other institutions conducted a study to investigate the association between acute surgeon intraoperative mental stress and technical surgical performance. More...
To do so, continuous electrocardiogram (ECG) data from a single attending surgeon were captured during surgical procedures to obtain heart rate variability (HRV) measures, which were used as a proxy for acute mental stress.

HRV recordings and procedure video recording were time‐stamped, and the surgical procedures were fragmented and subjected to data analysis, with an event defined as any deviation that caused injury to the patient or posed a risk of harm. The results revealed that the rates of error events were 47–66% higher in the higher stress quantiles than in the lower stress quantiles for all measured interval lengths, using the proxy measures for acute mental stress. The study was published on September 27, 2018, in BJS Open.

“Many machines have alarms that go off periodically, equipment malfunctions, side conversations take place, people walk in and out of the OR; I could go on,” said lead author Peter Grantcharov, BSc, of Stanford University. “My hope is that other researchers will build upon our work to make further strides in learning about the causes of stress on surgical personnel. If our study helps make the OR a safer place for patients, I'd be thrilled.”

For the study, the surgeon wore a Hexoskin (Montreal, Canada) Smart Shirt under his scrubs. The Smart Shirt is a textile-based, washable, silver coated nylon garment embedded with digital signal processing (DSP) cardiac, abdominal, and respiratory sensors, with a 3-axis accelerometer that is used to track activity and acceleration. The cardiac sensors allow for electrocardiogram (ECG) one channel data at 256 Hz, heart rate detections at rates ranging from 30 to 220 BPM, respiratory rate intervals at 4 ms resolution, and HRV analysis.

Related Links:
Stanford University School of Medicine
University of Copenhagen
Hexoskin


Gold Member
Neonatal Heel Incision Device
Tenderfoot
Radiology Monitor
MDNC-6121 Barco Nio Color 5.8MP
Glucose Meter
StatStrip®
Monitor/Defibrillator
Zenix
Read the full article by registering today, it's FREE! It's Free!
Register now for FREE to HospiMedica.com and get access to news and events that shape the world of Hospital Medicine.
  • Free digital version edition of HospiMedica International sent by email on regular basis
  • Free print version of HospiMedica International magazine (available only outside USA and Canada).
  • Free and unlimited access to back issues of HospiMedica International in digital format
  • Free HospiMedica International Newsletter sent every week containing the latest news
  • Free breaking news sent via email
  • Free access to Events Calendar
  • Free access to LinkXpress new product services
  • REGISTRATION IS FREE AND EASY!
Click here to Register








Channels

Artificial Intelligence

view channel
Image: Artificial intelligence (AI) standalone performance and reader performance with versus without AI assistance. (A) Receiver operating characteristics (ROC) curve for AI standalone performance in the US dataset (AUC 0.899, 95% CI 0.858 to 0.939). (B) ROC curve for AI standalone performance in the Korean dataset (AUC 0.963, 95% CI 0.946 to 0.975). (C) Pooled reader ROC without (AUC 0.718) versus with (AUC 0.852) AI assistance in the Korean dataset; P<0.001. AUC, area under the receiver operating characteristics curve. (Leonard Sunwoo et al., Journal of NeuroInterventional Surgery (2026). DOI: 10.1136/jnis-2026-025339)

AI Improves Non-Contrast CT Interpretation for Time-Sensitive Stroke Assessment

Acute ischemic stroke occurs when a blood vessel in the brain becomes blocked, requiring rapid diagnosis to enable timely reperfusion therapy. Emergency departments often use computed tomography angiography... Read more

Critical Care

view channel
Image: How the machine learning helps to predict charge mobility under stretched states (Photo courtesy of Chen, X., et al.)

New Approach Helps Identify Materials for More Reliable Wearable Electronics

Wearable health monitors and electronic skin must maintain stable performance while being stretched and bent. Molecular single crystals are promising for such stretchable electronics, yet the microscale... Read more

Business

view channel
Image: LigaSure RAS Maryland, designed for the Valleylab FT10 platform on Hugo RAS, seals and cuts vessels, tissue, and lymphatics up to 7 mm in diameter (Photo courtesy of Medtronic)

Medtronic Receives FDA Clearance for Vessel-Sealing Instrument for Robotic Surgery

As robotic-assisted surgery expands across U.S. hospitals, teams increasingly seek energy instruments with the familiarity and performance of tools used in open and laparoscopic procedures.... Read more
Copyright © 2000-2026 Globetech Media. All rights reserved.