AI Article Synopsis

Article Abstract

Study Objective: The purpose of this study was to assess the workflow interruptions on an anesthesiology clinical director (CD). By assessing the interruptions on the CD, we hypothesize that these frequent interruptions would prohibit the CD from medical direction of residents or certified nurse anesthetists in operating rooms.

Design: Cellular phone data were obtained from Verizon Wireless statements over 10 months, August 2012 through May 2013. These data were from a single cellular phone carried by the anesthesia CD and subsequent overnight anesthesiologist 24 hours a day. The data obtained from the billing records included number of calls, date and time call occurred, number of minutes per call, and number of texts received.

Setting: These calls occurred in the operating room.

Patients: Not applicable.

Intervention: Not applicable.

Measurements: Phone calls, texts, and pager interruptions.

Main Results: A total of 19,924 calls and 19,803 texts were received by the CD. The phone calls minutes for this period were 31,236 minutes. A total of 15,831 (80%) of the calls occurred during this period (0600-1800). A total of 24 489 minutes (78%) of the total minutes occurred during this time.

Conclusion: This study revealed that distracting events are frequent for an anesthesiology CD. The quantity of cellular phone interruptions, both calls and texts, by the anesthesiology CD was considered high. These calls occurred mainly during prime operating room time and utilization. As the CD is an integral part of the perioperative management team, they are expected to answer and return calls and texts promptly. Operating room efficiency and staff satisfaction decline if responses to these calls and texts are delayed. Although the nature of these distractions and interruptions can be viewed as having a positive or negative effect, many of these events are necessary to efficiently run the operating rooms.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.jclinane.2016.07.004DOI Listing

Publication Analysis

Top Keywords

calls texts
16
cellular phone
12
calls occurred
12
calls
10
anesthesiology clinical
8
clinical director
8
phone calls
8
operating room
8
interruptions
6
texts
6

Similar Publications

Background: Chat Generative Pre-trained Transformer (ChatGPT) is a 175-billion-parameter natural language processing model that uses deep learning algorithms trained on vast amounts of data to generate human-like texts such as essays. Consequently, it has introduced new challenges and threats to medical education. We assessed the use of ChatGPT and other AI tools among medical students in Uganda.

View Article and Find Full Text PDF
Article Synopsis
  • Research on parent-adolescent communication through technology has been limited, despite rapid changes in communication tools.
  • This study involved 404 parent-adolescent pairs and identified four distinct patterns of communication based on frequency and preferred methods (in-person, phone calls, texts, video calls).
  • Findings indicate demographic differences in communication styles and show that these communication profiles are linked to varying levels of perceived closeness between parents and adolescents.
View Article and Find Full Text PDF

Background: Within the dermatological community, topical steroid withdrawal syndrome (TSWS) is a medically contested condition with a limited research base. Published studies on TSWS indicate that it is a distinct adverse effect of prolonged use of topical corticosteroids, but there is a paucity of high-quality research evidence. Among the "patient community," awareness has been increasing, with rapid growth in social media posts on TSWS and the introduction of online communities such as the International Topical Steroid Awareness Network.

View Article and Find Full Text PDF

Objectives: Post-discharge follow-up stands as a critical component of post-diagnosis management, and the constraints of healthcare resources impede comprehensive manual follow-up. However, patients are less cooperative with AI follow-up calls or may even hang up once AI voice robots are perceived. To improve the effectiveness of follow-up, alternative measures should be taken when patients perceive AI voice robots.

View Article and Find Full Text PDF

Background: Post-intervention follow-up is challenging in research and practice. In tobacco reports, patients with missing follow-up were considered smokers. Based on patient and staff preferences, an add-on intensified follow-up procedure after intensive tobacco and nicotine cessation interventions was developed.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!