scholarly journals A special acute care surgery model in China: How to improve the efficiency of emergency clinical diagnosis and treatment.

2020 ◽  
Author(s):  
Dequan Xu ◽  
Yue Yin ◽  
Limin Hou ◽  
Haoxin Zhou
Keyword(s):  
Acute Care ◽  
Emergency Surgery ◽  
Medical Model ◽  
Lessons Learned ◽  
First Century ◽  
Acute Care Surgery ◽  
Urban University ◽  
Ed Overcrowding ◽  
Ed Visits ◽  
Care Surgery

Abstract Background There was a fast growth in the number and the formation of ED visits in China during the twenty-first century. As a result, engaging special medical model will be essential to decompressing the ED visits. To do this, it will be important to understand which specific aspects to focus interventions on for the greatest impact. Methods To characterize the emergency surgery patients who were seen and discharged from ED. Retrospective cohort study of hospitalized emergency surgery patients currently under the care from specialists presenting to an urban, university affiliated hospital between 01 January 2018 and 1 January 2019. This study will highlight some of the controversies and challenges and key lessons learned. Results During the study period there were 231,229 ED visits; 4,100 of these patients were admitted for ACS service. Multivariate analysis identified age ≧ 65 (p = 0.023; odds ratio, OR = 2.66), ACS model (p = 0.000, OR = 0.18), ICU stay (p = 0.000, OR = 118.73) as factors associated with in-hospital mortality. There was a increase in LOS between young and elderly postoperative patients when stratifying patients by age(11.67 ± 9.48 vs 13.95 ± 9.11 p < 0.05). we first came up with this concept of Fast Track Acute Care Surgery. Conclusions ED overcrowding is not just an ED problem. ED overcrowding is a systems problem requiring a systematic facility-wide multidisciplinary response. Continuous and high-quality surveillance data across China are needed to estimate the emerging FTACS model which used to deal with ED overcrowding. Trial registration: retrospectively registered

scholarly journals A special acute care surgery model for dealing with dilemmas involved in emergency department in China

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Dequan Xu ◽  
Yue Yin ◽  
Limin Hou ◽  
Haoxin Zhou
Keyword(s):  
Emergency Department ◽  
Acute Care ◽  
Emergency Surgery ◽  
Medical Model ◽  
Lessons Learned ◽  
First Century ◽  
Acute Care Surgery ◽  
Ed Overcrowding ◽  
Ed Visits ◽  
Care Surgery

AbstractThere was a fast growth in the number and the formation of emergency department (ED) visits in China during the twenty-first century. As a result, engaging special medical model will be essential to decompressing the ED visits. To do this, it will be important to understand which specific aspects to focus interventions on for the greatest impact. To characterize the emergency surgery patients who were seen and discharged from ED. Retrospective cohort study of hospitalized emergency surgery patients currently under the care from specialists presenting to an urban, university affiliated hospital between 01 January 2018 and 1 January 2019. This study will highlight some of the controversies and challenges and key lessons learned. During the study period there were 231,229 ED visits; 4100 of these patients were admitted for Acute care surgery (ACS) service. Multivariate analysis identified age ≧ 65 (p = 0.023; odds ratio, OR = 2.66), ACS model (p = 0.000, OR = 0.18), ICU stay (p = 0.000, OR = 118.73) as factors associated with in-hospital mortality. There was a increase in length of stay between young and elderly postoperative patients when stratifying patients by age (11.67 ± 9.48 vs 13.95 ± 9.11 p < 0.05). ED overcrowding is not just an ED problem. ED overcrowding is a systems problem requiring a systematic facility-wide multidisciplinary response. Continuous and high-quality surveillance data across China are needed to estimate the acute care surgery model which used to deal with ED overcrowding.

Evaluation of Frailty Assessment Compliance in Acute Care Surgery: Changing Trends, Lessons Learned

2022 ◽  
Vol 270 ◽  
pp. 236-244
Author(s):  
Meera Kapadia ◽  
Omar Obaid ◽  
Adam Nelson ◽  
Ahmad Hammad ◽  
Daniel James Kitts ◽  
...  
Keyword(s):  
Acute Care ◽  
Lessons Learned ◽  
Acute Care Surgery ◽  
Changing Trends ◽  
Frailty Assessment ◽  
Care Surgery

Certified acute care surgery programs improve outcomes in patients undergoing emergency surgery

2015 ◽  
Vol 79 (1) ◽  
pp. 60-64 ◽  
Author(s):  
Mazhar Khalil ◽  
Viraj Pandit ◽  
Peter Rhee ◽  
Narong Kulvatunyou ◽  
Tahereh Orouji ◽  
...  
Keyword(s):  
Acute Care ◽  
Emergency Surgery ◽  
Acute Care Surgery ◽  
Care Surgery

scholarly journals World society of emergency surgery study group initiative on Timing of Acute Care Surgery classification (TACS)

2013 ◽  
Vol 8 (1) ◽  
Author(s):  
Yoram Kluger ◽  
Offir Ben-Ishay ◽  
Massimo Sartelli ◽  
Luca Ansaloni ◽  
Ashraf E Abbas ◽  
...  
Keyword(s):  
Acute Care ◽  
Emergency Surgery ◽  
World Society ◽  
Acute Care Surgery ◽  
Study Group ◽  
Care Surgery

Beyond emergency surgery: redefining acute care surgery

2015 ◽  
Vol 196 (1) ◽  
pp. 166-171 ◽  
Author(s):  
Alicia R. Privette ◽  
Abigail E. Evans ◽  
Jarrett C. Moyer ◽  
Mary F. Nelson ◽  
M. Margaret Knudson ◽  
...  
Keyword(s):  
Acute Care ◽  
Emergency Surgery ◽  
Acute Care Surgery ◽  
Care Surgery

scholarly journals Knowledge, Attitude and Practice of ARtificial Intelligence in Emergency and Trauma Surgery, the ARIES Project: An international web-based survey

2021 ◽  
Author(s):  
Belinda De Simone ◽  
Fikri M Abu-Zidan ◽  
Andrew A Gumbs ◽  
Elie Chouillard ◽  
Salomone Di Saverio ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Acute Care ◽  
Emergency Surgery ◽  
Elective Surgery ◽  
Trauma Surgery ◽  
Acute Care Surgery ◽  
Emergency Setting ◽  
Online Questionnaire ◽  
Significant Difference ◽  
Care Surgery

Abstract Aim: We aimed to evaluate the knowledge, attitude and practices in the application of artificial intelligence in the emergency setting among international acute care and emergency surgeons. Methods: An online questionnaire composed of 30 multiple choice and open-ended questions was sent to the members of the World Society of Emergency Surgery between 29th May and 28th August 2021. The questionnaire was developed by a panel of 11 international experts and approved by the WSES steering committee. Results: 200 participants answered the survey, 32 were females (16%). 172 (86%) surgeons thought that artificial intelligence will improve acute care surgery. Fifty surgeons (25%) were trained on robotic surgery and can perform it. Only 19 (9.5%) were currently performing it. 126 (63%) surgeons do not have a robotic system in their institution, and for those who have it, it was mainly used for elective surgery. Only 100 surgeons (50%) were able to define different artificial intelligence terminology. Participants thought that artificial intelligence is useful to support training and education (61.5%), perioperative decision making (59.5%), and surgical vision (53%) in emergency surgery. There was no statistically significant difference between males and females in ability, interest in training or expectations of artificial intelligence (p values 0.91, 0.82, and 0.28 respectively, Mann-Whitney U test). Ability was significantly correlated with interest and expectations (p< 0.0001 Pearson rank correlation, rho 0.42 and 0.47 respectively) but not with experience (p = 0.9, rho -0.01) Conclusions: The implementation of artificial intelligence in the emergency and trauma setting is still in an early phase. The support of emergency and trauma surgeons is essential for the progress of AI in their setting which can be augmented by proper research and training programs in this area.

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