General surgeon involvement in the care of patients designated with an American Association for the Surgery of Trauma-endorsed ICD-10-CM emergency general surgery diagnosis code in Wisconsin

2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Angela Ingraham ◽  
Jessica Schumacher ◽  
Sara Fernandes-Taylor ◽  
Dou-Yan Yang ◽  
Laura Godat ◽  
...  
Author(s):  
Kevin Schuster ◽  
Kimberly Davis ◽  
Matthew Hernandez ◽  
Daniel Holena ◽  
Ali Salim ◽  
...  

2016 ◽  
Vol 81 (3) ◽  
pp. 593-602 ◽  
Author(s):  
Gail T. Tominaga ◽  
Kristan L. Staudenmayer ◽  
Shahid Shafi ◽  
Kevin M. Schuster ◽  
Stephanie A. Savage ◽  
...  

2019 ◽  
Vol 4 (1) ◽  
pp. e000281 ◽  
Author(s):  
Kevin M Schuster ◽  
Daniel N Holena ◽  
Ali Salim ◽  
Stephanie Savage ◽  
Marie Crandall

In April 2017, the American Association for the Surgery of Trauma (AAST) asked the AAST Patient Assessment Committee to undertake a gap analysis for published clinical practice guidelines in emergency general surgery (EGS). Committee members performed literature searches to catalogue published guidelines for common EGS diseases and also to identify gaps in the literature where guidelines could be created. For five of the most common EGS conditions, acute appendicitis, acute cholecystitis, acute diverticulitis, acute pancreatitis, and small bowel obstruction, we found multiple well-referenced guidelines published by leading professional organizations. We have summarized guideline recommendations for each of these disease states stratified by the AAST EGS anatomic severity score based on these published consensus guidelines. These summaries could be used to help inform evidence-based clinical decision-making, but are intended to be flexible and updatable in real time as further research emerges. Comprehensive guidelines were available for all of the diseases queried and identified gaps most commonly represented areas lacking a solid evidence base. These are therefore areas where further research is needed.


2018 ◽  
Vol 84 (4) ◽  
pp. 670-673 ◽  
Author(s):  
Gail T. Tominaga ◽  
Carlos V.R. Brown ◽  
John T. Schulz ◽  
Ronald R. Barbosa ◽  
Suresh Agarwal ◽  
...  

2018 ◽  
Vol 228 ◽  
pp. 263-270 ◽  
Author(s):  
Brittany L. Murphy ◽  
Matthew C. Hernandez ◽  
Nimesh D. Naik ◽  
Amy E. Glasgow ◽  
Victor Y. Kong ◽  
...  

2018 ◽  
Vol 84 (6) ◽  
pp. 939-945 ◽  
Author(s):  
Mohamed D. Ray-Zack ◽  
Matthew C. Hernandez ◽  
Moustafa Younis ◽  
Wyatt B. Hoch ◽  
Dylan S. Soukup ◽  
...  

2019 ◽  
Vol 87 (1) ◽  
pp. 134-139 ◽  
Author(s):  
Georgia Vasileiou ◽  
Mohamed Ray-Zack ◽  
Martin Zielinski ◽  
Sinong Qian ◽  
Daniel Dante Yeh ◽  
...  

2015 ◽  
Vol 81 (8) ◽  
pp. 829-834 ◽  
Author(s):  
Brandon R. Bruns ◽  
Ronald Tesoriero ◽  
Mayur Narayan ◽  
Elena N. Klyushnenkova ◽  
Herbert Chen ◽  
...  

Acute care surgery services continue expanding to provide emergency general surgery (EGS) care. The aim of this study is to define the characteristics of the EGS population in Maryland. Retrospective review of the Health Services Cost Review Commission database from 2009 to 2013 was performed. American Association for the Surgery of Trauma-defined EGS ICD-9 codes were used to define the EGS population. Data collected included patient demographics, admission origin [emergency department (ED) versus non-ED], length of stay (LOS), mortality, and disposition. There were 3,157,646 encounters. In all, 817,942 (26%) were EGS encounters, with 76 per cent admitted via an ED. The median age of ED patients that died was 74 years versus 61 years for those that lived ( P < 0.001). Twenty one per cent of ED admitted patients had a LOS > 7 days. Of 78,065 non-ED admitted patients, the median age of those that died was 68 years versus 59 years for those that lived ( P < 0.001). Twenty eight per cent of non-ED admits had LOS > 7 days. In both ED and non-ED patients, there was a bimodal distribution of death, with most patients dying at LOS ≤ 2 or LOS > 7 days. In this study, EGS diagnoses are present in 26 per cent of inpatient encounters in Maryland. The EGS population is elderly with prolonged LOS and a bimodal distribution of death.


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