scholarly journals Patient Safety First in Plastic Surgery

2021 ◽  
Vol 148 (5S) ◽  
pp. 36S-38S
Author(s):  
Rod J. Rohrich
2013 ◽  
Vol 46 (02) ◽  
pp. 445-452 ◽  
Author(s):  
Soumya Sankar Nath ◽  
Debashis Roy ◽  
Farrukh Ansari ◽  
Sundeep T. Pawar

ABSTRACTAnaesthesia related complications in plastic surgeries are fortunately rare, but potentially catastrophic. Maintaining patient safety in the operating room is a major concern of anaesthesiologists, surgeons, hospitals and surgical facilities. Circumventing preventable complications is essential and pressure to avoid these complications in cosmetic surgery is increasing. Key aspects of patient safety in the operating room are outlined, including patient positioning, airway management and issues related to some specific conditions, essential for minimizing post-operative morbidity. Risks associated with extremes of age in the plastic surgery population, may be minimised by a better understanding of the physiologic changes as well as the pre-operative and post-operative considerations in caring for this special group of patients. An understanding of the anaesthesiologist′s concerns during paediatric plastic surgical procedures can facilitate the coordination of efforts between the multiple services involved in the care of these children. Finally, the reader will have a better understanding of the perioperative care of unique populations including the morbidly obese and the elderly. Attention to detail in these aspects of patient safety can help avoid unnecessary complication and significantly improve the patients′ experience and surgical outcome.


2008 ◽  
Vol 3 (1) ◽  
pp. 4
Author(s):  
Bob Kepshire
Keyword(s):  

AORN Journal ◽  
2003 ◽  
Vol 77 (4) ◽  
pp. 743-747 ◽  
Author(s):  
Suzanne C. Beyea ◽  
Rodney W. Hicks
Keyword(s):  

2010 ◽  
Vol 110 (4) ◽  
pp. 1249-1250
Author(s):  
Jayne Coleman

2010 ◽  
Vol 112 (6) ◽  
pp. 1544-1545
Author(s):  
Joseph Adam Cartwright ◽  
Michael J. Avram

2004 ◽  
Vol 12 (3) ◽  
pp. 129-129
Author(s):  
John R Taylor

Diagnosis ◽  
2020 ◽  
Vol 7 (1) ◽  
pp. 3-9 ◽  
Author(s):  
Paul A. Bergl ◽  
Thilan P. Wijesekera ◽  
Najlla Nassery ◽  
Karen S. Cosby

AbstractSince the 2015 publication of the National Academy of Medicine’s (NAM) Improving Diagnosis in Health Care (Improving Diagnosis in Health Care. In: Balogh EP, Miller BT, Ball JR, editors. Improving Diagnosis in Health Care. Washington (DC): National Academies Press, 2015.), literature in diagnostic safety has grown rapidly. This update was presented at the annual international meeting of the Society to Improve Diagnosis in Medicine (SIDM). We focused our literature search on articles published between 2016 and 2018 using keywords in Pubmed and the Agency for Healthcare Research and Quality (AHRQ)’s Patient Safety Network’s running bibliography of diagnostic error literature (Diagnostic Errors Patient Safety Network: Agency for Healthcare Research and Quality; Available from: https://psnet.ahrq.gov/search?topic=Diagnostic-Errors&f_topicIDs=407). Three key topics emerged from our review of recent abstracts in diagnostic safety. First, definitions of diagnostic error and related concepts are evolving since the NAM’s report. Second, medical educators are grappling with new approaches to teaching clinical reasoning and diagnosis. Finally, the potential of artificial intelligence (AI) to advance diagnostic excellence is coming to fruition. Here we present contemporary debates around these three topics in a pro/con format.


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