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Emergency Management of the Coding Patient: Cases - Algorithms - Evidence

di Senecal  • 2005  • dettagli prodotto


Emergency Management of the Coding Patient: Cases, Algorithms, Evidence offers students, interns, and residents an understanding of the protocols and procedures surrounding hospital codes. Concise, practical, and clinically-oriented, this book covers the basics of ACLS, as well as non-cardiac codes, and, more importantly, reviews the leadership skills, knowledge, and teamwork that are critical in successfully managing these difficult situations.This innovative resource encompasses all the clinical skills required to run a hospital code, including suggestions for how to organize a code team; review of essential equipment; case-based training in cardiac rhythm strip interpretation; algorithmic approach to running codes; and administration of resuscitative medications. The accompanying pocket card summarizes code algorithms with necessary medications (including dosages).Based around clinical scenarios, Emergency Management of the Coding Patient reviews the basic knowledge needed to manage codes effectively and efficiently: pathophysiology, treatment, medications, and skills. In addition to the case scenarios that begin each chapter, the appendix of practice cases highlights key concepts and helps build confidence to manage a real coding patient. The book includes a pocket-sized laminated card summarizing the algorithms presented in the book, along with the medications (with dosages) needed for each code situation.Special Features:- Describes the protocols and procedures surrounding hospital codes - Interactive clinical vignettes of common coding scenarios for practical review - Covers the basics of how to approach codes: pathophysiology, treatment, medications, and clinical skills - Pocket-sized laminated card contains the critical algorithms for protocols and treatment of ACLS and non-cardiac codes - Medication appendix for easy reference


ISBN: 1405104554

Titolo: Emergency Management of the Coding Patient: Cases - Algorithms - Evidence


Editore: Lippincott Williams

Volume: Unico

Edizione: 2005

Lingua: Inglese

Finitura: Copertina flessibile

Misure: 21x28 cm

Pagine: 184

Peso: 0.7 kg