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Impacts of Clinical Decision Support Technology on Nursing and Medical Practice in U.S. Critical Car

By Weber, Scott

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Book Id: WPLBN0003761370
Format Type: PDF eBook :
File Size:
Reproduction Date: 2015

Title: Impacts of Clinical Decision Support Technology on Nursing and Medical Practice in U.S. Critical Car  
Author: Weber, Scott
Volume:
Language: English
Subject: Programming, Medical, Nursing
Collections: Technical eBooks and Manuals Collection, Technical Books Center Collection
Historic
Publication Date:
Publisher: University of Pittsburgh School of Nursing

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Weber, S. (n.d.). Impacts of Clinical Decision Support Technology on Nursing and Medical Practice in U.S. Critical Car. Retrieved from http://kindle.worldlibrary.net/


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Description: Intensive care units (ICUs) are settings in which ethical and other practice dilemmas often arise. This conflicted work environment has the potential to powerfully impact staff. In fact, 45% of ICU nurses reported having left or considered leaving a position because of distress over professional decision-making and ethical practice (Hamric & Blackhall, 2007). Healthcare professionals rate situations in which they are essured to prolong aggressive care as one of the most distressing (Hamric & Blackhall, 2007). Similarly, nurses and physicians cite uncertainty over matters such as “do not resuscitate” orders as problematic (Brett, 2002). Some family members have unrealistic expectations for the survival or recoveries of their loved ones. One study demonstrated that unrealistic family expectations are related to increased resource utilization without significant survival benefit (Berge, et al., 2005). Finally, another issue is the fact that nurses and physicians rate the ommunication between providers, patients and families as poor (Brett, 2002). At the point of care level, many U.S. hospitals have implemented one type of information technology called a clinical decision support system (CDSS). Some of these systems are designed to assist clinicians, patients and families in making difficult treatment decisions. The goal of the plementation of such systems is to provide clinicians with an additional source of objective information for clinical decision-making. Although there is evidence on the accuracy and implementation of these systems, little exists in the literature about how nurses and physicians use or experience the system, especially in critical, life and death patient care decisions. Unit culture can also affect timing of end of life decision-making and use of technologies (Baggs, et al., 2007). Therefore understanding the pattern of CDSS use within the unit is also important in understanding individual clinician use of CDSS output in decision- aking with families and patients.

 

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