Technology associated medical errors medical
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Research from Composition:
Technology-Associated Medical Errors
Medical Technology and Individual Safety
Advances in medical technology can be quite a double-edged sword, according to the several research findings discussed by Powell-Cope and colleagues (2008). On the one hand increased technology can prevent adverse events coming from happening, thus reducing the prevalence of medical problems, but the intro of new technology into a medical setting may create unintentional consequences as well, including sufferer harm. The main factors controlling the efficacy of medical technology discussed by the authors had been organizational, social, and environmental.
Organizational factors that affect the success of technology implementation consist of organizational plans, culture, and resources (Powell-Cope, Nelson, Patterson, 2008). One of the examples discussed was a rise in pediatric fatality following hospital-wide implementation of any computerized doctor order admittance (CPOE) system. Shock was the strongest predictor of mortality in the Pittsburgh pediatric rigorous care unit (PICU) examine, but the second strongest predictor was use of the CPOE system (OR: 3. 71; 95% CI: 1 . 88-6. 25) (Yong et approach., 2005). The authors with this study linked the discovered medication mistakes to disruptions in work caused by the CPOE system, which is a great organizational factor. The main difficulty cited simply by clinicians was your inability to arrange medications in anticipation of the person’s arrival. Additional organizational elements that could include contributed to the increased fatality rates were relocating critical medications to a central and less accessible location and a great inflexible style preventing medical doctors from making change instructions.
The study by Yong and collegues (2005) also revealed social factors that might have increased the risk of medical errors. These included clinicians spending less time with patients and colleagues as a result of need to sit at the computer fatal. The presumed consequences included being significantly less aware of important changes in the person’s status and missing opportunities through effort for increasing the quality of care.
When Longhurst and colleagues (2010) took the lessons discovered from the Maryland PICU analyze and applied them to a CPOE execution in a Detroit PICU, the results were significantly better. Mortality rates were not drastically changed and a may well have even improved by 20%. Acknowledging the company factors which may have written for the problems in Pittsburgh the Seattle PICU CPOE program was integrated gradually with time in phases, rather than all at one time as it was done in Pittsburgh. Medication order pieces were created and completely vetted prior to implementation. Crucial medications weren’t centralized, nevertheless left
