Proceedings (Baylor University. Medical Center)
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Proc (Bayl Univ Med Cent) · Jan 2018
Factors among patients receiving prone positioning for the acute respiratory distress syndrome found useful for predicting mortality in the intensive care unit.
Optimal mechanical ventilation management in patients with the acute respiratory distress syndrome (ARDS) involves the use of low tidal volumes and limited plateau pressure. Refractory hypoxemia may not respond to this strategy, requiring other interventions. The use of prone positioning in severe ARDS resulted in improvement in 28-day survival. ⋯ The ability of each of these parameters to predict mortality was assessed with receiver operating characteristic curves. The area under the curve values for APACHE II, plateau pressure, and driving pressure were 0.74, 0.69, and 0.67, respectively. In conclusion, in a group of patients with severe ARDS treated with prone positioning, only APACHE II, plateau pressure, and driving pressure were associated with mortality in the intensive care unit.
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There have been many attempts to incorporate automation into the practice of anesthesiology, though none have been successful. Fundamentally, these failures are due to the underlying complexity of anesthesia practice and the inability of rule-based feedback loops to fully master it. Recent innovations in artificial intelligence, especially machine learning, may usher in a new era of automation across many industries, including anesthesiology. It would be wise to consider the implications of such potential changes before they have been fully realized.
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Proc (Bayl Univ Med Cent) · Apr 2017
Pre and post hoc analysis of electronic health record implementation on emergency department metrics.
Longitudinal time-based emergency department (ED) performance measures were quantified 12 months before and 12 months after (March 2012-February 2014) implementation of a Meditech 6.0® electronic health record (EHR) at a single urban academic ED. Data assessed were length of stay from door to door, door to admission, door to bed, bed to provider, provider to disposition, and disposition to admission, as well as number of patients leaving against medical advice and number of patients leaving without being seen. Analysis of variance was used to compare levels before and after EHR implementation for each variable, with adjustments made for the number of admissions, transfers, and month. ⋯ Thus, EHR implementation was associated with an increase in time with most performance metrics. Although general times trended back to near preimplementation baselines, most ED time metrics remained elevated beyond the study length of 12 months. Understanding the impact of EHR system implementation on the overall performance of an ED can help departments prepare for potential adverse effects of such systems on overall efficiency.
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Proc (Bayl Univ Med Cent) · Apr 2017
Emergency department discharge prescription errors in an academic medical center.
This study described discharge prescription medication errors written for emergency department patients. This study used content analysis in a cross-sectional design to systematically categorize prescription errors found in a report of 1000 discharge prescriptions submitted in the electronic medical record in February 2015. Two pharmacy team members reviewed the discharge prescription list for errors. ⋯ Emergency medicine residents wrote the highest percentage of prescriptions (46.7%) and had an error rate of 9.2%. Residents of other specialties wrote 340 prescriptions and had an error rate of 20.9%. Errors occurred most often between 10:00 am and 6:00 pm.