This work proposes the first hot-polymer fiber Fabry–Perot interferometer (HPFFPI) anemometer for sensing airflow. The proposed HPFFPI is based on a single-mode fiber (SMF) endface that is attached to a UV-cured polymer to form an ultracompact fiber Fabry–Perot microcavity. The proposed polymer microcavity was heated using a low-cost chip resistor with a controllable dc driving power to achieve a desired polymer’s steady-state temperature (T) that exceeds the T of the surrounding environment. The polymer is highly sensitive to variations of T with high repeatability. When the hot polymer was cooled by the measured flowing air, the wavelength fringes of its optical spectra shifted. The HPFFPI anemometers have been experimentally evaluated for different cavity lengths and heating power values. Experimental results demonstrate that the proposed HPFFPI responses well in terms of airflow measurement. A high sensitivity of 1.139 nm/(m/s) and a good resolution of 0.0088 m/s over the 0~2.54 m/s range of airflow were achieved with a cavity length of 10 μm and a heating power of 0.402 W.
ObjectivesKnowledge of the prevalence and characteristics of medication errors in pediatric and neonatal patients is limited. This study aimed to evaluate the incidence and medication error characteristics in a pediatric hospital over 5 years and to determine whether serial error prevention programs to optimize a computerized physician order entry (CPOE) system reduce error incidence.MethodsWe retrospectively reviewed medication errors documented between January 2015 and December 2019.ResultsA total of 2,591,596 prescriptions were checked, and 255 errors were identified. Wrong dose prescriptions constituted the most common errors (56.9%). Medications with the highest rate of errors were antibiotics/antiviral drugs (36.9%). Oral route medications comprised the highest portion (60.8%), followed by intravenous ones (28.6%). The most common stage for medication errors was physician ordering (93.3%). Junior residents were responsible for most errors (45.9%). Most errors occurred in the pediatric ward (53.7%). In total, 221 (86.7%) errors were near misses. Only 4 errors (1.6%) were considered significant and required active monitoring or intervention. Type of error, stage of error, staff composition, and severity level of errors were significantly related to the number of errors in different years. There was a statistically significant decrease in errors per 100,000 prescriptions across different years after optimizing the CPOE system.ConclusionsThe incidence of medication errors decreased with extensive use of the CPOE system. Continuous application of the CPOE optimization program can effectively reduce medication errors. Further incorporation of pediatric-specific decision-making and support tools and error prevention measures into CPOE systems is needed.
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