scholarly journals A Tool to Retrieve Alert Dwell Time from a Homegrown Computerized Physician Order Entry (CPOE) System of an Academic Medical Center: An Exploratory Analysis

2021 ◽  
Vol 11 (24) ◽  
pp. 12004
Author(s):  
Shuo-Chen Chien ◽  
Yen-Po Chin ◽  
Chang-Ho Yoon ◽  
Chun-You Chen ◽  
Chun-Kung Hsu ◽  
...  
Keyword(s):  
Dwell Time ◽  
Medical Center ◽  
Academic Medical Center ◽  
Exploratory Analysis ◽  
Computerized Physician Order Entry ◽  
Order Entry ◽  
Professional Groups ◽  
Academic Medical ◽  
Physician Order Entry ◽  
The Impact

Alert dwell time, defined as the time elapsed from the generation of an interruptive alert to its closure, has rarely been used to describe the time required by clinicians to respond to interruptive alerts. Our study aimed to develop a tool to retrieve alert dwell times from a homegrown CPOE (computerized physician order entry) system, and to conduct exploratory analysis on the impact of various alert characteristics on alert dwell time. Additionally, we compared this impact between various professional groups. With these aims, a dominant window detector was developed using the Golang programming language and was implemented to collect all alert dwell times from the homegrown CPOE system of a 726-bed, Taiwanese academic medical center from December 2019 to February 2021. Overall, 3,737,697 interruptive alerts were collected. Correlation analysis was performed for alerts corresponding to the 100 most frequent alert categories. Our results showed that there was a negative correlation (ρ = −0.244, p = 0.015) between the number of alerts and alert dwell times. Alert dwell times were strongly correlated between different professional groups (physician vs. nurse, ρ = 0.739, p < 0.001). A tool that retrieves alert dwell times can provide important insights to hospitals attempting to improve clinical workflows.

scholarly journals A novel method to retrieve alerts from a homegrown Computerized Physician Order Entry (CPOE) system of an academic medical center: Comprehensive alert characteristic analysis

PLoS ONE ◽  
2021 ◽  
Vol 16 (2) ◽  
pp. e0246597
Author(s):  
Shuo-Chen Chien ◽  
Yen-Po (Harvey) Chin ◽  
Chang Ho Yoon ◽  
Md. Mohaimenul Islam ◽  
Wen-Shan Jian ◽  
...  
Keyword(s):  
Medical Center ◽  
Academic Medical Center ◽  
Computerized Physician Order Entry ◽  
Order Entry ◽  
Characteristic Analysis ◽  
Hospital System ◽  
Hospital Administrators ◽  
Academic Medical ◽  
Novel Method ◽  
Physician Order Entry

Background The collection and analysis of alert logs are necessary for hospital administrators to understand the types and distribution of alert categories within the organization and reduce alert fatigue. However, this is not readily available in most homegrown Computerized Physician Order Entry (CPOE) systems. Objective To present a novel method that can collect alert information from a homegrown CPOE system (at an academic medical center in Taiwan) and conduct a comprehensive analysis of the number of alerts triggered and alert characteristics. Methods An alert log collector was developed using the Golang programming language and was implemented to collect all triggered interruptive alerts from a homegrown CPOE system of a 726-bed academic medical center from November 2017 to June 2018. Two physicians categorized the alerts from the log collector as either clinical or non-clinical (administrative). Results Overall, 1,625,341 interruptive alerts were collected and classified into 1,474 different categories based on message content. The sum of the top 20, 50, and 100 categories of most frequently triggered alerts accounted for approximately 80, 90 and 97 percent of the total triggered alerts, respectively. Among alerts from the 100 most frequently triggered categories, 1,266,818 (80.2%) were administrative and 312,593 (19.8%) were clinical alerts. Conclusion We have successfully developed an alert log collector that can serve as an extended function to retrieve alerts from a homegrown CPOE system. The insight generated from the present study could also potentially bring value to hospital system designers and hospital administrators when redesigning their CPOE system.

scholarly journals Immediate Benefits Realized Following Implementation of Physician Order Entry at an Academic Medical Center

2002 ◽  
Vol 9 (5) ◽  
pp. 529-539 ◽  
Author(s):  
H. S. Mekhjian ◽  
R. R. Kumar ◽  
L. Kuehn ◽  
T. D. Bentley ◽  
P. Teater ◽  
...  
Keyword(s):  
Medical Center ◽  
Academic Medical Center ◽  
Order Entry ◽  
Academic Medical ◽  
Physician Order Entry

scholarly journals Alcohol Hand Rub Significantly Reduces Overall Bacterial Bioburden on Stethoscopes in a Real-World Clinical Setting

2020 ◽  
Vol 41 (S1) ◽  
pp. s114-s115
Author(s):  
Alexandra Johnson ◽  
Bobby Warren ◽  
Deverick John Anderson ◽  
Melissa Johnson ◽  
Isabella Gamez ◽  
...  
Keyword(s):  
Real World ◽  
Medical Center ◽  
Academic Medical Center ◽  
Randomized Study ◽  
Healthcare Providers ◽  
Clinical Workflow ◽  
Provider Type ◽  
Academic Medical ◽  
Rn Students ◽  
The Impact

Background: Stethoscopes are a known vector for microbial transmission; however, common strategies used to clean stethoscopes pose certain barriers that prevent routine cleaning after every use. We aimed to determine whether using readily available alcohol-based hand rub (ABHR) would effectively reduce bacterial bioburden on stethoscopes in a real-world setting. Methods: We performed a randomized study on inpatient wards of an academic medical center to assess the impact of using ABHR (AlcareExtra; ethyl alcohol, 80%) on the bacterial bioburden of stethoscopes. Stethoscopes were obtained from healthcare providers after routine use during an inpatient examination and were randomized to control (no intervention) or ABHR disinfection (2 pumps applied to tubing and bell or diaphragm by study personnel, then allowed to dry). Cultures of the tubing and bell or diaphragm were obtained with premoistened cellulose sponges. Sponges were combined with 1% Tween20-PBS and mixed in the Seward Stomacher. The homogenate was centrifuged and all but ~5 mL of the supernatant was discarded. Samples were plated on sheep’s blood agar and selective media for clinically important pathogens (CIPs) including S. aureus, Enterococcus spp, and gram-negative bacteria (GNB). CFU count was determined by counting the number of colonies on each plate and using dilution calculations to calculate the CFU of the original ~5 mL homogenate. Results: In total, 80 stethoscopes (40 disinfection, 40 control) were sampled from 46 physicians (MDs) and MD students (57.5%), 13 advanced practice providers (16.3%), and 21 nurses (RNs) and RN students (26.3%). The median CFU count was ~30-fold lower in the disinfection arm compared to control (106 [IQR, 50–381] vs 3,320 [986–4,834]; P < .0001). The effect was consistent across provider type, frequency of recent usual stethoscope cleaning, age, and status of pet ownership (Fig. 1). Overall, 26 of 80 (33%) of stethoscopes harbored CIP. The presence of CIP was lower but not significantly different for stethoscopes that underwent disinfection versus controls: S. aureus (25% vs 32.5%), Enterococcus (2.5% vs 10%), and GNB (2.5% vs 5%). Conclusions: Stethoscopes may serve as vectors for clean hands to become recontaminated immediately prior to performing patient care activities. Using ABHR to clean stethoscopes after every use is a practical and effective strategy to reduce overall bacterial contamination that can be easily incorporated into clinical workflow. Larger studies are needed to determine the efficacy of ABHR at removing CIP from stethoscopes as stethoscopes in both arms were frequently contaminated with CIP. Prior cleaning of stethoscopes on the study day did not seem to impact contamination rates, suggesting the impact of alcohol foam disinfection is short-lived and may need to be repeated frequently (ie, after each use).Funding: NoneDisclosures: NoneDisclosures: NoneFunding: None

scholarly journals 154. Antibiotic Use During Three Separate Waves of the COVID-19 Pandemic at a Large Academic Medical Center in Detroit, MI

2021 ◽  
Vol 8 (Supplement_1) ◽  
pp. S188-S189
Author(s):  
Deepika Sivakumar ◽  
Shelbye R Herbin ◽  
Raymond Yost ◽  
Marco R Scipione
Keyword(s):  
Retrospective Review ◽  
Bacterial Pneumonia ◽  
Medical Center ◽  
Academic Medical Center ◽  
Antibiotic Use ◽  
Percent Change ◽  
Academic Medical ◽  
Days Of Therapy ◽  
Time Periods ◽  
The Impact

Abstract Background Inpatient antibiotic use early on in the COVID-19 pandemic may have increased due to the inability to distinguish between bacterial and COVID-19 pneumonia. The purpose of this study was to determine the impact of COVID-19 on antimicrobial usage during three separate waves of the COVID-19 pandemic. Methods We conducted a retrospective review of patients admitted to Detroit Medical Center between 3/10/19 to 4/24/21. Median days of therapy per 1000 adjusted patient days (DOT/1000 pt days) was evaluated for all administered antibiotics included in our pneumonia guidelines during 4 separate time periods: pre-COVID (3/3/19-4/27/19); 1st wave (3/8/20-5/2/20); 2nd wave (12/6/21-1/30/21); and 3rd wave (3/7/21-4/24/21). Antibiotics included in our pneumonia guidelines include: amoxicillin, azithromycin, aztreonam, ceftriaxone, cefepime, ciprofloxacin, doxycycline, linezolid, meropenem, moxifloxacin, piperacillin-tazobactam, tobramycin, and vancomycin. The percent change in antibiotic use between the separate time periods was also evaluated. Results An increase in antibiotics was seen during the 1st wave compared to the pre-COVID period (2639 [IQR 2339-3439] DOT/1000 pt days vs. 2432 [IQR 2291-2499] DOT/1000 pt days, p=0.08). This corresponded to an increase of 8.5% during the 1st wave. This increase did not persist during the 2nd and 3rd waves of the pandemic, and the use decreased by 8% and 16%, respectively, compared to the pre-COVID period. There was an increased use of ceftriaxone (+6.5%, p=0.23), doxycycline (+46%, p=0.13), linezolid (+61%, p=0.014), cefepime (+50%, p=0.001), and meropenem (+29%, p=0.25) during the 1st wave compared to the pre-COVID period. Linezolid (+39%, p=0.013), cefepime (+47%, p=0.08) and tobramycin (+47%, p=0.05) use remained high during the 3rd wave compared to the pre-COVID period, but the use was lower when compared to the 1st and 2nd waves. Figure 1. Antibiotic Use 01/2019 to 04/2019 Conclusion Antibiotics used to treat bacterial pneumonia during the 1st wave of the pandemic increased and there was a shift to broader spectrum agents during that period. The increased use was not sustained during the 2nd and 3rd waves of the pandemic, possibly due to the increased awareness of the differences between patients who present with COVID-19 pneumonia and bacterial pneumonia. Disclosures All Authors: No reported disclosures

Abstract 16125: Impact of COVID-19 on Echocardiography Volume at a Large Academic Medical Center

Circulation ◽  
2020 ◽  
Vol 142 (Suppl_3) ◽  
Author(s):  
Merilyn S Varghese ◽  
Jordan B Strom ◽  
Sarah Fostello ◽  
Warren J Manning
Keyword(s):  
Patient Outcomes ◽  
Hospital Admissions ◽  
Medical Center ◽  
Academic Medical Center ◽  
Academic Medical ◽  
Hospital Systems ◽  
The Impact ◽  
At Home

Introduction: COVID-19 has significantly impacted hospital systems worldwide. The impact of statewide stay-at-home mandates on echocardiography volumes is unclear. Methods: We queried our institutional echocardiography database from 6/1/2018 to 6/13/2020 to examine rates of transthoracic (TTE), stress (SE), and transesophageal echocardiograms (TEE) prior to and following the COVID-19 Massachusetts stay-at-home order on March 15, 2020. Results: Among 36,377 total studies performed during the study period, mean weekly study volume dropped from 332 + 3 TTEs/week, 30 + 1 SEs/week, and 21 + 1 TEEs/week prior to the stay-at-home order (6/1/2018-3/15/2020) to 158 + 13 TTEs/week, 8 + 2 SEs/week, and 8 + 1 TEEs/week after (% change, -52%, -73%, and -62% respectively, all p < 0.001 when comparing volume prior to March 15 versus after). Weekly TTEs correlated strongly with hospital admissions throughout the study period (r = 0.93, 95% CI 0.89-0.95, p < 0.001) ( Figure ). Outpatient TTEs declined more than inpatient TTEs (% change, -74% vs. -39%, p <0.001). As of 3 weeks following the cessation of the stay-at-home order, TTE, SE, and TEE weekly volumes have increased to 73%, 66%, and 81% of pre-pandemic levels, respectively. Conclusions: Echocardiography volumes fell precipitously following the Massachusetts stay-at-home order, strongly paralleling declines in overall hospitalizations. Outpatient TTEs declined more than inpatient TTEs. Despite lifting of the order, echocardiography volumes remain substantially below pre-pandemic levels. The impact of the decreased use of echocardiographic services on patient outcomes remains to be determined.

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