scholarly journals The impact of computerized physician order entry on prescription orders: A quasi-experimental study in Iran

2017 ◽  
Vol 31 (1) ◽  
pp. 396-400 ◽  
Author(s):  
Mohammad Khammarnia ◽  
Roxana Sharifian ◽  
Farid Zand ◽  
Omid Barati ◽  
Ali Keshtkaran ◽  
...  
Keyword(s):  
Experimental Study ◽  
Computerized Physician Order Entry ◽  
Order Entry ◽  
Quasi Experimental ◽  
Physician Order Entry ◽  
The Impact

Improving adherence to the Epic Beacon ambulatory workflow

2016 ◽  
Vol 23 (4) ◽  
pp. 273-277 ◽  
Author(s):  
Ellen Chackunkal ◽  
Vishnuprabha Dhanapal Vogel ◽  
Meredith Grycki ◽  
Diana Kostoff
Keyword(s):  
Compliance Rate ◽  
Medication Administration ◽  
Computerized Physician Order Entry ◽  
Order Entry ◽  
Center Staff ◽  
Ambulatory Oncology ◽  
Before And After ◽  
Henry Ford ◽  
Quasi Experimental ◽  
Physician Order Entry

Computerized physician order entry has been shown to significantly improve chemotherapy safety by reducing the number of prescribing errors. Epic's Beacon Oncology Information System of computerized physician order entry and electronic medication administration was implemented in Henry Ford Health System's ambulatory oncology infusion centers on 9 November 2013. Since that time, compliance to the infusion workflow had not been assessed. The objective of this study was to optimize the current workflow and improve the compliance to this workflow in the ambulatory oncology setting. This study was a retrospective, quasi-experimental study which analyzed the composite workflow compliance rate of patient encounters from 9 to 23 November 2014. Based on this analysis, an intervention was identified and implemented in February 2015 to improve workflow compliance. The primary endpoint was to compare the composite compliance rate to the Beacon workflow before and after a pharmacy-initiated intervention. The intervention, which was education of infusion center staff, was initiated by ambulatory-based, oncology pharmacists and implemented by a multi-disciplinary team of pharmacists and nurses. The composite compliance rate was then reassessed for patient encounters from 2 to 13 March 2015 in order to analyze the effects of the determined intervention on compliance. The initial analysis in November 2014 revealed a composite compliance rate of 38%, and data analysis after the intervention revealed a statistically significant increase in the composite compliance rate to 83% ( p < 0.001). This study supports a pharmacist-initiated educational intervention can improve compliance to an ambulatory, oncology infusion workflow.

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 An Observational Study of the Impact of a Computerized Physician Order Entry System on the Rate of Medication Errors in an Orthopaedic Surgery Unit

PLoS ONE ◽  
2015 ◽  
Vol 10 (7) ◽  
pp. e0134101 ◽  
Author(s):  
Fabien Hernandez ◽  
Elyes Majoul ◽  
Carlota Montes-Palacios ◽  
Marie Antignac ◽  
Bertrand Cherrier ◽  
...  
Keyword(s):  
Observational Study ◽  
Medication Errors ◽  
Orthopaedic Surgery ◽  
Computerized Physician Order Entry ◽  
Order Entry ◽  
Physician Order Entry ◽  
The Impact

The impact of a computerized physician order entry system on medical errors with antineoplastic drugs 5 years after its implementation

2015 ◽  
Vol 40 (5) ◽  
pp. 550-554 ◽  
Author(s):  
M. Sanchez Cuervo ◽  
A. Rojo Sanchis ◽  
C. Pueyo Lopez ◽  
E. Gomez de Salazar Lopez de Silanes ◽  
T. Gramage Caro ◽  
...  
Keyword(s):  
Medical Errors ◽  
Computerized Physician Order Entry ◽  
Antineoplastic Drugs ◽  
Order Entry ◽  
Physician Order Entry ◽  
The Impact
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