The Impact of a Pneumatic Tube and Computerized Physician Order Entry on Laboratory Turnaround for Cardiac Markers

2006 ◽  
Vol 13 (5Supplement 1) ◽  
pp. S114-S114
Author(s):  
J. Killeen
Keyword(s):  
Computerized Physician Order Entry ◽  
Cardiac Markers ◽  
Order Entry ◽  
Pneumatic Tube ◽  
Physician Order Entry ◽  
The Impact

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

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

Financial Impact of an Automated Oncology Dose-Rounding Initiative: One-Year Analysis

2021 ◽  
pp. 805-810
Author(s):  
Jacqueline C. Dela-Pena ◽  
Katie A. Eschenburg ◽  
Vincent W. LaRocca ◽  
Dipale Patel ◽  
Shannon M. Hough
Keyword(s):  
Cost Savings ◽  
Health Care Expenditures ◽  
Cytotoxic Agents ◽  
Computerized Physician Order Entry ◽  
Order Entry ◽  
Minimal Impact ◽  
Drug Expenditures ◽  
Physician Order Entry ◽  
The Impact ◽  
Rounding Algorithm

PURPOSE Infusion drugs are regarded as one of the high-cost health care expenditures. One approach to decrease drug expenditures is by dose-rounding biologics and cytotoxic agents. The Hematology/Oncology Pharmacy Association recommends that biologic and cytotoxic agents are rounded to the nearest vial size if they are within 10% of the ordered dose. The purpose of this initiative is to determine the impact of an automated dose-rounding algorithm on drug expenses. METHODS The dose-rounding algorithm was developed and integrated into the computerized physician order entry system for automated dose rounding to minimize impact on current workflow and to reduce medication errors. Twenty-four medications were preselected for dose rounding and included in the analysis. Ordered doses were automatically rounded to the nearest vial size if the dose was within 10% of the original dose. Prescribers then either reviewed and signed the rounded dose or manually entered the nonrounded dose. Cost savings were calculated as drug expense savings from doses rounded down. RESULTS From July 2018 to June 2019, 10,206 doses of the selected medications were administered. Dose rounding occurred in 5,069 doses (49.7%). All 24 medications within the initiative were administered within the time of analysis. Of the rounded doses administered, 2,516 (49.6%) were rounded down to a commercially available vial size. Using wholesale acquisition cost pricing, the drug expense savings was approximately $3.6 million US dollars (USD). The medications with the highest savings were trastuzumab and ipilimumab, with annual savings of $756,780 USD and $494,517 USD, respectively. CONCLUSION The automated dose-rounding algorithm at Michigan Medicine reduced drug expenditures substantially, and its integration within the computerized physician order entry system had minimal impact on current workflow.

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