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

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.

2017 ◽  
Vol 31 (1) ◽  
pp. 396-400 ◽  
Author(s):  
Mohammad Khammarnia ◽  
Roxana Sharifian ◽  
Farid Zand ◽  
Omid Barati ◽  
Ali Keshtkaran ◽  
...  

2021 ◽  
Vol 11 (24) ◽  
pp. 12004
Author(s):  
Shuo-Chen Chien ◽  
Yen-Po Chin ◽  
Chang-Ho Yoon ◽  
Chun-You Chen ◽  
Chun-Kung Hsu ◽  
...  

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.


PLoS ONE ◽  
2015 ◽  
Vol 10 (7) ◽  
pp. e0134101 ◽  
Author(s):  
Fabien Hernandez ◽  
Elyes Majoul ◽  
Carlota Montes-Palacios ◽  
Marie Antignac ◽  
Bertrand Cherrier ◽  
...  

2019 ◽  
Vol 8 (3) ◽  
pp. e000689 ◽  
Author(s):  
Roa Harb ◽  
David Hajdasz ◽  
Marie L Landry ◽  
L Scott Sussman

BackgroundWaste persists in healthcare and negatively impacts patients. Clinicians have direct control over test ordering and ongoing international efforts to improve test utilisation have identified multifaceted approaches as critical to the success of interventions. Prior to 2015, Yale New Haven Health lacked a coherent strategy for laboratory test utilisation management.MethodsIn 2015, a system-wide laboratory formulary committee was formed at Yale New Haven Health to manage multiple interventions designed to improve test utilisation. We report here on specific interventions conducted between 2015 and 2017 including reduction of (1) obsolete or misused testing, (2) duplicate orders, and (3) daily routine lab testing. These interventions were driven by a combination of modifications to computerised physician order entry, test utilisation dashboards and physician education. Measurements included test order volume, blood savings and cost savings.ResultsTesting for a number of obsolete/misused analytes was eliminated or significantly decreased depending on alert rule at order entry. Hard stops significantly decreased duplicate testing and educational sessions significantly decreased daily orders of routine labs and increased blood savings but the impact waned over time for select groups. In total, we realised approximately $100 000 of cost savings during the study period.ConclusionThrough a multifaceted approach to utilisation management, we show significant reductions in low-value clinical testing that have led to modest but significant savings in both costs and patients’ blood.


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 ◽  
...  

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