The blood utilization calculator, a target‐based electronic decision support algorithm, increases the use of single‐unit transfusions in a large academic medical center

Transfusion ◽  
2018 ◽  
Vol 58 (7) ◽  
pp. 1689-1696 ◽  
Author(s):  
Joseph P. Connor ◽  
Thomas Raife ◽  
Joshua E. Medow ◽  
Bradley D. Ehlenfeldt ◽  
Kristen Sipsma
Keyword(s):  
Decision Support ◽  
Single Unit ◽  
Medical Center ◽  
Academic Medical Center ◽  
Electronic Decision Support ◽  
Academic Medical ◽  
Blood Utilization

Test stewardship, frequency and fidelity: Impact on reported hospital-onset Clostridioides difficile

2019 ◽  
Vol 40 (6) ◽  
pp. 710-712 ◽  
Author(s):  
Michele S. Fleming ◽  
Olivia Hess ◽  
Heather L. Albert ◽  
Emily Styslinger ◽  
Michelle Doll ◽  
...  
Keyword(s):  
Decision Support ◽  
Medical Record ◽  
Critical Review ◽  
Medical Center ◽  
Academic Medical Center ◽  
Clostridioides Difficile ◽  
Testing Frequency ◽  
Academic Medical ◽  
Support Matrix ◽  
The Impact

AbstractWe assessed the impact of an embedded electronic medical record decision-support matrix (Cerner software system) for the reduction of hospital-onset Clostridioides difficile. A critical review of 3,124 patients highlighted excessive testing frequency in an academic medical center and demonstrated the impact of decision support following a testing fidelity algorithm.

scholarly journals Impact of clinical decision support therapeutic interchanges on hospital discharge medication omissions and duplications

2021 ◽  
Author(s):  
Erin Maxwell ◽  
James Amerine ◽  
Glenda Carlton ◽  
Jennifer L Cruz ◽  
Ashley L Pappas ◽  
...  
Keyword(s):  
Decision Support ◽  
Clinical Decision Support ◽  
Medication Reconciliation ◽  
Medical Center ◽  
Academic Medical Center ◽  
Clinical Decision ◽  
Discharge Medication ◽  
Academic Medical ◽  
Before And After ◽  
The Impact

Abstract Disclaimer In an effort to expedite the publication of articles related to the COVID-19 pandemic, AJHP is posting these manuscripts online as soon as possible after acceptance. Accepted manuscripts have been peer-reviewed and copyedited, but are posted online before technical formatting and author proofing. These manuscripts are not the final version of record and will be replaced with the final article (formatted per AJHP style and proofed by the authors) at a later time. Purpose Automatic therapeutic substitution (ATS) protocols are formulary tools that allow for provider-selected interchange from a nonformulary preadmission medication to a formulary equivalent. Previous studies have demonstrated that the application of clinical decision support (CDS) tools to ATS can decrease ATS errors at admission, but there are limited data describing the impact of CDS on discharge errors. The objective of this study was to describe the impact of CDS-supported interchanges on discharge prescription duplications or omissions. Methods This was a single-center, retrospective cohort study conducted at an academic medical center. Patients admitted between June 2017 and August 2019 were included if they were 18 years or older at admission, underwent an ATS protocol–approved interchange for 1 of the 9 included medication classes, and had a completed discharge medication reconciliation. The primary outcome was difference in incidence of therapeutic duplication or omission at discharge between the periods before and after CDS implementation. Results A total of 737 preimplementation encounters and 733 postimplementation encounters were included. CDS did not significantly decrease the incidence of discharge duplications or omissions (12.1% vs 11.2%; 95% confidence interval [CI], –2.3% to 4.2%) nor the incidence of admission duplication or inappropriate reconciliation (21.4% vs 20.7%; 95% CI, –3.4% to 4.8%) when comparing the pre- and postimplementation periods. Inappropriate reconciliation was the primary cause of discharge medication errors for both groups. Conclusion CDS implementation was not associated with a decrease in discharge omissions, duplications, or inappropriate reconciliation. Findings highlight the need for thoughtful medication reconciliation at the point of discharge.

scholarly journals Giving Your EHR a Checkup after COVID-19: A Practical Framework for Reviewing Clinical Decision Support in Light of the Telemedicine Expansion (Preprint)

2020 ◽  
Author(s):  
Jonah Feldman ◽  
Adam Szerencsy ◽  
Devin Mann ◽  
Jonathan Austrian ◽  
Ulka Kothari ◽  
...  
Keyword(s):  
Decision Support ◽  
Clinical Decision Support ◽  
Clinical Data ◽  
Chronic Care ◽  
Medical Center ◽  
Academic Medical Center ◽  
Clinical Decision ◽  
Rapid Expansion ◽  
Office Visits ◽  
Academic Medical

BACKGROUND The transformation of healthcare during COVID-19 with the rapid expansion of telemedicine visits presents new challenges to chronic care and preventive health providers. Clinical decision support (CDS) is critically important to chronic care providers, and CDS malfunction is common during times of change. It is essential to regularly re-assess an organization's ambulatory CDS program to maintain care quality. This is especially true after an immense change, like the COVID-19 telemedicine expansion. OBJECTIVE Our objective is to re-assess the ambulatory CDS program at a large academic medical center in light of telemedicine's expansion in response to COVID-19. METHODS Our clinical informatics team devised a practical framework for an intra-pandemic ambulatory CDS assessment focused on the impact of the telemedicine expansion. This assessment began with a quantitative analysis comparing CDS alert performance in the context of in-person and telemedicine visits. Board-certified physician informaticists then completed a formal workflow review of alerts with inferior performance in telemedicine visits. Informaticists then reported on themes and optimization opportunities through the existing CDS governance structure. RESULTS Our assessment revealed that 10 of our top 40 alerts by volume were not firing as expected in telemedicine visits. In 3 out of the top 5 alerts, providers were significantly less likely to take action in telemedicine when compared to office visits. Cumulatively, alerts in telemedicine encounters had an action taken rate of 5.3% (3,257/64,938) compared to 8.3% (19,427/233,636) for office visits. Observations from a clinical informaticist workflow review included: (1) Telemedicine visits have different workflows than office visits. Some alerts developed for the office were not appearing at the optimal time in the telemedicine workflow. (2) Missing clinical data is a common reason for decreased alert firing seen in telemedicine visits. (3) Remote patient monitoring and patient-reported clinical data entered through the portal could replace data collection usually completed in the office by an MA or RN. CONCLUSIONS Conclusions: In a large academic medical center at the pandemic epicenter, an intra-pandemic ambulatory CDS assessment revealed clinically significant CDS malfunctions that highlight the importance of re-assessing ambulatory CDS performance after the telemedicine expansion. CLINICALTRIAL

Gender differences in career progress and satisfaction in an academic medical center

2002 ◽  
Vol 2 (3) ◽  
pp. 95-104 ◽  
Author(s):  
JoAnn Manson ◽  
Beverly Rockhill ◽  
Margery Resnick ◽  
Eleanor Shore ◽  
Carol Nadelson ◽  
...  
Keyword(s):  
Gender Differences ◽  
Medical Center ◽  
Academic Medical Center ◽  
Academic Medical ◽  
Career Progress
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