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  1. AU="Draper, Evan W"
  2. AU="Rosenblum, Shira T"
  3. AU=Kavousi Javid
  4. AU="Mukram, Mohd Azeemuddin"
  5. AU="Farzana Yasmin"
  6. AU=Epel Elissa S
  7. AU="Voet, W"
  8. AU="Jay Patel"
  9. AU="Iacob, Nicusor"
  10. AU="Guo, Dengyang"
  11. AU="Galacho-Harriero, Ana María"
  12. AU="Awoyelu, E H"
  13. AU="Tinajero, Jose"
  14. AU=Vashishtha Vipin M AU=Vashishtha Vipin M
  15. AU="D'Agostino, Nicole"
  16. AU="Lunetta, Kathryn L"
  17. AU="Tirschmann, Felix"
  18. AU="Adetuyi, B.O."

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  1. Artikel ; Online: Design and evaluation of an electronic prospective medication order review system for medication orders in the inpatient setting.

    Ojha, Pooja / Anderson, Benjamin J / Draper, Evan W / Flaker, Susan M / Siska, Mark H / Mara, Kristin C / Kennedy, Brian D / Schreier, Diana J

    JAMIA open

    2024  Band 7, Heft 1, Seite(n) ooae003

    Abstract: Objectives: Since the 1970s, a plethora of tools have been introduced to support the medication use process. However, automation initiatives to assist pharmacists in prospectively reviewing medication orders are lacking. The review of many medications ... ...

    Abstract Objectives: Since the 1970s, a plethora of tools have been introduced to support the medication use process. However, automation initiatives to assist pharmacists in prospectively reviewing medication orders are lacking. The review of many medications may be protocolized and implemented in an algorithmic fashion utilizing discrete data from the electronic health record (EHR). This research serves as a proof of concept to evaluate the capability and effectiveness of an electronic prospective medication order review (EPMOR) system compared to pharmacists' review.
    Materials and methods: A subset of the most frequently verified medication orders were identified for inclusion. A team of clinical pharmacist experts developed best-practice EPMOR criteria. The established criteria were incorporated into conditional logic built within the EHR. Verification outcomes from the pharmacist (human) and EPMOR (automation) were compared.
    Results: Overall, 13 404 medication orders were included. Of those orders, 13 133 passed pharmacist review, 7388 of which passed EPMOR. A total of 271 medication orders failed pharmacist review due to order modification or discontinuation, 105 of which passed EPMOR. Of the 105 orders, 19 were duplicate orders correctly caught by both EPMOR and pharmacists, but the opposite duplicate order was rejected, 51 orders failed due to scheduling changes.
    Discussion: This simulation was capable of effectively discriminating and triaging orders. Protocolization and automation of the prospective medication order review process in the EHR appear possible using clinically driven algorithms.
    Conclusion: Further research is necessary to refine such algorithms to maximize value, improve efficiency, and minimize safety risks in preparation for the implementation of fully automated systems.
    Sprache Englisch
    Erscheinungsdatum 2024-01-27
    Erscheinungsland United States
    Dokumenttyp Journal Article
    ISSN 2574-2531
    ISSN (online) 2574-2531
    DOI 10.1093/jamiaopen/ooae003
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  2. Artikel ; Online: Clinical outcomes of COVID-19 treated with remdesivir across the continuum of care.

    Rivera, Christina G / Chesdachai, Supavit / Draper, Evan W / Arndt, Richard F / Mara, Kristin C / Gonzalez Suarez, Maria / Razonable, Raymund R

    Influenza and other respiratory viruses

    2023  Band 17, Heft 5, Seite(n) e13136

    Abstract: Introduction: During the early phase of the coronavirus disease 2019 (COVID-19), remdesivir was only approved for hospitalized patients. Our institution developed hospital-based, outpatient infusion centers for selected hospitalized patients with COVID- ... ...

    Abstract Introduction: During the early phase of the coronavirus disease 2019 (COVID-19), remdesivir was only approved for hospitalized patients. Our institution developed hospital-based, outpatient infusion centers for selected hospitalized patients with COVID-19 who had clinical improvement to allow for early dismissal. The outcomes of patients who transitioned to complete remdesivir in the outpatient setting were examined.
    Methods: Retrospective study of all hospitalized adult patients with COVID-19 who received at least one dose of remdesivir from November 6, 2020, to November 5, 2021, at one of the Mayo Clinic hospitals.
    Results: Among 3029 hospitalized patients who received treatment with remdesivir for COVID-19, the majority (89.5%) completed the recommended 5-day course. Among them, 2169 (80%) patients completed treatment during hospitalization, whereas 542 (20.0%) patients were dismissed to complete remdesivir in outpatient infusion centers. Patients who completed the treatment in the outpatient setting had lower odds of death within 28 days (aOR 0.14, 95% CI 0.06-0.32,
    Conclusions: This study describes the clinical outcomes of a strategy of transitioning remdesivir therapy from inpatient to outpatient among selected patients. Mortality was lower among patients who completed the 5-day course of remdesivir.
    Mesh-Begriff(e) Adult ; Humans ; COVID-19 ; SARS-CoV-2 ; Retrospective Studies ; Antiviral Agents ; COVID-19 Drug Treatment ; Continuity of Patient Care
    Chemische Substanzen remdesivir (3QKI37EEHE) ; Antiviral Agents
    Sprache Englisch
    Erscheinungsdatum 2023-05-17
    Erscheinungsland England
    Dokumenttyp Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2274538-5
    ISSN 1750-2659 ; 1750-2640
    ISSN (online) 1750-2659
    ISSN 1750-2640
    DOI 10.1111/irv.13136
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  3. Artikel ; Online: An evaluation of intravenous medication preparation times before and after implementation of first-party digital image capture functionality.

    Hsia, Bernard M / Shelton, A Travis / Mara, Kristin C / Lim, Dennison / Mistri, Amish / Ong, Kyle / Draper, Evan W

    American journal of health-system pharmacy : AJHP : official journal of the American Society of Health-System Pharmacists

    2023  Band 80, Heft 11, Seite(n) 663–669

    Abstract: Purpose: The intravenous (IV) medication compounding workflow has long been associated with preventable medication errors. This has led to the development of technologies designed to enhance the safety of IV compounding workflows. Digital image capture ... ...

    Abstract Purpose: The intravenous (IV) medication compounding workflow has long been associated with preventable medication errors. This has led to the development of technologies designed to enhance the safety of IV compounding workflows. Digital image capture is a component of this technology about which there is relatively limited published literature. This study evaluates image capture implemented within an electronic health record's existing first-party IV workflow solution.
    Methods: A retrospective case-control study was conducted to measure IV preparation times before and after digital imaging implementation. Preparations during 3 periods (preimplementation, ≤1 month post implementation, and >1 month post implementation) were matched for 5 variables. A less stringent analysis with matching for 2 variables, as well as an unmatched analysis, were performed post hoc. An employee survey assessed satisfaction with the digital imaging workflow, and revised orders were reviewed to identify new problems introduced by image capture.
    Results: A total of 134,969 IV dispenses were available for analysis. Median preparation time in the preimplementation and >1 month post implementation cohorts was unchanged in the 5-variable matched analysis (6.87 minutes vs 6.58 minutes, P = 0.14) and increased in the 2-variable matched analysis (6.98 minutes vs 7.35 minutes, P < 0.001) and unmatched analysis (6.55 minutes vs 8.02 minutes, P < 0.001). A large majority of survey respondents (92%) felt that image capture improved patient safety. Of the 105 postimplementation preparations identified as requiring revisions by the checking pharmacist, 24 (22.9%) required revisions directly related to camera functionality.
    Conclusion: Implementation of digital image capture likely increased preparation times. Most IV room staff felt that image capture increased preparation times and were satisfied with how the technology improved patient safety. Image capture introduced camera-specific issues that led to preparations requiring revisions.
    Mesh-Begriff(e) Humans ; Drug Compounding/methods ; Retrospective Studies ; Case-Control Studies ; Medication Errors ; Administration, Intravenous
    Sprache Englisch
    Erscheinungsdatum 2023-03-15
    Erscheinungsland England
    Dokumenttyp Journal Article
    ZDB-ID 1224627-x
    ISSN 1535-2900 ; 1079-2082
    ISSN (online) 1535-2900
    ISSN 1079-2082
    DOI 10.1093/ajhp/zxad044
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  4. Artikel ; Online: Identification of priority targets for intervention in outpatient antimicrobial stewardship.

    Arensman Hannan, Kellie N / Draper, Evan W / Uecker-Bezdicek, Karen A / Gomez-Urena, Eric O / Jensen, Kelsey L

    Antimicrobial stewardship & healthcare epidemiology : ASHE

    2022  Band 2, Heft 1, Seite(n) e133

    Abstract: A multimodal antimicrobial stewardship intervention was associated with a decrease in antibiotic prescribing for targeted non-coronavirus disease 2019 (COVID-19) upper respiratory infections from 27.6% in 2019 to 7.6% in 2021. We describe our approach to ...

    Abstract A multimodal antimicrobial stewardship intervention was associated with a decrease in antibiotic prescribing for targeted non-coronavirus disease 2019 (COVID-19) upper respiratory infections from 27.6% in 2019 to 7.6% in 2021. We describe our approach to prioritizing departments for 3 levels of interventions in the setting of limited stewardship personnel.
    Sprache Englisch
    Erscheinungsdatum 2022-08-05
    Erscheinungsland England
    Dokumenttyp Journal Article
    ISSN 2732-494X
    ISSN (online) 2732-494X
    DOI 10.1017/ash.2022.277
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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