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Geriatric ED Prescribing: CDS Tool Improves Safety - News Directory 3

Geriatric ED Prescribing: CDS Tool Improves Safety

May 30, 2025 Health
News Context
At a glance
  • A new study reveals that integrating a ⁢clinical⁢ decision support (CDS) system into electronic health records (EHRs)⁤ significantly boosts adherence to geriatric prescribing recommendations within emergency departments (EDs).
  • Researchers analyzed data from 6,745 ED orders during 5,814 patient visits and 1,440 discharge prescriptions ‍for PIMs involving adults 65 and older.
  • the primary goal⁤ was to assess adherence to CDS recommendations.
Original source: medscape.com

A ⁤groundbreaking ⁢study highlights how incorporating a clinical decision support (CDS) tool into electronic health records (EHRs) dramatically⁤ enhances ⁢medication safety for⁣ older ⁢adults ⁣in‍ emergency departments. This⁢ integration⁣ significantly ⁣boosts adherence to geriatric prescribing⁢ guidelines, reducing the risk associated with potentially inappropriate medications (PIMs). Researchers found that after implementing the CDS system, adherence to geriatric recommendations for targeted PIMs‍ jumped substantially. They also examined the utilization rates of the CDS panel demonstrating its impact on improving care, and ⁤adherence ⁤to‍ CDS suggestions. Explore News Directory 3 to⁣ discover insights into ⁢the ⁢evaluation of ⁤data from⁤ thousands of ‍ED orders, proving the effectiveness of⁢ CDS ‍in⁣ improving geriatric prescribing. Discover what’s next for this crucial⁣ study.

Key Points

Table of Contents

    • Key Points
  • Clinical Decision Support Improves Geriatric Prescribing in Emergency Departments
    • What’s next
    • Further reading
  • Clinical decision⁣ support (CDS) improves medication safety for older adults.
  • EHR-integrated CDS increases adherence‍ to geriatric prescribing guidelines.
  • CDS panel utilization⁣ reached 62.1% for ED orders.

Clinical Decision Support Improves Geriatric Prescribing in Emergency Departments

Updated May 30, 2025

A new study reveals that integrating a ⁢clinical⁢ decision support (CDS) system into electronic health records (EHRs)⁤ significantly boosts adherence to geriatric prescribing recommendations within emergency departments (EDs). This leads to safer medication practices for older patients, reducing the use‍ of potentially inappropriate medications (PIMs).

Researchers analyzed data from 6,745 ED orders during 5,814 patient visits and 1,440 discharge prescriptions ‍for PIMs involving adults 65 and older. The median patient age was 72; approximately 70% were white and⁣ 22.7% were Black. In october 2021, Cleveland Clinic implemented a geriatric CDS system⁢ within its EHR,⁣ offering dosing advice‍ and suggesting option medications⁢ for 12 ⁣high-risk PIMs.

the primary goal⁤ was to assess adherence to CDS recommendations. Secondary goals included evaluating ⁢the use‍ of the CDS panel and adherence rates for specific medications.

Following the implementation ⁣of the clinical decision support system, adherence to geriatric recommendations for targeted PIMs rose from⁣ 52% to⁣ 71% for ED orders and⁤ from 0.5% to 31.7% for discharge prescriptions. The geriatric CDS order panel‍ was used in 62.1% of ED orders and 36.7%⁢ of discharge prescriptions.⁣ Among orders placed using the CDS panels, 90% of ED orders⁣ and 80.4% of discharge prescriptions followed geriatric CDS⁢ recommendations.

Adherence improved for most ED orders, with some exceptions, including‍ diphenhydramine, indomethacin, ketorolac (oral and IV), and ⁣lorazepam.

‍ ⁤”Geriatric clinical decision support implemented in the ED for targeted potentially inappropriate medications significantly increased the proportion of ED orders and discharge prescriptions adherent to geriatric drug ⁢therapy recommendations,” the authors ‍wrote. “As the volume of older patients ⁢in the ED increases, ⁢electronic health⁣ record–based⁤ clinical decision⁤ support can allow for care that is both better ⁣tailored and safer⁣ for ⁤this⁤ vulnerable⁢ population.”
⁢

What’s next

Future ⁢research should consider patient factors ‍such as ethnicity, dementia⁤ history, and language, and also variations in patient ⁣volume and site-specific differences to refine and⁢ optimize clinical decision support⁣ tools further.

Further reading

  • Academic Emergency Medicine‍ Study

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Related

adherence, adherence to medication issues for patients, AI, artificial intelligence, compliance, Deep Learning, drug compliance, elder care, elderly, electronic health records; electronic health record; EHR; electronic health record (EHR), geriatric medicine, geriatrics, Machine learning, ML natural language processing, NPL, older adults, senior citizens, seniors, treatment adherence

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