Evidence map›Paper›PMID 37051093›Full record

ArticleJAMIA open2023

Use of the electronic medical record to screen for high-risk geriatric patients in the emergency department.

Saket Saxena, Stephen Meldon, Ardeshir Z Hashmi, McKinsey Muir, Jeffrey Ruwe

Open access · goldAbstract read
In one paragraph

Article in JAMIA open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
5.2field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
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  8. Team-based, Multidisciplinary Care in the Emergency Department.Emergency medicine clinics of North America · 2025
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Saket SaxenaCenter for Geriatric Medicine, Cleveland Clinic, Cleveland, Ohio, USA.ORCID https://orcid.org/0000-0003-4084-7954
Stephen MeldonEmergency Service Institute, Cleveland Clinic, Cleveland, Ohio, USA.
Ardeshir Z HashmiCenter for Geriatric Medicine, Cleveland Clinic, Cleveland, Ohio, USA.
McKinsey MuirEmergency Service Institute, Cleveland Clinic, Cleveland, Ohio, USA.
Jeffrey RuweEmergency Service Institute, Cleveland Clinic, Cleveland, Ohio, USA.
Cleveland Clinic · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Older adults with multimorbidities have the highest rate of emergency department (ED) usage. These patients are typically on numerous medications, may have underlying dementia, and often present with falls and delirium. Identifying these high-risk older adults for possible intervention is challenging in the ED setting since available screening methods are manual and resource-intensive. The objective is to study the electronic medical record (EMR) use for identifying high-risk older adults in ED. This feasibility study is conducted in an academic ED with 67 000 total and 24% geriatric (age ≥ 65 years) annual visits, American College of Emergency Physician (ACEP) accredited Level 1 Geriatric Emergency Department with an ED-based geriatric consultation program by incorporating criteria from existing manual geriatric screening instruments and the 4M framework into an automated EMR screen to identify high-risk geriatric patients. ED providers are then alerted by an EMR Best Practice Alert (BPA) if high-risk status is identified. Initial development and impact on geriatric ED consults are reported. During the study period, 7450 patient encounters occurred; 1836 (24.6%) encounters involved patients who were 65 years or older. A total of 1398 (76.1%) high-risk ED encounters resulted in BPA alerts using the EMR automated screen. BPA alerts resulted in 82 (5.9%) geriatric evaluations. We conclude that using the EMR to automate screening for older adults for high-risk geriatric conditions in the ED is feasible. An automated EMR screen with a BPA to ED providers identified a well-defined cohort of older patients appropriate for further ED geriatric evaluation.

Indexed as

automated screeningelectronic medical recordgeriatric emergency department

Identifiers

PMID37051093
PMCPMC10085629
OpenAlexW4363651894

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.