Evidence map›Paper›PMID 30559971›Full record

ArticleMultiple sclerosis journal - experimental, translational and clinical

Successful utilization of the EMR in a multiple sclerosis clinic to support quality improvement and research initiatives at the point of care.

Kelly Claire Simon, Afif Hentati, Susan Rubin, Tiffani Franada, Darryck Maurer, Laura Hillman, Samuel Tideman, Monika Szela, Steven Meyers, Roberta Frigerio and 1 more

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Article in Multiple sclerosis journal - experimental, translational and clinical. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
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

8 citing papers in PubMed.

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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

11 authors.

Kelly Claire SimonDepartment of Neurology, NorthShore University HealthSystem, USA.ORCID https://orcid.org/0000-0001-6689-6266
Afif HentatiDepartment of Neurology, NorthShore University HealthSystem, USA.
Susan RubinDepartment of Neurology, NorthShore University HealthSystem, USA.
Tiffani FranadaDepartment of Neurology, NorthShore University HealthSystem, USA.
Darryck MaurerHealth Information Technology, NorthShore University HealthSystem, USA.
Laura HillmanHealth Information Technology, NorthShore University HealthSystem, USA.
Samuel TidemanDepartment of Neurology, NorthShore University HealthSystem, USA.
Monika SzelaDepartment of Neurology, NorthShore University HealthSystem, USA.
Steven MeyersDepartment of Neurology, NorthShore University HealthSystem, USA.
Roberta FrigerioDepartment of Neurology, NorthShore University HealthSystem, USA.
Demetrius M MaraganoreDepartment of Neurology, NorthShore University HealthSystem, USA.

Funding

AHRQ HHS R01 HS024057
6 · The paper itself

Abstract

backgroundMany physicians enter data into the electronic medical record (EMR) as unstructured free text and not as discrete data, making it challenging to use for quality improvement or research initiatives.

objectivesThe objective of this research paper was to develop and implement a structured clinical documentation support (SCDS) toolkit within the EMR to facilitate quality initiatives and practice-based research in a multiple sclerosis (MS) practice.

methodsWe built customized EMR toolkits to capture standardized data at office visits. Content was determined through physician consensus on necessary elements to support best practices in treating patients with demyelinating disorders. We also developed CDS tools and best practice advisories within the toolkits to alert physicians when a quality improvement opportunity exists, including enrollment into our DNA biobanking study at the point of care.

resultsWe have used the toolkit to evaluate 541 MS patients in our clinic and begun collecting longitudinal data on patients who return for annual visits. We provide a description and example screenshots of our toolkits, and a brief description of our cohort to date.

conclusionsThe EMR can be effectively structured to standardize MS clinic office visits, capture data, and support quality improvement and practice-based research initiatives at the point of care.

Indexed as

Best practicesclinical decision supportclinically isolated syndromecohort studieselectronic health recordsmultiple sclerosisquality improvementstructured clinical documentation support

Identifiers

PMID30559971
PMCPMC6293369

What OpenQuestion holds

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Registered trials

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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.