Evidence map›Paper›PMID 28852846›Full record

ReviewRheumatology international2017

Leveraging the electronic health record to improve quality and safety in rheumatology.

Gabriela Schmajuk, Jinoos Yazdany

Abstract readReview
In one paragraph

Review in Rheumatology international, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–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

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Observational
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. 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

2 authors.

Gabriela SchmajukDivision of Rheumatology, Department of Medicine, University of California, San Francisco, USA. gabriela.schmajuk@ucsf.edu.ORCID http://orcid.org/0000-0003-2687-5043
Jinoos YazdanyDivision of Rheumatology, Department of Medicine, University of California, San Francisco, USA.

Funding

RESOURCE-BASED CENTER FOR THE ADVANCEMENT OF PRECISION MEDICINE IN RHEUMATOLOGYP30AR070155 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Mary C Nakamura · 2016 to 2026
$8.2M
ASPIRE: Advancing Safety Process Innovation in RheumatologyR01HS024412 · AHRQ · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI YAZDANY, JINOOS · 2015 to 2017
$1.4M
A rational approach to liver toxicity monitoring in methotrexate usersK23AR063770 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI SCHMAJUK, GABRIELA · 2013 to 2017
$670k
AHRQ HHS R01 HS024412NIAMS NIH HHS K23 AR063770NIAMS NIH HHS P30 AR070155
6 · The paper itself

Abstract

During the last two decades, improving the quality and safety of healthcare has become a focus in rheumatology. Widespread use of electronic health records (EHRs) and the availability of digital data have the potential to drive quality improvement, improve patient outcomes, and prevent adverse events. In the coming years, developing and leveraging tools within the EHR will be the key to making the next big strides in improving the health of patients with rheumatoid arthritis and other rheumatic diseases, including building EHR infrastructure to capture patient outcomes and developing automated methods to retrieve information from free text of clinical notes.

Indexed as

Electronic Health RecordsHumansQuality ImprovementQuality of Health CareRheumatic DiseasesRheumatologyClinical informaticsPatient reported outcomesQuality of careRheumatoid arthritis

Identifiers

PMID28852846
PMCPMC5693630

What OpenQuestion holds

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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.