Evidence map›Paper›PMID 25785640›Full record

ArticleThe Permanente journal2015

Big data, miniregistries: a rapid-turnaround solution to get quality improvement data into the hands of medical specialists.

Lisa J Herrinton, Liyan Liu, Andrea Altschuler, Richard Dell, Violeta Rabrenovich, Amy L Compton-Phillips

Open access · bronzeAbstract read
In one paragraph

Article in The Permanente journal, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

0 citing papers in PubMed, 6 citations in OpenAlex.

No citing paper in PubMed yet.

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

6 authors at 6 institutions in 5 countries.

Lisa J HerrintonResearch Scientist for the Division of Research in Oakland, CA. lisa.herrinton@kp.org.
Liyan LiuSenior Data Consultant for the Division of Research in Oakland, CA. liyan.liu@kp.org.
Andrea AltschulerResearch Project Manager for the Division of Research in Oakland, CA. andrea.altschuler@kp.org.
Richard DellOrthopedist at the Downey Medical Center in CA. richard.m.dell@kp.org.
Violeta RabrenovichDirector of Medical Group Performance Improvement for The Permanente Federation in Oakland, CA. violeta.rabrenovich@kp.org.
Amy L Compton-PhillipsAssociate Executive Director for The Permanente Federation in Oakland, CA. amy.l.compton-phillips@kp.org.
Alta Bates Summit Medical Center · USColorado Permanente Medical Group · USKaiser Permanente · USLaboratoire d'Informatique en Images et Systèmes d'Information · FROffice of the Chief Scientist · ILRancho Los Amigos National Rehabilitation Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The cost to build and to maintain traditional registries for many dire, complex, low-frequency conditions is prohibitive. The authors used accessible technology to develop a platform that would generate miniregistries (small, routinely updated datasets) for surveillance, to identify patients who were missing elected utilization and to influence clinicians to change practices to improve care. The platform, tested in 5 medical specialty departments, enabled the specialists to rapidly and effectively communicate clinical questions, knowledge of disease, clinical workflows, and improve opportunities. Each miniregistry required 1 to 2 hours of collaboration by a specialist. Turnaround was 1 to 14 days.

Indexed as

Data AccuracyQuality ImprovementEducation, Medical, ContinuingHumansRegistriesReproducibility of Results

Identifiers

PMID25785640
PMCPMC4403576
OpenAlexW2127553301

What OpenQuestion holds

Textmetadata
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.