Evidence map›Paper›PMID 25848616›Full record

ArticleEGEMS (Washington, DC)2014

Developing a communitywide electronic health record disease registry in primary care practices: lessons learned from the Western new york beacon community.

Arvela R Heider, Nancy A Maloney, Nikhil Satchidanand, Geoffrey M Allen, Raymond Mueller, Steven Gangloff, Ranjit Singh

Open access · diamondAbstract read
In one paragraph

Article in EGEMS (Washington, DC), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 pooled it
1.1field-weighted citation impact, top 23% 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

7 citing papers in PubMed, 2 syntheses or guidelines pooled it, 11 citations in OpenAlex.

  1. Pooled it
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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

7 authors at 2 institutions in 1 country.

Arvela R HeiderCanisius College.
Nancy A MaloneyHEALTHeLINK.
Nikhil SatchidanandUniversity at Buffalo.
Geoffrey M AllenUniversity at Buffalo.
Raymond MuellerHEALTHeLINK.
Steven GangloffUniversity at Buffalo.
Ranjit SinghUniversity at Buffalo.
University at Buffalo, State University of New York · USCanisius College · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

introductionDisease registries, as part of electronic health records (EHRs), have shown promise in improving care and outcomes. However, little is known about how best to implement them across communities, especially in communities that are not highly integrated. The Western New York (WNY) primary care community consists largely of independent practices using at least 20 different EHR products. This paper discusses the processes undertaken to develop a communitywide EHR disease registry in WNY, improvements it engendered, barriers overcome, and the lessons learned.

methodsHEALTHeLINK, under the Office of the National Coordinator for Health Information Technology Beacon Community Initiative, reached out to 98 primary care practices in the WNY region to establish EHR-based diabetes registries. Working with practices, community partners, and vendors, registry specifications were created. The registry was piloted with practices using one local vendor's EHR product and then rolled out to other practices, including five other EHR products. Using identified and de-identified registry datasets, quality benchmarking within and between practices and population health management were undertaken.

findingsFrom 2011 to 2013, the WNY Beacon Community assisted 98 practices (344 providers) serving over 50,000 adult diabetic patients. A major focus was on EHR registry development across diverse systems, and overcoming the challenges this presented. The Beacon diabetes registry was implemented at 85 of the 98 targeted practices. Of these registries, 65 met the criteria described in a later section for quality benchmarking and population health management purposes. Practices received quarterly benchmark reports summarizing their performance on key diabetes quality metrics and were compared to community practice averages. Practices used their registries for population health management by identifying and targeting patients in need of follow-up or specific diabetes-related care. DISCUSSION AND

conclusionThe creation of the registry infrastructure required unified registry technical specifications as well as close collaboration between all parties involved. The WNY experience showed that a useful disease registry can be established in a community largely consisting of numerous disparate primary care practices. This laid the groundwork for the future use of EHR data for a variety of purposes in the community. The methods used and lessons learned through this endeavor may benefit other communities in a similar position, with several disconnected EHRs, to establish unified registries.

Indexed as

Health Information TechnologyPlatformsQuality Improvement

Identifiers

PMID25848616
PMCPMC4371451
OpenAlexW2003983044

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.