Evidence map›Paper›PMID 25848560›Full record

ArticleEGEMS (Washington, DC)2013

Development and Implementation of an Electronic Decision Support to Manage the Health of a High-Risk Population: The enhanced Electronic Medical Record Aging Brain Care Software (eMR-ABC).

Amie Frame, Michael LaMantia, Bharath B Reddy Bynagari, Paul Dexter, Malaz Boustani

Open access · diamondAbstract read
In one paragraph

Article in EGEMS (Washington, DC), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

12 citing papers in PubMed, 26 citations in OpenAlex.

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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 3 institutions in 1 country.

Amie FrameIndiana University ; Regenstrief Institute.
Michael LaMantiaIndiana University ; Regenstrief Institute ; Indiana University School of Medicine;
Bharath B Reddy BynagariMavensphere, Inc.
Paul DexterRegenstrief Institute ; Indiana University School of Medicine; ; Wishard Health Services.
Malaz BoustaniIndiana University ; Regenstrief Institute.
Indiana University · USIndiana University School of MedicineRegenstrief Institute · US

Funding

Indiana PROSPECTR01HS019818 · AHRQ · INDIANA UNIVERSITY INDIANAPOLIS · PI DEXTER, PAUL · 2010 to 2010
$8.4M
Indianapolis Interventions and Practice Research Infrastructure ProgramR24MH080827 · NIMH · INDIANA UNIVERSITY INDIANAPOLIS · PI CALLAHAN, CHRISTOPHER M · 2008 to 2012
$3.1M
AHRQ HHS R01 HS019818NIMH NIH HHS R24 MH080827
6 · The paper itself

Abstract

introductionHealth care systems in the United States are transitioning from volume-based purchasing models to value-based purchasing models that demand both delivery of personalized care for each patient and cost-effective population health management. The enhanced medical record for aging brain care (eMR-ABC) software is an electronic decision support system that facilitates the management of a high-risk population suffering from aging brain disorders such as dementia.

methodsUsing the lenses of the Complex Adaptive System and the Reflective Adaptive Process, we assembled an interdisciplinary team of clinicians, health services researchers, and software developers who designed, implemented, evaluated, and continuously modified the eMR-ABC to meet the needs of care coordinators who manage the health of a targeted high-risk population.

resultsThe eMR-ABC captures and monitors the cognitive, functional, behavioral, and psychological symptoms of a registry of patients suffering from dementia or depression as well as the burden of patients' family caregivers. It provides decision support to care coordinators to create a personalized care plan that includes evidence-based nonpharmacological protocols, self-management handouts, and alerts of medications with potentially adverse cognitive effects. The software's built-in engine tracks patient visits and on-demand functionality to generate population reports for specified indicators. DISCUSSION: Population health programs depend on data collection and information systems with the ability to provide valuable and timely feedback on an ongoing basis. Following these guidelines, the eMR-ABC was designed specifically to meet the management needs of a high-risk population.

Indexed as

decision supportevidence based medicinehealth information technologyIndiana PROSPECTInformatics

Identifiers

PMID25848560
PMCPMC4371521
OpenAlexW2171283966

What OpenQuestion holds

Textmetadata
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.