Evidence map›Paper›PMID 31308781›Full record

ArticleJournal of healthcare leadership2019

Network analysis of the structure of inter-professional knowledge exchange related to Electronic Health Record Medication Reconciliation within a Social Knowledge Networking system.

P Rangachari, K C Dellsperger, R K Rethemeyer

Open access · goldAbstract read
In one paragraph

Article in Journal of healthcare leadership, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 20% 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

5 citing papers in PubMed, 13 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

3 authors at 3 institutions in 1 country.

P RangachariDepartment of Interdisciplinary Health Sciences, College of Allied Health Sciences, Augusta University, Augusta, GA 30912, USA.
K C DellspergerCardiovascular Division, AU Health, Department of Medicine, Medical College of Georgia, Augusta University, Augusta, GA 30912, USA.
R K RethemeyerRockefeller College of Public Affairs and Policy, University at Albany, Albany, NY 12222, USA.
Augusta University · USAugusta University Health · USUniversity at Albany, State University of New York · US

Funding

Using Social Knowledge Networking (SKN) Technology to Enable Meaningful Use of EHR TechnologyR21HS024335 · AHRQ · AUGUSTA UNIVERSITY · PI RANGACHARI, PAVANI · 2016 to 2017
$300k
AHRQ HHS R21 HS024335
6 · The paper itself

Abstract

backgroundIn fall 2016, a 2-year grant was secured to pilot a Social Knowledge Networking (SKN) system pertaining to Electronic Health Record (EHR) Medication Reconciliation (MedRec), to enable Augusta University Health System to progress from "limited use" of EHR MedRec technology, to "meaningful use" (MU). A total of 50 "SKN users" (practitioners), participated in discussing practice issues related to EHR MedRec, over a 1-year period. These discussions were moderated by five "SKN moderators" (senior administrators). The pilot study, completed in fall 2018, found that inter-professional knowledge exchanges on the SKN, enabled several collective learning ("aha") moments to emerge. These learning dynamics in turn, were associated with distinct improvement trends in two measures of MU of EHR MedRec technology, identified for the study. A key takeaway was that an SKN could be a valuable tool in enabling MU of EHR MedRec technology. PURPOSE: The study's key findings related to the content and dynamics of inter-professional knowledge exchange on the SKN system, and their association with trends in measures of MU of EHR MedRec technology, have been described in a separate publication. This paper seeks to describe the structure of inter-professional knowledge exchange (or the pattern of connections) related to EHR MedRec, over the 1-year SKN period.

methodsSocial network analysis (SNA) techniques were used to describe the structure of inter-professional knowledge exchange on the SKN system.

resultsResults revealed that three of the five SKN moderators played a strong "collective brokerage" role in facilitating inter-professional knowledge exchange related to EHR MedRec, to enable learning and practice change. Together, they played complementary roles in reinforcing best-practice assertions, providing IT system education, and synthesizing collective learning moments, to enable "champions for change" to emerge from among SKN users.

conclusionResults provide insight into the structure of effective knowledge-sharing networks for enabling inter-professional learning and practice change in health care organizations.

Indexed as

change implementationelectronic health recordsinter-professional learningmeaningful usemedication reconciliationsocial network analysis

Identifiers

PMID31308781
PMCPMC6613019
OpenAlexW2954158135

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.