Evidence map›Paper›PMID 35415421›Full record

ArticleJournal of healthcare informatics research2019

Large-Scale Data Mining to Optimize Patient-Centered Scheduling at Health Centers.

Kislaya Kunjan, Huanmei Wu, Tammy R Toscos, Bradley N Doebbeling

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of healthcare informatics research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

1 citing paper in PubMed.

  1. Article
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

4 authors.

Kislaya KunjanPresent Address: Indiana Primary Health Care Association, 429 N Pennsylvania St, Suite 333, Indianapolis, IN 46204 USA.ORCID 0000-0003-3645-375X
Huanmei WuDepartment of BioHealth Informatics, Indiana University School of Informatics and Computing, 535 W Michigan St, Indianapolis, IN 46202 USA.
Tammy R ToscosDepartment of BioHealth Informatics, Indiana University School of Informatics and Computing, 535 W Michigan St, Indianapolis, IN 46202 USA.
Bradley N DoebbelingScience of Health Care Delivery and Biomedical Informatics, College of Health Solutions, Arizona State University, Phoenix, AZ USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patient-centered appointment access is of critical importance at community health centers (CHCs) and its optimal implementation entails the use of advanced data analytics. This study seeks to optimize patient-centered appointment scheduling through data mining of Electronic Health Record/Practice Management (EHR/PM) systems. Data was collected from different EHR/PM systems in use at three CHCs across the state of Indiana and integrated into a multidimensional data warehouse. Data mining was performed using decision tree modeling, logistic regression, and visual analytics combined with

Indexed as

Community health centersData miningDecision tree modelingLogistic regressionOpen-access schedulingVisual analytics

Identifiers

PMID35415421
PMCPMC8982679

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.