Evidence map›Paper›PMID 33633520›Full record

ArticlePerspectives in health information managemen2021

Big-Data Skills: Bridging the Data Science Theory-Practice Gap in Healthcare.

Diane Dolezel, Alexander McLeod

Abstract read
In one paragraph

Article in Perspectives in health information managemen, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Experiences in providing a community educational resource for the All of Us Researcher Workbench.Journal of the American Medical Informatics Association : JAMIA · 2024
    Article
  3. Review
  4. 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

2 authors.

Diane Dolezel(dd30@txstate.edu) is assistant profession at the HIM Department of Texas State University in San Marcos.
Alexander McLeod(am@txstate.edu) is an associate professor and department chair at the HIM Department of Texas State University in San Marcos.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Demand for big-data scientists continues to escalate driving a pressing need for new graduates to be more fluent in the big-data skills needed by employers. If a gap exists between the educational knowledge held by graduates and big data workplace skills needed to produce results, workers will be unable to address the big data needs of employers. This survey explores big-data skills in the classroom and those required in the workplace to determine if a skills gap exists for big-data scientists. In this work, data was collected using a national survey of healthcare professionals. Participant responses were analyzed to inform curriculum development, providing valuable information for academics and the industry leaders who hire new data talent.

Indexed as

Big DataData ScienceHumansProfessional CompetenceProfessional Practice GapsUniversitiesanalyticsBig datacurriculumdata scienceHadoopnonrelational healthcareSparkSQLtheory-practice gap

Identifiers

PMID33633520
PMCPMC7883353

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.