Evidence map›Paper›PMID 28269940›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2016

Model Guided Design and Development Process for an Electronic Health Record Training Program.

Ze He, Jenna Marquard, Elizabeth Henneman

Abstract read
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2016. 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
–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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Association between evidence-based training and clinician proficiency in electronic health record use.Journal of the American Medical Informatics Association : JAMIA · 2021
    Article
  4. Article
  5. 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

3 authors.

Ze HeDepartment of Mechanical and Industrial Engineering, University of Massachusetts Amherst, Amherst, MA; College of Computer and Information Sciences, University of Massachusetts Amherst, Amherst, MA.
Jenna MarquardCollege of Computer and Information Sciences, University of Massachusetts Amherst, Amherst, MA.
Elizabeth HennemanCollege of Computer and Information Sciences, University of Massachusetts Amherst, Amherst, MA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Effective user training is important to ensure electronic health record (EHR) implementation success. Though many previous studies report best practice principles and success and failure stories, current EHR training is largely empirically-based and often lacks theoretical guidance. In addition, the process of training development is underemphasized and underreported. A white paper by the American Medical Informatics Association called for models of user training for clinical information system implementation; existing instructional development models from learning theory provide a basis to meet this call. We describe in this paper our experiences and lessons learned as we adapted several instructional development models to guide our development of EHR user training. Specifically, we focus on two key aspects of this training development: training content and training process.

Indexed as

Electronic Health RecordsModels, EducationalHumansMedical InformaticsNursing Informatics

Identifiers

PMID28269940
PMCPMC5333298

What OpenQuestion holds

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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.