Evidence map›Paper›PMID 30670000›Full record

ArticleBMC medical education2019

Using electronic patient records: defining learning outcomes for undergraduate education.

S K Pontefract, K Wilson

Abstract read
In one paragraph

Article in BMC medical education, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Digital literacy in undergraduate pharmacy education: a scoping review.Journal of the American Medical Informatics Association : JAMIA · 2024
    Article
  6. Article
  7. Article
  8. Clinical informatics training in medical school education curricula: a scoping review.Journal of the American Medical Informatics Association : JAMIA · 2023
    Article
  9. Implementation of a digital health module for undergraduate medical students: A comparative study on knowledge and attitudes.Technology and health care : official journal of the European Society for Engineering and Medicine · 2023
    Article
  10. Article
  11. Article
  12. Observational
  13. Electronic Health Records in Pharmacy Skills-based Curricula.American journal of pharmaceutical education · 2021
    Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. 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.

S K PontefractSchool of Pharmacy, College of Medical and Dental Sciences, University of Birmingham, Institute of Clinical Sciences, Birmingham, B15 2TT, UK.
K WilsonManchester Medical School, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, M13 9PL, UK. kurt.wilson@manchester.ac.uk.ORCID http://orcid.org/0000-0002-2809-1122

Funding

Department of Health DRF-2013-06-003
6 · The paper itself

Abstract

backgroundHealthcare professionals are required to access, interpret and generate patient data in the digital environment, and use this information to deliver and optimise patient care. Healthcare students are rarely exposed to the technology, or given the opportunity to use this during their training, which can impact on the digital competence of the graduating workforce. In this study we set out to develop and define domains of competence and associated learning outcomes needed by healthcare graduates to commence working in a digital healthcare environment.

methodA National Working Group was established in the UK to integrate Electronic Patient Records (EPRs) into undergraduate education for healthcare students studying medicine, pharmacy, nursing and midwifery. The working group, comprising 12 academic institutions and representatives from NHS England, NHS Digital and EPR system providers, met to discuss and document key learning outcomes required for using EPRs in the healthcare environment. Outcomes were grouped into six key domains and refined by the group prior to external review by experts working in medical education or with EPRs.

resultsSix key domains of competence and associated learning outcomes were identified and defined. External expert review provided iterative refinement and amendment. The agreed domains were: 1) Digital Health: work as a practitioner in the digital healthcare environment; 2) Accessing Data: access and interpret patient data to inform clinical decision-making; 3) Communication: communicate effectively with healthcare professionals and patients in the digital environment; 4) Generating data: generate data for and about patients within the EPR; 5) Multidisciplinary working: work with healthcare professionals with and alongside EPRs; and 6) Monitoring and audit: monitor and improve the quality and safety of healthcare.

conclusionThe six domains of competence and associated learning outcomes can be used by academics to guide the integration of EPRs into undergraduate healthcare programmes. This is key to ensuring that the future healthcare workforce can work with and alongside EPRs.

Indexed as

Clinical CompetenceEducational MeasurementEducation, Medical, UndergraduateElectronic Health RecordsCurriculumDiffusion of InnovationHealth Services ResearchHumansMedical InformaticsMedical Records Systems, ComputerizedElectronic patient recordElectronic prescribingMedical educationUndergraduate

Identifiers

PMID30670000
PMCPMC6341543

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.