Evidence map›Paper›PMID 42502552›Full record

ArticleCureus2026

Preparing Newly Qualified Doctors for Digital Practice: Addressing the Digital Training Disparity in Medical Education.

Nauman Khan, Ethel Gomez Canales, Komal Khan, Sarvjit S Sahedra

Abstract readEditorial
In one paragraph

Article in Cureus, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Nauman KhanGeriatrics and Acute Medicine, Northampton General Hospital NHS Trust, Northampton, GBR.
Ethel Gomez CanalesGeriatric Medicine, Great Western Hospitals NHS Foundation Trust, Swindon, GBR.
Komal KhanRadiation Oncology, The Christie NHS Foundation Trust, Manchester, GBR.
Sarvjit S SahedraGeneral Internal Medicine, University Hospitals of Leicester NHS Trust, Leicester, GBR.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hospital information systems (HIS) are now integral to the modern healthcare domain. These systems not only record the data in the form of clinical notes but also make the whole process of patient care easy, utilising electronic prescriptions, accessing laboratory results, previous clinical records, and much more. The list of the significance of these digital systems is non-exhaustive. Despite their widespread use in clinical practice, formal education on HIS remains limited within undergraduate medical training. As a result, newly qualified doctors often enter practice with little preparation for the digital environments in which patient care is delivered. This editorial not only explores the reasons for this gap, including traditional curriculum structures, limited faculty expertise, increasing curricular demands, and the assumption that digital competencies can be acquired during clinical practice, but also intends to highlight the need for curriculum revision. It also considers the implications for physician readiness, patient safety, and quality of care, and argues that competency in HIS should be regarded as a fundamental outcome of undergraduate medical education. While core competencies are transferable across healthcare settings, the diversity of HIS adopted by different hospitals and healthcare regions presents an additional challenge, requiring clinicians to adapt to local software platforms and workflows. This also highlights the use of various software due to the market's influence.

Indexed as

digital health educationelectronic health recordshospital information system (his)undergraduate medical curriculumundergraduate medical student

Identifiers

PMID42502552
PMCPMC13401354

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.