Cited by 58Telemedicine and Telehealth ImplementationHealthcare Systems and TechnologyElectronic Health Records Systems

Online consulting in general practice: making the move from disruptive innovation to mainstream service

Marshall, Martin, Shah, Robina, Stokes-Lampard, Helen·2018·BMJ

Abstract

Services must be rigorously evaluated if we are to maximise benefits and minimise risks, say Martin Marshall and colleagues

Integrity signals

Registry

Crossref · 10.1136/bmj.k1195

Cites

13 of 13 references verified0 citation errors · 0 not checkable

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Authors
Marshall, M., Shah, R., & Stokes-Lampard, H.
Affiliations
  • University College London (GB)
  • Royal College of General Practitioners (GB)
Corresponding author
Marshall, Martin
Venue
BMJ
Publisher
BMJ
Published
2018-03-26
Volume
360
Pages
k1195
ISSN
  • 1756-1833 (ISSN-L)
  • 0959-8138
OpenAlex
W2794134423
Cited by
58
References
13
Citations by year
2026: 4 · 2025: 4 · 2024: 4 · 2023: 3 · 2022: 14 · 2021: 11 · 2020: 12 · 2019: 4 · 2018: 1
FWCI
6.66
Type
journal article
Language
en
Open access
closed
Locations
  • BMJ (publishedVersion)
  • PubMed (publishedVersion)
  • UCL Discovery (University College London) (submittedVersion)
  • HighWire Press Open Archive (submittedVersion)
Topics
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Telemedicine and Telehealth Implementation
  • Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Healthcare Systems and Technology
  • Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
Keywords
teleconsultation, general practice, disruptive innovation, telemedicine, service evaluation, primary care, digital health services
MeSH terms
United Kingdom, Humans, Online Systems, Organizational Innovation, State Medicine, United States, Remote Consultation, General Practice

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

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