Evidence map›Paper›PMID 40490366›Full record

ArticleBMJ open2025

Prevalence and types of errors in the electronic health record: protocol for a mixed systematic review.

Anna Kharko, Maria Hägglund, Dafina Angelova, Therese Scott Duncan, Josefin Hagström, Kirralise Hansford, Joanne Hunt, Ylva Trolle Lagerros, Cosima Locher, Brian McMillan and 5 more

Abstract read
In one paragraph

Article in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

15 authors.

Anna KharkoDepartment of Women and Children's Health, Uppsala University, Uppsala, Sweden anna.kharko@uu.se.ORCID http://orcid.org/0000-0003-0908-6173
Maria HägglundDepartment of Women and Children's Health, Uppsala University, Uppsala, Sweden.
Dafina AngelovaDepartment of Obstetrics and Gynaecology, NIHR Cambridge Biomedical Research Centre, Cambridge, UK.
Therese Scott DuncanDepartment of Women and Children's Health, Uppsala University, Uppsala, Sweden.
Josefin HagströmDepartment of Women and Children's Health, Uppsala University, Uppsala, Sweden.
Kirralise HansfordNuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, UK.
Joanne HuntDepartment of Women and Children's Health, Uppsala University, Uppsala, Sweden.
Ylva Trolle LagerrosDepartment of Endocrinology, Metabolism and Diabetes, Karolinska University Hospital, Stockholm, Sweden.
Cosima LocherDepartment of Consultation-Liaison Psychiatry and Psychosomatic Medicine, University Hospital Zurich, Zürich, Switzerland.ORCID http://orcid.org/0000-0002-9660-0590
Brian McMillanCentre for Primary Care and Health Services Research, The University of Manchester, Manchester, UK.ORCID http://orcid.org/0000-0002-0683-3877
Asha-Judy NivinsDepartment of Women and Children's Health, Uppsala University, Uppsala, Sweden.
Sophie Anna RoschDepartment of Consultation-Liaison Psychiatry and Psychosomatic Medicine, University Hospital Zurich, Zürich, Switzerland.
Julian SchwarzImmanuel Klinik Rüdersdorf, Rudersdorf, Germany.ORCID http://orcid.org/0000-0001-7306-7909
Saija SimolaDepartment of Computer Science, Aalto University, Aalto, Finland.
Charlotte BleaseDepartment of Women and Children's Health, Uppsala University, Uppsala, Sweden.ORCID http://orcid.org/0000-0002-0205-1165

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionIn countries with access to the electronic health record (EHR), both patients and healthcare professionals have reported finding errors in the EHR, so-called EHRrors. These can range from simple typos to more serious cases of missing or incorrect health information. Despite their potential detrimental effect, the evidence on EHRrors has not been systematically analysed. It is unknown how common EHRrors are or how they impact patients and healthcare professionals. METHODS AND ANALYSIS: A mixed systematic review will be carried out to address the research gap. We will search PubMed, Web of Science and CINAHL for studies published since 2000, which report original research data on patient-identified and healthcare professional-identified EHRrors. We will analyse (1) the prevalence of EHRrors, (2) the types of EHRrors and (3) their impact on care. Quantitative and qualitative findings will be synthesised following the Joanna Briggs Institute Framework for Mixed Systematic Reviews. Identified studies will be critically appraised for meta-biases and risk of bias in individual studies. The confidence in the emerging evidence will be further assessed through the Grading of Recommendations Assessment, Development and Evaluation approach. Findings will be contextualised and interpreted involving an international team of patient representatives and practising healthcare professionals. ETHICS AND DISSEMINATION: The study will not involve collection or analysis of individual patient data; thus, ethical approval is not required. Results will be published in a peer-reviewed publication and further disseminated through scientific events and educational materials. PROSPERO REGISTRATION NUMBER: CRD42024622849.

Indexed as

Electronic Health RecordsMedical ErrorsHumansPrevalenceResearch DesignSystematic Reviews as TopicDelivery of Health Care, IntegratedeHealthElectronic Health RecordsGENERAL MEDICINE (see Internal Medicine)Health & safetySystematic Review

Identifiers

PMID40490366
PMCPMC12161391

What OpenQuestion holds

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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.