Evidence map›Paper›PMID 36060540›Full record

ArticleFrontiers in digital health2022

Challenges and recommendations for high quality research using electronic health records.

K Honeyford, P Expert, E E Mendelsohn, B Post, A A Faisal, B Glampson, E K Mayer, C E Costelloe

Abstract read
In one paragraph

Article in Frontiers in digital health, 2022. 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.

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  20. Antipsychotics, COVID-19, and Secondary Healthcare Databases: Revisiting the Pandemic.The international journal of neuropsychopharmacology · 2024
    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

8 authors.

K HoneyfordGlobal Digital Health Unit, School of Public Health, Imperial College London, London, United Kingdom.
P ExpertGlobal Digital Health Unit, School of Public Health, Imperial College London, London, United Kingdom.
E E MendelsohnGlobal Digital Health Unit, School of Public Health, Imperial College London, London, United Kingdom.
B PostDepartment of Computing, Imperial College London, London, United Kingdom.
A A FaisalDepartment of Computing, Imperial College London, London, United Kingdom.
B GlampsonTranslational Data Analytics and Informatics in Healthcare, Department of Surgery & Cancer, Imperial College London, London, United Kingdom.
E K MayerUKRI Centre for Doctoral Training in AI for Healthcare, Imperial College London, London, United Kingdom.
C E CostelloeGlobal Digital Health Unit, School of Public Health, Imperial College London, London, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Harnessing Real World Data is vital to improve health care in the 21st Century. Data from Electronic Health Records (EHRs) are a rich source of patient centred data, including information on the patient's clinical condition, laboratory results, diagnoses and treatments. They thus reflect the true state of health systems. However, access and utilisation of EHR data for research presents specific challenges. We assert that using data from EHRs effectively is dependent on synergy between researchers, clinicians and health informaticians, and only this will allow state of the art methods to be used to answer urgent and vital questions for patient care. We propose that there needs to be a paradigm shift in the way this research is conducted - appreciating that the research process is iterative rather than linear. We also make specific recommendations for organisations, based on our experience of developing and using EHR data in trusted research environments.

Indexed as

data qualitydigital health, research protocol, real world dataelectronic health recordsresearch ethicstrusted research environment

Identifiers

PMID36060540
PMCPMC9437583

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.