Evidence map›Paper›PMID 28469833›Full record

ArticleEuropean clinical respiratory journal2017

Use of electronic medical records and biomarkers to manage risk and resource efficiencies.

Dermot Ryan, John Blakey, Alison Chisholm, David Price, Mike Thomas, Björn Ställberg, Karin Lisspers, Janwillem W H Kocks, Respiratory Effectiveness Group

Abstract read
In one paragraph

Article in European clinical respiratory journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Personalized medicine for patients with COPD: where are we?International journal of chronic obstructive pulmonary disease · 2019
    Review
  8. Asthma Across Age: Insights From Primary Care.Frontiers in pediatrics · 2019
    Review
  9. 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

9 authors.

Dermot RyanUsher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK.
John BlakeyClinical Sciences, Liverpool School of Tropical Medicine, and Respiratory Medicine, Royal Liverpool Hospital, Liverpool, UK.
Alison ChisholmRespiratory Effectiveness Group, Cambridge, UK.
David PriceRespiratory Effectiveness Group, Cambridge, UK.
Mike ThomasPrimary Care and Population Sciences, Faculty of Medicine, University of Southampton, Southampton, UK.
Björn StällbergDepartment of Public Health and Caring Science, Family Medicine and Preventive Medicine, Uppsala University, Uppsala, Sweden.
Karin LisspersDepartment of Public Health and Caring Science, Family Medicine and Preventive Medicine, Uppsala University, Uppsala, Sweden.
Janwillem W H KocksDepartment of General Practice and Research Institute for Asthma and COPD (GRIAC), University of Groningen, University Medical Center Groningen, Groningen, the Netherlands.
Respiratory Effectiveness Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The migration from paper to electronic medical records (EMRs) was motivated by the administrative need to record, retrieve and process increasing amounts of clinical data in the 1980s. In the intervening period, there has been growing recognition of the potential of such records for achieving care efficiencies, informing clinical decision making and real-life research. EMRs can be used to characterise patient groups, management approaches and differential outcomes. Characterisation can also help with identification of potential biomarkers for future risk determination and likely treatment response. The future heralds even greater opportunities through integration of clinical records and a range of technology-based solutions within a more complete electronic health record (EHR). Through application of algorithms based on identified risk predictors and disease determinants, clinical records could also be used to enable risk stratification of patients to optimise targeted interventions, conserving resources to achieve individual patient and system-wide benefit. In this review, we reflect on the evolution of the EMR and EHR and discuss current and emerging opportunities, particularly with respect to biomarkers and targeting of innovative biologic interventions. We also consider some of the critical issues associated with realising the potential of the EHR as a clinical aid and research tool in an age of emerging technologies.​​​​.

Indexed as

asthmabiomarkerCDSS, big datadatabaseelectronic health record (EHR)Electronic medical record (EMR)primary care​​​​

Identifiers

PMID28469833
PMCPMC5404653

What OpenQuestion holds

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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.