Evidence map›Paper›PMID 27830253›Full record

ArticleYearbook of medical informatics2016

Clinical Research Informatics for Big Data and Precision Medicine.

C Weng, M G Kahn

Abstract read
In one paragraph

Article in Yearbook of medical informatics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Clinical Research Informatics: a Decade-in-Review.Yearbook of medical informatics · 2024
    Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Preventing pediatric chronic postsurgical pain: Time for increased rigor.Canadian journal of pain = Revue canadienne de la douleur · 2022
    Review
  8. Observational
  9. Article
  10. Update on Data Reuse in Health Care.Yearbook of medical informatics · 2017
    Review
  11. Review
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

2 authors.

C WengChunhua Weng, PhD, FACMI, Department of Biomedical Informatics, Columbia University, 622 W 168 Street, PH-20, New York, NY 10032, USA, E-mail: chunhua@columbia.edu.
M G Kahn

Funding

Clinical and Translational Science AwardUL1TR001873 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI REILLY, MUREDACH P · 2016 to 2025
$99.0M
Bridging the Semantic Gap Between Research Eligibility Criteria and Clinical DataR01LM009886 · NLM · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI WENG, CHUNHUA · 2009 to 2020
$5.3M
NCATS NIH HHS UL1 TR001873NLM NIH HHS R01 LM009886
6 · The paper itself

Abstract

objectivesTo reflect on the notable events and significant developments in Clinical Research Informatics (CRI) in the year of 2015 and discuss near-term trends impacting CRI.

methodsWe selected key publications that highlight not only important recent advances in CRI but also notable events likely to have significant impact on CRI activities over the next few years or longer, and consulted the discussions in relevant scientific communities and an online living textbook for modern clinical trials. We also related the new concepts with old problems to improve the continuity of CRI research.

resultsThe highlights in CRI in 2015 include the growing adoption of electronic health records (EHR), the rapid development of regional, national, and global clinical data research networks for using EHR data to integrate scalable clinical research with clinical care and generate robust medical evidence. Data quality, integration, and fusion, data access by researchers, study transparency, results reproducibility, and infrastructure sustainability are persistent challenges.

conclusionThe advances in Big Data Analytics and Internet technologies together with the engagement of citizens in sciences are shaping the global clinical research enterprise, which is getting more open and increasingly stakeholder-centered, where stakeholders include patients, clinicians, researchers, and sponsors.

Indexed as

Biomedical ResearchMedical InformaticsPrecision MedicineData MiningDatasets as TopicElectronic Health RecordsHumansInternetdata bankdata qualityelectronic health recordsEvidence-based medicineindividualized medicinelearning health systempatient selection

Identifiers

PMID27830253
PMCPMC5171548

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.