Evidence map›Paper›PMID 25006142›Full record

ArticleHealth affairs (Project Hope)2014

Big data and new knowledge in medicine: the thinking, training, and tools needed for a learning health system.

Harlan M Krumholz

Registry-linked trialAbstract read
In one paragraph

Article in Health affairs (Project Hope), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03810638 (Creation of a Digital Heart Failure Registry Using a Novel Mobile Health Platform), which is not on this map. Cited by 172 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
172citing papers in PubMed, 1 pooled it
–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.

NCT03810638 completednot on this mapstarted 2019, after this paper: background citation

Creation of a Digital Heart Failure Registry Using a Novel Mobile Health Platform: HUGO-HF

Typeobservational_patient_registrySponsorYale UniversityRan2019 to 2019Enrolled85ConditionsHeart Failure
3 · Its place in the literature

Who cites it

172 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  14. Generating Risk Reduction Analytics in Complex Cardiac Care Environments (GRJournal of the Society for Cardiovascular Angiography & Interventions · 2025
    Article
  15. Article
  16. Article
  17. Review
  18. Digital Health Revolution in India: Transforming Health and Medicine.Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine · 2024
    Article
  19. Article
  20. Article

112 more citing papers are in PubMed but not listed here.

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

1 author.

Harlan M KrumholzHarlan M. Krumholz (Harlan.Krumholz@yale.edu) is the Harold H. Hines Jr. Professor of Medicine and Epidemiology and Public Health at the Yale University School of Medicine, in New Haven, Connecticut.

Funding

Center for Cardiovascular Outcomes Research at Yale UniversityU01HL105270 · NHLBI · YALE UNIVERSITY · PI CURTIS, JEPTHA PELHAM, KRUMHOLZ, HARLAN MARC · 2010 to 2013
$5.8M
NHLBI NIH HHS U01 HL105270NHLBI NIH HHS U01 HL105270-04
6 · The paper itself

Abstract

Big data in medicine--massive quantities of health care data accumulating from patients and populations and the advanced analytics that can give those data meaning--hold the prospect of becoming an engine for the knowledge generation that is necessary to address the extensive unmet information needs of patients, clinicians, administrators, researchers, and health policy makers. This article explores the ways in which big data can be harnessed to advance prediction, performance, discovery, and comparative effectiveness research to address the complexity of patients, populations, and organizations. Incorporating big data and next-generation analytics into clinical and population health research and practice will require not only new data sources but also new thinking, training, and tools. Adequately utilized, these reservoirs of data can be a practically inexhaustible source of knowledge to fuel a learning health care system.

Indexed as

Data Interpretation, StatisticalDatasets as TopicDecision Support Systems, ClinicalData MiningDelivery of Health CareHumansLearningMedical InformaticsThinkingInformation TechnologyMedicine/Clinical IssuesResearch And Technology

Identifiers

PMID25006142
PMCPMC5459394

What OpenQuestion holds

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Registered trials

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.