Evidence map›Paper›PMID 33500755›Full record

ReviewMethodist DeBakey cardiovascular journal

Big Data and Digital Solutions: Laying the Foundation for Cardiovascular Population Management

Khurram Nasir, Zulqarnain Javed, Safi U Khan, Stephen L Jones, Julia Andrieni

Abstract readReview
In one paragraph

Review in Methodist DeBakey cardiovascular journal. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Review
  6. Review
  7. Article
  8. 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

5 authors.

Khurram NasirHOUSTON METHODIST DEBAKEY HEART & VASCULAR CENTER, HOUSTON, TEXAS.
Zulqarnain JavedHOUSTON METHODIST DEBAKEY HEART & VASCULAR CENTER, HOUSTON, TEXAS.
Safi U KhanWEST VIRGINIA UNIVERSITY, MORGANTOWN, WEST VIRGINIA.
Stephen L JonesHOUSTON METHODIST RESEARCH INSTITUTE, HOUSTON METHODIST HOSPITAL, HOUSTON, TEXAS.
Julia AndrieniHOUSTON METHODIST HOSPITAL, HOUSTON, TEXAS.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There are huge gaps in evidence-based cardiovascular care at the national, organizational, practice, and provider level that can be attributed to variation in provider attitudes, lack of incentives for positive change and care standardization, and observed uncertainty in clinical decision making. Big data analytics and digital application platforms-such as patient care dashboards, clinical decision support systems, mobile patient engagement applications, and key performance indicators-offer unique opportunities for value-based healthcare delivery and efficient cardiovascular population management. Successful implementation of big data solutions must include a multidisciplinary approach, including investment in big data platforms, harnessing technology to create novel digital applications, developing digital solutions that can inform the actions of clinical and policy decision makers and relevant stakeholders, and optimizing engagement strategies with the public and information-empowered patients.

Indexed as

Big DataDelivery of Health Care, IntegratedEvidence-Based MedicinePopulation Health ManagementTelemedicineCardiovascular DiseasesHumansbig datalearning system modelpopulation health

Identifiers

PMID33500755
PMCPMC7812845

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.