Evidence map›Paper›PMID 33478839›Full record

ArticleJoint Commission journal on quality and patient safety2021

RADAR: A Closed-Loop Quality Improvement Initiative Leveraging A Safety Net Model for Incidental Pulmonary Nodule Management.

Sonali Desai, Neena Kapoor, Mark M Hammer, Alexandra Levie, Karthik Sivashanker, Ronilda Lacson, Ramin Khorasani

Open access · greenAbstract read
In one paragraph

Article in Joint Commission journal on quality and patient safety, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 16% of its field
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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Incidental Pulmonary Nodules: What Should We Do in 2026?Respiration; international review of thoracic diseases · 2026
    Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Machine Learning Model Drift: Predicting Diagnostic Imaging Follow-Up as a Case Example.Journal of the American College of Radiology : JACR · 2022
    Article
  10. Incidental Pulmonary Nodules - What Do We Know in 2022.Respiration; international review of thoracic diseases · 2022
    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

7 authors.

Sonali Desai
Neena Kapoor
Mark M Hammer
Alexandra Levie
Karthik Sivashanker
Ronilda Lacson
Ramin Khorasani

Funding

Factors that Enhance Diagnostic Imaging Safety in the Ambulatory SettingR01HS024722 · AHRQ · BRIGHAM AND WOMEN'S HOSPITAL · PI LACSON, RONILDA · 2016 to 2020
$1.7M
AHRQ HHS R01 HS024722
6 · The paper itself

Abstract

backgroundThis study was conducted to assess whether patients with incidental pulmonary nodules (IPNs) received timely follow-up care after implementation of a quality improvement (QI) initiative between radiologists and primary care providers (PCPs).

methodsA QI study was conducted at an academic medical center for IPNs identified on chest imaging ordered by PCPs, performed between February 1, 2017, and March 31, 2019, and with at least one-year follow-up. A QI initiative, RADAR (Radiology Result Alert and Development of Automated Resolution), was implemented on March 1, 2018, consisting of (1) a novel, electronic communication tool enabling radiologist-generated alerts with time frame and modality for IPN follow-up recommendations, and (2) a safety net team for centralized care coordination to ensure that communication loops were closed. A preintervention IPN cohort was generated through a natural language processing (NLP) algorithm for radiology reports paired with manual chart review. A postintervention IPN cohort was identified using alerts captured in RADAR. The primary outcome was percentage of IPN follow-up alerts resolved on time (defined as receiving follow-up care within the recommended time frame), comparing pre- and postintervention IPN cohorts. Secondary outcomes included agreement between PCPs and radiologists on the recommended follow-up care plan.

resultsA total of 218 IPN alerts were assessed following exclusions: 110 preintervention and 108 postintervention. IPN timely follow-up improved from 64.5% (71/110) to 84.3% (91/108) (p = 0.001). Postintervention, there was 87.0% (94/108) agreement between PCPs and radiologists on the recommended follow-up plan.

conclusionThe RADAR QI initiative was associated with increased timely IPN follow-up. This safety net model may be scaled to other radiology findings and clinical care settings.

Indexed as

Quality ImprovementRadiologyAftercareCohort StudiesDiagnostic ImagingHumansIncidental Findings

Identifiers

PMID33478839
PMCPMC12787323
OpenAlexW3117936981

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.