Budget Impact of the LungFlag™ Predictive Risk Model for Lung Cancer Screening

Using LungFlag to identify candidates for lung cancer screening was estimated to save US$2.8 million over 5 years from a US commercial health plan perspective, largely attributable to reduced costs of treating advanced NSCLC.

Authors

Institutions

Publication Details

Journal
PharmacoEconomics - Open
Published
2025-12-18
DOI
https://doi.org/10.1007/s41669-025-00627-6
Primary Topic
Lung Cancer Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Budget Impact of the LungFlag™ Predictive Risk Model for Lung Cancer Screening

Eran Choman, Milan Obradović, Sarika Ogale, N. Olghi et al.
PharmacoEconomics - Open
Lung Cancer Diagnosis and Treatment
article

Budget Impact of the LungFlag™ Predictive Risk Model for Lung Cancer Screening

Eran Choman, Milan Obradović, Sarika Ogale, N. Olghi, Michael Gould, Carolina Heuser
article en

Abstract

Using LungFlag to identify candidates for lung cancer screening was estimated to save US$2.8 million over 5 years from a US commercial health plan perspective, largely attributable to reduced costs of treating advanced NSCLC.

PharmacoEconomics - OpenVol. 10(2)
Roche (Switzerland) (CH), Kaiser Permanente (US)
Openalex Percentile: Top 40%
Lung Cancer Diagnosis and Treatment
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.