Acute Care Utilization Patterns During Chemotherapy and Predictive Model Development at a Rural Community Cancer Center

Our models effectively identify patients at high risk for ACU using routinely collected data and validate known risk factors in a large rural oncology population. Future work should integrate these tools into practice and address rural-specific challenges to reduce ACU during chemotherapy.

Authors

Institutions

Publication Details

Journal
JCO Clinical Cancer Informatics
Published
2025-11-01
DOI
https://doi.org/10.1200/cci-25-00186
Primary Topic
Neutropenia and Cancer Infections
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Acute Care Utilization Patterns During Chemotherapy and Predictive Model Development at a Rural Community Cancer Center

Crystal Hattum, Jamie Arens, Tobias Meißner, Mary Perrin
JCO Clinical Cancer Informatics
Neutropenia and Cancer Infections
article

Acute Care Utilization Patterns During Chemotherapy and Predictive Model Development at a Rural Community Cancer Center

Crystal Hattum, Jamie Arens, Tobias Meißner, Mary Perrin
article en

Abstract

Our models effectively identify patients at high risk for ACU using routinely collected data and validate known risk factors in a large rural oncology population. Future work should integrate these tools into practice and address rural-specific challenges to reduce ACU during chemotherapy.

JCO Clinical Cancer InformaticsVol. 9(9)
Avera Health (US)
Openalex Percentile: Top 53%
Neutropenia and Cancer Infections
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.