Feasibility of assessing symptoms associated with ovarian cancer using an electronic medical intake questionnaire

Implementing a SI using the EMR is feasible but is influenced by the presence of pre-existing diagnoses. The effectiveness of an EMR-based SI pre-screen as a selection criterion for early detection requires further study and assessment of frequency and duration of symptoms should be considered.

Authors

Institutions

Publication Details

Journal
Gynecologic Oncology Reports
Published
2025-04-09
DOI
https://doi.org/10.1016/j.gore.2025.101739
Citations
1
Primary Topic
Ovarian cancer diagnosis and treatment
Type
article
Field-Weighted Citation Impact
1.70
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Feasibility of assessing symptoms associated with ovarian cancer using an electronic medical intake questionnaire

Benjamin G. Bitler, Kian Behbakht, Saketh R. Guntupalli, Barbara A. Goff et al.
1 citations
Gynecologic Oncology Reports
Ovarian cancer diagnosis and treatment
1.70
article

Feasibility of assessing symptoms associated with ovarian cancer using an electronic medical intake questionnaire

Benjamin G. Bitler, Kian Behbakht, Saketh R. Guntupalli, Barbara A. Goff, Stephen Rotholz, Cam Nguyen, Eric D. Helm
article en
1 citations

Abstract

Implementing a SI using the EMR is feasible but is influenced by the presence of pre-existing diagnoses. The effectiveness of an EMR-based SI pre-screen as a selection criterion for early detection requires further study and assessment of frequency and duration of symptoms should be considered.

Gynecologic Oncology ReportsVol. 59
Gynecologic Oncology Group (US), University of Washington (US), Colorado Center for Reproductive Medicine (US)
Good health and well-being, Zero hunger
Openalex Percentile: Top 18%
Ovarian cancer diagnosis and treatment
1.70
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.

Feasibility of assessing symptoms associated with ovarian cancer using an electronic medical intake questionnaire — Benjamin G. Bitler, Kian Behbakht, et al. · Gynecologic Oncology Reports (2025) | TGRS Research Map | TGRS