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Multispectral Real-time Fluorescence Imaging for Intraoperative Detection of the Sentinel Lymph Node in Gynecologic Oncology
Published on: October 20, 2010
A new method for analyzing diagnostic delay in gynecological cancer
Mai Partridge Vandborg1, Kasper Edwards, Jakob Kragstrup
1Department of Gynecology and Obstetrics, Odense University Hospital, Odense C, Denmark. mvandborg@health.sdu.dk
Summary
Process mapping tools effectively illustrate, understand, and measure healthcare delays. This method identified key contributors to diagnostic delays in gynecological cancer patients, improving patient pathways.
Area of Science:
- Healthcare Management
- Oncology
- Process Improvement
Background:
- Healthcare delays impact patient outcomes and treatment efficacy.
- Understanding diagnostic delays is crucial for improving patient care pathways.
- Gynecological cancer diagnosis can be complex, leading to potential delays.
Purpose of the Study:
- To introduce a novel methodology for illustrating, understanding, and measuring healthcare delays.
- To demonstrate the utility of process mapping tools in analyzing diagnostic delays.
- To investigate diagnostic delays in gynecological cancer using the proposed methodology.
Main Methods:
- Utilized a combination of value stream mapping and business process modeling notation.
- Developed patient pathway maps to visualize the diagnostic process.
- Included six women with diagnostic delays of six weeks or more in gynecological cancer care.
Main Results:
- The process mapping methodology successfully visualized complex diagnostic pathways.
- Key contributors to diagnostic delay were identified, including lack of suspicion and referral issues.
- The roles of various participants (patients, GPs, hospitals) in causing delays became evident.
Conclusions:
- Process mapping tools offer a valuable analytical framework for healthcare delay analysis.
- The methodology effectively identifies critical factors contributing to diagnostic delays in gynecological cancer.
- This approach can enhance the understanding and measurement of delays in healthcare settings.
