Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Search research articles

Related Experiment Video

Updated: Jul 12, 2026

Surgical Robot-Assisted Transanal Specimen Extraction Radical Sigmoidectomy Without an Auxiliary Abdominal Incision

Surgical Robot-Assisted Transanal Specimen Extraction Radical Sigmoidectomy Without an Auxiliary Abdominal Incision

Published on: June 13, 2025

Automated algorithm for surgical outcomes abstraction for cystectomy.

Peter S Palencia¹, Brandon L Ward¹, Maximilian J Rabil¹

¹Yale University School of Medicine, New Haven, CT.

Urologic Oncology

|July 9, 2026

Summary

This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

It Comes at Night: A Nocturnal Emissions Historical Review.

International journal of impotence research·2026

Same author

Prostate-Specific Membrane Antigen Imaging and Initial Treatment for Prostate Cancer.

JAMA oncology·2026

Same author

Associations Between Medicaid Insurance, Facility Medicaid Share, and Guideline-Concordant Prostate Cancer Care.

Urology·2026

Same author

Compensation Trends and Projected Gender-based Pay Disparities in Academic Urology, 2016-2024.

Urology·2026

Same author

Re-Evaluating the Role of Locoregional Therapy in Metastatic Prostate Cancer: A Review of Current Evidence and Evolving Clinical Approaches.

The Urologic clinics of North America·2026

Same author

Machine learning approaches to optimize the integration of sociodemographic factors for predicting cancer-specific survival among patients with high-risk prostate cancer.

Current urology·2026

A new electronic medical record (EMR) algorithm accurately captures cystectomy outcomes, matching National Surgical Quality Improvement Program (NSQIP) standards. This automated approach enhances quality improvement initiatives by providing immediate data access.

Area of Science:

Urology
Health Informatics
Surgical Quality Improvement

Background:

Cystectomy is a complex surgical procedure with significant potential for complications.
Improving the quality of care and patient outcomes after cystectomy is a critical objective.
Existing methods for tracking surgical outcomes, such as manual data abstraction by the National Surgical Quality Improvement Program (NSQIP), can be resource-intensive.

Purpose of the Study:

To develop and validate an automated electronic medical record (EMR)-based algorithm for abstracting surgical outcomes and quality metrics for cystectomy.
To assess the sensitivity, specificity, and agreement of this algorithm compared to traditional NSQIP data abstraction.

Main Methods:

An EMR-based algorithm was created to automatically extract cystectomy outcomes using CPT/ICD-10 codes and EMR variables.

Keywords:

Cystectomy Data abstraction algorithm Patient safety Quality improvement Surgical outcomes

More Related Videos

Robotic Left Hepatectomy using Indocyanine Green Fluorescence Imaging for an Intrahepatic Complex Biliary Cyst

Robotic Left Hepatectomy using Indocyanine Green Fluorescence Imaging for an Intrahepatic Complex Biliary Cyst

Published on: June 24, 2022

Related Experiment Videos

Last Updated: Jul 12, 2026

Surgical Robot-Assisted Transanal Specimen Extraction Radical Sigmoidectomy Without an Auxiliary Abdominal Incision

Surgical Robot-Assisted Transanal Specimen Extraction Radical Sigmoidectomy Without an Auxiliary Abdominal Incision

Published on: June 13, 2025

Robotic Left Hepatectomy using Indocyanine Green Fluorescence Imaging for an Intrahepatic Complex Biliary Cyst

Robotic Left Hepatectomy using Indocyanine Green Fluorescence Imaging for an Intrahepatic Complex Biliary Cyst

Published on: June 24, 2022

Data from 246 cystectomies performed between January 2013 and March 2025 were analyzed.

The algorithm's performance was evaluated against NSQIP abstraction, with agreement assessed using Cohen's kappa statistic.

Main Results:

The algorithm demonstrated high sensitivity (≥90%) and specificity (≥96%) for most outcomes.
Substantial agreement was found between the algorithm and NSQIP abstraction for key metrics like readmission (k=0.89), prolonged ventilation (k=0.91), and mortality (k=1.00).
Kappa values for specific complications like anastomotic bowel leak and rectal injury could not be calculated due to a lack of observed events in the cohort.

Conclusions:

The developed EMR-based algorithm reliably matches or surpasses the accuracy of NSQIP abstraction for cystectomy outcomes.
Automated data abstraction offers immediate access to quality metrics, potentially optimizing resource utilization.
Integration of such algorithms into quality improvement programs is recommended, pending external validation across diverse institutions and EMR systems.