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Endoworks

Manufactured by Olympus
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EndoWorks is a digital workflow management system developed by Olympus for use in endoscopy procedures. It provides comprehensive tools for capturing, managing, and storing endoscopic images and video recordings. The core function of EndoWorks is to facilitate the efficient documentation and organization of endoscopic data to support clinical workflows.

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Lab products found in correlation

Stata 14, by StataCorp (1 mentions)

6 protocols using endoworks

1

Retrospective Colonoscopy Outcomes Analysis

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The records of inpatients who underwent colonoscopy at our institution between January 1, 2010, and December 31, 2011, were retrospectively extracted from EndoWorks (Olympus, Center Valley, PA). Endoscopists at our institution have a mean annual caseload of 533 colonoscopies between 2013 and 2015. Fellows and residents participated in 59% of cases, all of which were supervised. Six individuals reviewed hospital charts, and 10% of cases were audited for validation. All data collection and analyses were undertaken following the approval and institutional oversight of the Institutional Review Board for the Protection of Human Subjects.
McNabb-Baltar J., Dorreen A., Al Dhahab H., Fein M., Xiong X., O' Byrne M., Ait I., Martel M, & Barkun A.N. (2016). Age Is the Only Predictor of Poor Bowel Preparation in the Hospitalized Patient. Canadian Journal of Gastroenterology & Hepatology, 2016, 2139264.
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2

Colonoscopy Reporting and Medical Record Review

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At the CHU de Québec, which is comprised of the HSFA and HSS, all gastrointestinal (GI) endoscopy reports are generated in a standardized manner and electronically stored via Endoworks® (Olympus®) software. In addition, all medical records from the 5 hospitals of the CHU are digitized and merged into a single source. We launched a search in Endoworks® for all reports of colonoscopies performed at HSFA and HSS between January 1st and December 31st 2014 containing the keywords “FIT” or “RSOSi (French equivalent of FIT)”. We then consulted each corresponding medical record to complete data collection. When a record was only partially digitized, we consulted the print version at the Health Records Department.
All colonoscopy reports and medical records were reviewed manually by either one of the two first authors (MC, GL). A data collection tool was created, as well as a database to allow statistical analyses.
Caron M., Lamarre G., Grégoire P., Simonyan D, & Laflamme N. (2018). The fecal immunochemical test (fit): Selected aspects regarding its effectiveness for colorectal cancer screening in Quebec City. Preventive Medicine Reports, 12, 6-11.
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3

Retrospective ERCP Procedure Analysis

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The ERCP procedures were performed by a total of seven endoscopists at two urban academic medical centres. All cases were performed with a trainee performing at least part of the procedure. All cases were also performed under general anaesthesia.
All patients 18 years of age or older that underwent ERCP at the University Hospital of Brooklyn (UHB) at SUNY Downstate Medical Center and Kings County Hospital Center (KCHC) from 1 January 2007 to 14 July 2017, were included. Procedural findings and technical details were collected from the endoscopy documentation software at each institution starting from the time of their inception: MD-Reports (Infinite Software Solutions, Staten Island, New York, USA) at UHB (2010) and EndoWorks (Olympus, Tokyo, Japan) at KCHC (2007). Additionally, a database kept for the clinical care of those patients undergoing ERCP at both institutions was reviewed for data regarding demographics, clinical history, blood test results, diagnoses and complications.
Kwak N., Yeoun D., Arroyo-Mercado F., Mubarak G., Cheung D, & Vignesh S. (2020). Outcomes and risk factors for ERCP-related complications in a predominantly black urban population. BMJ Open Gastroenterology, 7(1), e000462.
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4

Retrospective Evaluation of Balloon-Assisted Enteroscopy

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We performed a single-center retrospective cohort study conducted at the McGill University Health Center (MUHC, Montreal, Canada) that included all consecutive adult patients who underwent a BAE between January 2010 and July 2015. Patients were identified using Endoworks™ (Olympus, Central Valley, Pennsylvania, USA), a software used in the division of gastroenterology at the MUHC to prospectively document endoscopic procedures. Patients were excluded if the procedure was misclassified or if the enteroscopy report was unavailable.
Benmassaoud A., Sasson M.S., Pamphile J.C., Martel M., Lakatos P.L., Barkun A.N., Soulellis C, & Bessissow T. (2018). The Use of Balloon-assisted Enteroscopy at a Large Volume Centre: A Retrospective Analysis. Journal of the Canadian Association of Gastroenterology, 1(1), 33-39.
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5

Natural Language Processing for Endoscopic Data

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All patient data were collected from electronic medical records and endoscopy reports using a natural language processing tool developed in our institution
6 (link)
. Variables collected included patient age, sex, race, and body mass index; EMR details; AEs; colon polyp morphology, pathology, and recurrence; and referral for surgery. Data were collected using a detailed, structured field format in an endoscopic reporting system (EndoWorks; Olympus, Center Valley, Pennsylvania, United States; ProVation Medical, Minneapolis, Minnesota, United States). Detailed photographic documentation of each EMR was performed, consisting of 20 to 30 photographs per resection. In addition, videos of all large EMRs (n = 120) were uploaded to the EMR Channel at YouTube (
https://www.youtube.com/playlist?list=PL43D6FC92ECCD341E) to help with education. Surveillance endoscopy was performed at 6 and 18 months to check for local recurrence of polyp.
Raju G., Lum P., Ross W., Thirumurthi S., Miller E., Lynch P., Lee J., Bhutani M.S., Shafi M.A., Weston B., Blechacz B., Chang G.J., Hagan K., Rashid A., Davila M, & Stroehlein J. (2019). Quality of endoscopy reporting at index colonoscopy significantly impacts outcome of subsequent EMR in patients with > 20 mm colon polyps. Endoscopy International Open, 7(3), E361-E366.
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6

Endoscopic Mucosal Resection Protocol

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All patient data were collected from electronic medical records and endoscopy reports using a natural language processing tool developed in our EMR center. Variables collected included patient age, sex, race, and body mass index; EMR details; adverse events; colon polyp morphology, pathology, and recurrence; and referral for surgery.10 (link) The data was collected using a detailed structured field format in an endoscopic reporting system (Endoworks; Olympus, Center Valley, Penn). Detailed photo documentation of each entire EMR was undertaken, with about 20-30 photos per resection. In addition, videos of all large EMRs (n=120) were recorded to review the procedures, and the majority of them were posted to YouTube on the EMR Channel (https://www.youtube.com/playlist?list=PL43D6FC92ECCD341E) to help educate endoscopists interested in learning about EMR. Surveillance endoscopy data were documented with extensive photography of each resection scar. Categorical variables were summarized by absolute frequency and percentage. Median values and range (minimum and maximum) were calculated for time variables. Two sample test of proportions was used to compare type and outcomes of resection for lesions grouped by size (<20mm or >20 mm). Analyses were performed in Stata 14.0 data analysis software (StataCorp, College Station, TX).
Raju G., Lum P., Ross W., Thirumurthi S., Miller E., Lynch P., Lee J., Bhutani M., Shafi M., Weston B., Pande M., Bresalier R., Rashid A., Mishra L., Davila M, & Stroehlein J. (2016). Outcome of Endoscopic Mucosal Resection As an Alternative to Surgery in Patients with Complex Colon Polyps. Gastrointestinal endoscopy, 84(2), 315-325.
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