Evidence map›Paper›PMID 42337220›Full record

ArticleJournal of medical systems2026

Throughput Benchmarking and Throughput Variance Analysis to Evaluate the Efficiency of an Outpatient Endoscopy Unit.

Xing Li, Eli Patt, Madeline Koehn, Michael Hu, Ana Cecilia Zenteno Langle, Hrudya Viswanadh, Erin Stewart, Duncan J Flynn, Amandeep Singh

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Article in Journal of medical systems, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Xing LiDivision of Gastroenterology, Department of Medicine, Massachusetts General Hospital, 55 Fruit Street, Boston, MA, 02114, USA.
Eli PattDivision of General Medicine, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA.
Madeline KoehnSidney Kimmel Medical College, Philadelphia, PA, USA.
Michael HuHealthcare Systems Engineering, Massachusetts General Hospital, Boston, MA, USA.
Ana Cecilia Zenteno LangleHealthcare Systems Engineering, Massachusetts General Hospital, Boston, MA, USA.
Hrudya ViswanadhDivision of Gastroenterology, Department of Medicine, Massachusetts General Hospital, 55 Fruit Street, Boston, MA, 02114, USA.
Erin StewartDepartment of Radiology, Beth Israel Deaconess Medical Center, Boston, MA, USA.
Duncan J FlynnDivision of Gastroenterology, Maine Health, Biddeford, ME, USA.
Amandeep SinghDivision of Gastroenterology, Department of Medicine, Massachusetts General Hospital, 55 Fruit Street, Boston, MA, 02114, USA. asingh@mgh.harvard.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rising demand for colorectal cancer screening has increased colonoscopy volume, producing backlogs and prolonged wait times. Commonly used metrics such as room utilization provide limited insight into actionable drivers of efficiency; we applied a novel throughput benchmarking framework to quantify performance and identify operational sources of inefficiency. We conducted a pilot study in a four-room outpatient endoscopy unit from July-December 2022. Using routinely recorded timestamps for procedural stages, we derived a realistic daily target throughput (RDTT). Monthly realistic target throughput (RMTT) was calculated from RDTT. Actual monthly throughput (AMT) was benchmarked against RMTT to generate a throughput efficiency ratio (TER = AMT/RMTT) and throughput variance (TV = RMTT - AMT), which was decomposed into seven predefined operational factors. AMT ranged from 567 to 717 procedures per month, whereas RMTT ranged from 1,165 to 1,332, yielding a mean TER of 53%. The largest contributors to variance were rooms closed due to lack of endoscopist assignment (45%), workflow delays (21%), and patient no-shows or late cancellations (11%). In this pilot, we demonstrate that using commonly captured operational metrics, throughput benchmarking provides a practical framework to quantify efficiency and identify specific, actionable drivers of underperformance in endoscopy operations.

Indexed as

BenchmarkingColonoscopyEfficiency, OrganizationalColorectal NeoplasmsHumansPilot ProjectsTime FactorsWorkflowAmbulatory care facilitiesCapacity managementOperations researchWorkflowWorkflow optimization

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.