Evidence map›Paper›PMID 36941960›Full record

ArticleJournal of pathology informatics2023

A web application to support the coordination of reflexive, interpretative toxicology testing.

Abed Pablo, Thomas J Laha, Nathan Breit, Noah G Hoffman, Andrew N Hoofnagle, Geoffrey S Baird, Patrick C Mathias

Full text read
In one paragraph

Article in Journal of pathology informatics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

7 authors.

Abed PabloDepartment of Laboratory Medicine and Pathology, University of Washington School of Medicine, Seattle, WA, USA.
Thomas J LahaDepartment of Laboratory Medicine and Pathology, University of Washington School of Medicine, Seattle, WA, USA.
Nathan BreitDepartment of Laboratory Medicine and Pathology, University of Washington School of Medicine, Seattle, WA, USA.
Noah G HoffmanDepartment of Laboratory Medicine and Pathology, University of Washington School of Medicine, Seattle, WA, USA.
Andrew N HoofnagleDepartment of Laboratory Medicine and Pathology, University of Washington School of Medicine, Seattle, WA, USA.
Geoffrey S BairdDepartment of Laboratory Medicine and Pathology, University of Washington School of Medicine, Seattle, WA, USA.
Patrick C MathiasDepartment of Laboratory Medicine and Pathology, University of Washington School of Medicine, Seattle, WA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Reflexive laboratory testing workflows can improve the assessment of patients receiving pain medications chronically, but complex workflows requiring pathologist input and interpretation may not be well-supported by traditional laboratory information systems. In this work, we describe the development of a web application that improves the efficiency of pathologists and laboratory staff in delivering actionable toxicology results. Method: Before designing the application, we set out to understand the entire workflow including the laboratory workflow and pathologist review. Additionally, we gathered requirements and specifications from stakeholders. Finally, to assess the performance of the implementation of the application, we surveyed stakeholders and documented the approximate amount of time that is required in each step of the workflow. Results: A web-based application was chosen for the ease of access for users. Relevant clinical data was routinely received and displayed in the application. The workflows in the laboratory and during the interpretation process served as the basis of the user interface. With the addition of auto-filing software, the return on investment was significant. The laboratory saved the equivalent of one full-time employee in time by automating file management and result entry. Discussion: Implementation of a purpose-built application to support reflex and interpretation workflows in a clinical pathology practice has led to a significant improvement in laboratory efficiency. Custom- and purpose-built applications can help reduce staff burnout, reduce transcription errors, and allow staff to focus on more critical issues around quality.

Indexed as

AMR, analytical measurement rangeAWS, Amazon Web ServicesCSV, Comma-separated valuesCustom web applicationGC-MS, gas chromatography-mass spectrometryLaboratory workflowsLC-MS/MS, Liquid chromatography-tandem mass spectrometryLIS, laboratory information systemMass spectrometrymg, milligramMLS, medical laboratory scientistPythonQC, Quality controlQuality controlRRT, Relative retention timeS3, Simple storage serviceS/N, Signal to noise ratioTSV, tab-separated valuesUDT, urine drug testingUW Medicine, Department of Laboratory Medicine and Pathology at University of Washington MedicineXML, Extensible markup language

Identifiers

PMID36941960
PMCPMC10024164

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read10
Read underepoch 390

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.