Evidence map›Paper›PMID 42480093›Full record

ArticleAmerican journal of clinical pathology2026

Enhancing efficiency and improving turnaround time: real-world impact of the Genius Digital Diagnostics System implementation.

Kristina Weatherhead, Chinh Nguyen, Terry Henry, Sarah Harrington, Yan Lemeshev

Abstract read
In one paragraph

Article in American journal of clinical pathology, 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

5 authors.

Kristina WeatherheadProPath, A Sonic Healthcare Anatomic Pathology Practice, Dallas, TX, United States.
Chinh NguyenProPath, A Sonic Healthcare Anatomic Pathology Practice, Dallas, TX, United States.
Terry HenryProPath, A Sonic Healthcare Anatomic Pathology Practice, Dallas, TX, United States.
Sarah HarringtonScientific Affairs, Hologic, Inc, Marlborough, MA, United States.
Yan LemeshevProPath, A Sonic Healthcare Anatomic Pathology Practice, Dallas, TX, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesWe sought to assess the real-world impact of the Genius Digital Diagnostics System (Genius Dx [Hologic, Inc]) on workload, efficiency, and turnaround time in a high-volume cervical cytology laboratory.

methodsThe laboratory information system was retrospectively queried for all Papanicolaou test cases performed between January 1, 2023, and March 31, 2025. A total of 512 177 cases (655 468 reviews) were included. Genius Dx was implemented on August 1, 2024, and cases were classified as preimplementation or postimplementation. Daily caseload, number of reviewers, number of cases per reviewer, and accession-to-sign-out times were compared using independent-samples t tests. Diagnostic distributions were compared using ꭓ2 tests.

resultsAverage daily cytologist (CT) reviews were similar before and after Genius Dx (747.8 vs 758.4 cases) but required fewer CTs per day (10.4 vs 8.1; P < .001), increasing cases per CT per day from 74.5 to 94.7 (P < .001). Pathologist reviews per day increased (106.0 vs 145.3; P < .001) with fewer pathologists (4.4 vs 3.4; P < .001). Average daily CT case workload increased by 53.5% after implementation. Accession-to-sign-out times decreased for all diagnoses (P < .001). A small but statistically significant shift in diagnostic proportions was observed, with a decrease in negative results and an increase in atypical squamous cells of uncertain significance or higher (ASC-US+) findings with negligible effect size.

conclusionsImplementation of Genius Dx substantially increased reviewer efficiency and reduced turnaround times without compromising diagnostic performance. The increased detection of ASC-US+ findings observed in this study are in line with results from the Genius Dx clinical trial and other published literature.

Indexed as

Clinical Laboratory Information SystemsPapanicolaou TestUterine Cervical NeoplasmsEfficiency, OrganizationalFemaleHumansRetrospective StudiesTime FactorsVaginal SmearsWorkflowWorkloadartificial intelligencecervical cancercytologycytopathologydigital cytologydigital pathologyGenius Digital Diagnosticslaboratory efficiencyPapanicolaou testworkflow

Identifiers

PMID42480093
PMCPMC13387604

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Registered trials

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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.