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Multi-center Validation Study of a Large Language Model-based Intelligent Agent for Blood Cell Analysis

24. maj 2026 opdateret af: Ming Guan, Huashan Hospital

I. Study Background: Currently, in most medical institutions, the review of blood cell analysis still heavily relies on manual verification by laboratory staff. This process requires a comprehensive analysis of instrument parameters, alarm flags, historical comparison results, and, when necessary, microscopic examination. However, with the increasing volume of test samples and the high concentration of review tasks during peak hours, the traditional manual review model increasingly shows problems such as prolonged turnaround time (TAT), uneven workload distribution, and decreased consistency in reviews. In recent years, intelligent review systems based on Large Language Models (LLM) have shown potential in analyzing abnormal results and stratifying sample risks by integrating preset rules, clinical diagnostic information, and multi-dimensional laboratory data, which is expected to optimize the review workflow.

II. Study Objective: To evaluate the difference in overall sample review turnaround time between the experimental process and the control process during the formal study phase, and to test its superiority.

III. Subjects: The investigators need to recruit approximately 20,000 subjects, regardless of age or gender.

IV. Study Procedures: If participants agree to participate in the study, participants only need to allow us to use participants test results after participants have completed your routine blood test (CBC).

V. Risks and Benefits:

  1. Risks: This study poses no risk to the subjects. The investigators only use the result data of patients after participants have had their routine blood test; there is no need for patients to undergo additional blood draws.
  2. Benefits: It will shorten the turnaround time for routine blood test results and share the workload of doctors in reviewing these results.

VI. Privacy: All of participants information will be kept strictly confidential and will only be used for this scientific research.

Studieoversigt

Status

Ikke rekrutterer endnu

Intervention / Behandling

Undersøgelsestype

Observationel

Tilmelding (Anslået)

20000

Deltagelseskriterier

Forskere leder efter personer, der passer til en bestemt beskrivelse, kaldet berettigelseskriterier. Nogle eksempler på disse kriterier er en persons generelle helbredstilstand eller tidligere behandlinger.

Berettigelseskriterier

Aldre berettiget til at studere

  • Barn
  • Voksen
  • Ældre voksen

Tager imod sunde frivillige

Ja

Prøveudtagningsmetode

Ikke-sandsynlighedsprøve

Studiebefolkning

The study subjects were consecutive individuals undergoing routine blood tests at each center, with no restrictions on gender or age. After inclusion, samples entered the corresponding review process based on the study week, with preliminary and secondary reviews conducted by predefined workflows and qualified personnel, respectively.

Beskrivelse

Inclusion Criteria:

  • Subjects who underwent routine blood tests in the outpatient, emergency, or inpatient departments of the participating centers during the study period.

Corresponding samples must have complete instrument results, review trails, and report timestamp records.

Approved for inclusion by the Ethics Committee.

Exclusion Criteria:

  • Samples collected during periods of instrument malfunction or interface transmission anomalies.

Missing key research data, particularly samples where the final review conclusion or key timestamps cannot be confirmed.

Subjects or their legal representatives explicitly refuse to participate in the study.

Studieplan

Dette afsnit indeholder detaljer om studieplanen, herunder hvordan undersøgelsen er designet, og hvad undersøgelsen måler.

Hvordan er undersøgelsen tilrettelagt?

Design detaljer

Kohorter og interventioner

Gruppe / kohorte
Intervention / Behandling
LLM-Assisted Review Group

This study introduces an intelligent auxiliary review system based on a medical Large Language Model (LLM), aimed at optimizing the traditional CBC report review process. The core functions and intervention mechanisms are as follows:

Multi-source Data Integration: The system integrates seamlessly with the Laboratory Information System (LIS) to automatically retrieve patient demographics (age, sex), current CBC indices, historical results, and clinical diagnoses.

Deep Analysis and Anomaly Detection: Unlike traditional rule-based auto-verification, this system leverages the reasoning capability of LLMs to perform multidimensional clinical logic checks. It identifies out-of-range values and interprets their clinical significance by combining them with patient history (e.g., distinguishing physiological fluctuations from pathological changes).

Standard Manual Review Group

Hvad måler undersøgelsen?

Primære resultatmål

Resultatmål
Tidsramme
Overall Report Turnaround Time
Tidsramme: one year
one year

Samarbejdspartnere og efterforskere

Det er her, du vil finde personer og organisationer, der er involveret i denne undersøgelse.

Datoer for undersøgelser

Disse datoer sporer fremskridtene for indsendelser af undersøgelsesrekord og resumeresultater til ClinicalTrials.gov. Studieregistreringer og rapporterede resultater gennemgås af National Library of Medicine (NLM) for at sikre, at de opfylder specifikke kvalitetskontrolstandarder, før de offentliggøres på den offentlige hjemmeside.

Studer store datoer

Studiestart (Anslået)

14. maj 2026

Primær færdiggørelse (Anslået)

31. august 2027

Studieafslutning (Anslået)

31. august 2027

Datoer for studieregistrering

Først indsendt

19. maj 2026

Først indsendt, der opfyldte QC-kriterier

19. maj 2026

Først opslået (Faktiske)

26. maj 2026

Opdateringer af undersøgelsesjournaler

Sidste opdatering sendt (Faktiske)

28. maj 2026

Sidste opdatering indsendt, der opfyldte kvalitetskontrolkriterier

24. maj 2026

Sidst verificeret

1. maj 2026

Mere information

Begreber relateret til denne undersøgelse

Andre undersøgelses-id-numre

  • KY2026-084

Disse oplysninger blev hentet direkte fra webstedet clinicaltrials.gov uden ændringer. Hvis du har nogen anmodninger om at ændre, fjerne eller opdatere dine undersøgelsesoplysninger, bedes du kontakte register@clinicaltrials.gov. Så snart en ændring er implementeret på clinicaltrials.gov, vil denne også blive opdateret automatisk på vores hjemmeside .

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