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Herramientas, empresas

Cómo usa Advent Health Partners Labelbox

8 seconds

“with active learning and model-assisted workflows, the average dropped to 8 seconds”

Tal como se publicó en labelbox.com. Capturado por usedby el 7 oct 2026.

Qué pasó

Advent Health Partners uses Labelbox as a data engine to turn unstructured medical records into labeled training data for its OCR and NLP models. It combines model-assisted workflows, active learning, and expert human review to classify pages and evaluate entity-extraction accuracy.

Resumen escrito por usedby a partir de la página de origen, en inglés. Las cifras son de Labelbox y de Advent Health Partners, no nuestras.

  • 25 hours“we have been able to cut a full 25 hours we have been able to cut a full 25 hours from the process of generating high-quality AI data”

Classifying and providing expert feedback each page used to take about 13 seconds; with active learning and model-assisted workflows, the average dropped to 8 seconds.

De la página. labelbox.com, capturada el 7 oct 2026

By using Labelbox's model-assisted workflows, we have been able to cut a full 25 hours we have been able to cut a full 25 hours from the process of generating high-quality AI data, and we’ve found that our experts have an easier time through a software-first approach

Robert Coop, Chief AI Officer, Advent Health Partners. Fuente, capturada el 7 oct 2026

Lo que dice la historia, y lo que verificamos

Comparamos la historia con su página en línea el 7 oct 2026.

  • La cifra: 8 secondsVerificadoImpresa palabra por palabra en la página, cerca del nombre de Advent Health Partners.
  • El pasaje citado arribaVerificadoCopiado palabra por palabra de la página, cerca del nombre de Advent Health Partners.
  • Advent Health Partners usa LabelboxVerificadoLínea de nivel Confirmado. Última verificación entre todas las fuentes: 7 oct 2026.
  • El resultado en síNo verificadoLo citamos; no lo medimos.

Misma empresa, misma herramienta o mismo sector.

50%“cut average processing times to create training data by 50%”Blue River Technology usa Labelbox. Otro cliente de Labelbox70%“70% improvement in time savings for generating insights from images.”Burberry usa Labelbox. Otro cliente de Labelbox30%+“saved an estimated 30%+ in total time, plus months of custom development work in engineering hours”Cape Analytics usa Labelbox. Otro cliente de Labelbox