Trained independently with massive specialized medical datasets, Jiutian Embodied Intelligence Technology has developed a domain‑specific large‑scale medical model with 32‑billion parameters. Targeting hospitals and clinical departments at all tiers, the model addresses core pain‑points including time‑consuming note‑taking, inconsistent formatting, non‑standard logic, low work‑quality‑and‑efficiency, insufficient structurization and frequent human errors. It greatly elevates documentation efficiency and medical‑record compliance. Capable of seamless integration with existing in‑hospital systems, it upgrades medical‑record workflows from manual entry to AI‑powered generation, full‑process quality control and closed‑loop data management. It practically facilitates the construction of smart hospitals and accelerates the digitalization and standardization of clinical diagnosis‑and‑treatment workflows.