Hospital Operations Management Large AI Model Solution

Functional Overview

Helps large hospitals break data silos, connect clinical, pharmaceutical, financial, and medical insurance data across the full business process, build a smart management analysis system of "hospital management knowledge base + large model engine," tailor exclusive decision analysis reports for managers at different levels, and realize the leapfrog upgrade of hospital management from "experience-driven" to "data-driven" and then to "intelligent decision-making."

Customer Pain Points

  • Severe data silos: various systems within hospitals "act independently," making data interconnection and sharing difficult and restricting smart management.
  • Decisions lack data support: traditional management relies on experience, lacking deep analysis and intelligent early warning of operational data.
  • Low management efficiency: operations management reports take a long time to generate (several days), unable to meet rapid decision-making needs.
  • Performance assessment is difficult to implement: public hospital performance assessment (national exam) indicators are scattered, making dynamic benchmarking and real-time early warning difficult.

Solution Advantages

  • Breaking data silos: successfully connects three core systems—Hospital Information System (HIS), medical consumables supply chain system (SPD), and operations data center (ODR)—achieving free flow and intelligent matching of full business process data across clinical, pharmaceutical, financial, and medical insurance domains.
  • Multi-model collaborative enhanced analysis: based on localized Ascend computing power, relying on large models and self-developed agent architecture, builds a "data-query agent" (quickly retrieves multi-source data) and an "operations analysis engine" (attribution analysis and management recommendations), using RAG technology to retrieve excellent management experience from the knowledge base and output lean operations optimization plans.
  • Role-tailored customization: provides intelligent resource allocation and performance assessment simulation tools for finance departments; displays operations data analysis and precise early warnings for department heads; provides strategic deduction, risk monitoring, and automatic report generation for management.
  • Automatic benchmarking of national exam indicators: automatic benchmarking rate of public hospital performance assessment indicators exceeds 90%, key indicators are updated in real time, and abnormal early warning response time does not exceed 5 minutes.

Architecture Diagram

Architecture Diagram