AINNA NeuralOps · 医疗保健
AINNA NeuralOps 医疗保健
The 智能 Layer for Hospital 运营
Connect hospital systems, people, devices, 财务 and operational data into one intelligent AI-driven command layer.
We don't replace hospital systems. We make them intelligent.
42Patients / hour
78Bed occupancy
18Wait (min)
Moderate运行中 pressure
Demonstration 环境 — 模拟 Hospital 数据
Hospital digital twin
HIS
EMR
PACS
药房
Laboratory
计费
财务
HR
Facilities
IoT
Third-party
AINNA NeuralOps
智能 layer · orchestration
队列
Bed
药房
Lab
财务
ESG
设施
知识
Hospital 命令 中心
The hospital problem
优秀 systems. Fragmented intelligence.
Hospitals may already have excellent individual systems. The challenge is turning fragmented systems and data into a unified operational intelligence layer.
系统 isolated
架构
Four 层. One hospital nervous 系统.
NeuralOps is designed to sit above HIS, EMR, PACS and the operational estate — not to replace them.
Layer 1 — Hospital 系统
Existing systems of record
HIS
EMR
PACS
药房
Laboratory
计费
HR
财务
采购
Facilities
IoT
Medical Devices
Layer 2 — 集成
Designed for integration with hospital standards
REST API
HL7
FHIR
SQL
安全 file ingestion
MQTT
IoT
Event streams
Layer 3 — NeuralOps
路由, models, automation, 预测
智能路由
分离式系统
本地 SLM
LLM
知识 Retrieval
自动化
分析
预测
AI 编排
Layer 4 — Hospital 智能
What management actually sees
命令 中心
管理层 AI
财务
患者 流程
Bed 管理
采购
药房
Laboratory
Nursing
ESG
Facilities
预测
机构 知识
演示 Lab
NeuralOps 医疗保健 演示 Lab
Every card is a 实时 module on one shared hospital. 更改 patients/hour in the simulator and 命令 中心, pharmacy, laboratory, nursing and 管理层 AI all move together.
Working proof of concept
Hospital 运营 Simulator
These are not fixed outputs. 融资 patients/hour and watch waiting time, ED load, pharmacy, laboratory, nursing and bed pressure recompute from one engine.
独立系统
专业化 AI workers around one core.
Each agent has an input, a process and an output. They exchange state with Neural运营核心. Click an agent to inspect its contract.
私有 AI for 医疗保健
Hospital data can stay on a hospital path.
本地 inference, data isolation, access control, audit logs, role-based access, secure routing and human oversight. 已批准 or non-sensitive tasks may optionally route to a cloud LLM. No certification is claimed here that has not been independently issued.
- 本地 SLM / local AI on a hospital server
- NeuralOps router decides destination
- 人类-in-the-loop for material actions
Hospital 数据EMR · 财务 · facilities
Hospital 服务器isolated network
本地 SLM / 本地 AIdata stays on site
NeuralOps Routerrole · audit · human oversight
云 LLMapproved / non-sensitive only
集成
Designed for integration with hospital systems.
NeuralOps is designed for integration with HIS, EMR, PACS, Qmed, pharmacy, laboratory, 财务, HR, facilities, IoT and third-party platforms. This wording describes intended connectivity — it does not imply a confirmed production integration unless separately implemented.
NeuralOps
HIS
EMR
PACS
Qmed
药房
Laboratory
财务
HR
Facilities
IoT
Third-party
标准 in scope: REST · HL7 · FHIR · SQL · MQTT · secure file exchange
Responsible AI
运营 intelligence. Not an AI doctor.
Initial NeuralOps deployment is focused on hospital operations, management, 财务, facilities, workflow and institutional knowledge.
It should not autonomously
- Diagnose disease
- Prescribe medication
- Replace clinicians
- 推荐 treatment without clinical governance
Controls
人类-in-the-loop 基于角色的访问 审计追踪 数据 governance 来源 verification 升级处理 workflow
Positioning
This website is a living demonstration of an intelligence layer. It is not a medical device and not a substitute for professional clinical judgement.
关于 AINNA
A technology company building NeuralOps.
AINNA builds NeuralOps, AI infrastructure, detached AI systems, specialised automation, business intelligence and AI workflows.
Existing technology capability
智能路由, detached systems, private infrastructure, orchestration patterns, analytics and knowledge workflows as demonstrated across the AINNA platform.
Proposed healthcare use cases
Hospital command, executive briefing, 财务 and flow intelligence, and related operational modules shown here as an interactive proof of concept. This site does not claim a 实时 hospital deployment.
潜在 运行中 影响
Hospital operational impact calculator
Illustrative 试点 概念
Illustrative KPMC Smart Hospital 试点
This is an illustrative architecture for discussion. It is not a claim of deployment at KPMC or any named hospital.
Existing Hospital 系统HIS · EMR · pharmacy · lab
AINNA NeuralOpsillustrative overlay only
命令 中心one operational picture
独立AI系统specialised workers
试点 programme
开始 with one hospital. Prove the value. 展开.
第一阶段
- 管理层 仪表盘
- 管理层 AI
- 财务 智能
- 患者 流程
- 知识 AI
第二阶段
- Bed 管理
- 采购
- 药房
- Lab
- 设施
- ESG
- HR
- 预测性 运营
ESG intelligence
