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◎ CASE / 064CUSTOM LLMJP2025◎ SHIPPED
JP Medical CorporationPOWERED BY CREWLESS

In-hospital Clinical LLM

In-hospital Clinical LLM

Clinical guidelines, internal policies, and records summarized/searched on an isolated in-hospital LLM — zero external data egress.

ROLE
In-hospital LLM Build · PHI Isolation Design
PERIOD
구축 6주 + 운영 계약
MARKET
JP
HEADLINE
-65% · Documentation time
(01) Challenge · The problem
Starting point

Clinical guidelines, internal policies, and records were split across systems, so documentation and summarization consumed a lot of clinical staff time. Patient data (PHI) can never leave the hospital, so general cloud AI was never an option.

(02) Solution · How we solved it
Approach

We placed an in-house LLM inside an isolated hospital environment and connected clinical guidelines, policies, and records via RAG and an ontology. All processing stays in-house and PHI never crosses the isolation boundary. Clinicians receive summaries and search results with source documents attached.

(04) Outcomes · Results

Proven by numbers.

-65%-55%
Documentation time
Guidelines, policies, and records summarized with sources
00
External data egress
PHI stays in-hospital with no egress path
RAGRAG
Grounded summaries
Presents source documents alongside output
24/724/7
Always available in-house
Runs continuously within the isolated environment
(05) Stack · Tools used

Trusted tools only.

01 · LLM/Model
  • Private LLM
  • Local embeddings
02 · Data/RAG
  • RAG
  • Ontology
  • Clinical document index
03 · Infra/Security
  • On-prem
  • PHI Isolation
  • Network isolation
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