◎ CASE / 064◎ CUSTOM LLM◎ JP◎ 2025◎ 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.
-55%
Documentation time
Guidelines, policies, and records summarized with sources
0
External data egress
PHI stays in-hospital with no egress path
RAG
Grounded summaries
Presents source documents alongside output
24/7
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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START / FREE CONSULT · NDA OK