Healthcare
Healthcare generates more data than any other industry, but fragmentation across HIS, RIS, LIS, and clinical records leaves AI working with incomplete information. We first diagnose where the data flow breaks; depending on the case that can be a single targeted integration or, when it's warranted, a clinical knowledge graph connecting patients, protocols, drugs, and outcomes.
— HIMSS Analytics
The problems
The average health system uses 16+ different EHR vendors. Fewer than 1 in 3 can electronically exchange patient data.
Zero interoperability
16+ disconnected EHR vendors: HIS, RIS, LIS, EHR, lab. Each one a silo.
Clinical errors from incomplete data
Medical decisions made without seeing allergies, drug interactions, or full history.
Fragmented regulatory compliance
Multiple regulators each requiring different reports from the same data.
Our solutions
Healthcare
Connected clinical data
When the case warrants it, we connect patients, diagnoses, drugs, and protocols — from a targeted integration to a navigable graph.
AI with full context
AI agents that see the complete history before suggesting actions.
Automated reporting
Automatic generation of regulatory reports from a single source of truth.
Related services
GraphRAG and knowledge graphs
Only if warranted
Automation, agents, and applied AI
When it adds value
Data, integrations, and databases
Foundation when needed
Frequently asked questions
What do you diagnose first in Healthcare?
We start with the operational pain, usually around Zero interoperability: 16+ disconnected EHR vendors: HIS, RIS, LIS, EHR, lab. Each one a silo. From there we decide whether the issue is process, data, systems, leadership, or a mix of them before proposing any implementation.
Do we need AI or a new platform to solve it?
Not by default. In Healthcare, the right answer can be a process change, integration, automation, dashboard, custom software, or no build at all. We only use AI or advanced data architecture when the diagnostic shows it will change the business result.
What could an initial project look like?
A first scope often targets Connected clinical data: When the case warrants it, we connect patients, diagnoses, drugs, and protocols — from a targeted integration to a navigable graph. We keep the scope tied to one measurable outcome, clear ownership, and the capacity your team actually has to operate the change.
How does fractional CAIO/CTO support work here?
We act as fractional technical leadership for Healthcare: prioritizing risks, turning Clinical errors from incomplete data into concrete operating decisions, selecting or coordinating vendors when needed, and supervising implementation until the change is working in the business.