Clinical intelligence for medical oncology
Agents that turn scattered patient records into a consultation ready summary for the oncologist.
An oncology care providerProblem statement
What the client was up against
Oncologists face an information overload paradox. Patient histories, scans, lab results and notes arrive in many formats, and preparing for each consultation eats time that should go to patients.
Our approach
How we approached it
- Collected every record type that feeds a consultation
- Built specialist agents for each record type
- Kept the physician in charge of every decision
Solution we created
What we built
A multi agent clinical intelligence system that synthesises unstructured records into a structured summary, timeline and flags for the oncologist.
Agents in the system
The multi agent team behind it
SourcesHospital records, lab systems, imaging reports
Records agentReads notes, reports and lab results
Timeline agentBuilds the treatment history
Safety agentFlags interactions and missing data
Summary agentPrepares the consultation brief
People decideReview, approve and act
Records agentReads notes, reports and lab results
Timeline agentBuilds the treatment history
Safety agentFlags interactions and missing data
Summary agentPrepares the consultation brief
Hospital recordslab systemsimaging reports
What it was built to change
The outcome it is designed for
More consultation time for patients and fewer missed details.
This is live work without published results yet. We show the problem and the build, not numbers we have not measured.
Client names, detailed case studies, demos and references can be shared on request.
Looking for a similar solution?
Tell us your version of this problem. We will walk you through what we built and what a first pilot would look like for you.
