Processes clinical documentation
Reads long, heterogeneous clinical records and organises the relevant detail.
Lead product
SICC — Auditable clinical coding, with professionals in control
SICC helps clinical coding teams read documentation, propose codes in context, and justify each suggestion with the clinical evidence behind it. The final decision always rests with the professional.
Lead product
From documentation to accountable decision support.
SICC helps clinical coding teams read documentation, propose codes in context, and justify each suggestion with the clinical evidence behind it. The final decision always rests with the professional.
Working MVP · Preparing for institutional evaluation
Contextual coding suggestions
Proposes codes with the episode, history and clinical context in view.
Evidence-linked
Every suggestion points back to the clinical passages supporting it.
Human review and approval
Nothing is submitted without validation by the responsible professional.
Auditable workflow
A full record of suggestions, changes and approvals for internal audit.
A human-in-the-loop model, not autonomous coding.
SICC · Evidence linked
The problem
Fragmented documentation, decisions that are hard to justify.
Clinical teams work with information scattered across systems and formats. Manual review is slow, and the reasoning behind each decision is not always recorded.
Scattered information
Clinical notes, reports and structured data live in different systems, in different formats.
Manual, specialist effort
Reviewing long documentation consumes specialist time that is needed elsewhere.
Hard to reconstruct the trail
Without an explicit link to evidence, justifying a decision at audit becomes slow work.
For healthcare organisations
Designed for the teams accountable for the final decision.
SICC is intended for hospitals and healthcare organisations, clinical coding and audit teams, and clinical quality and operations functions.
- Hospitals and healthcare organisations
- Clinical coding and audit teams
- Clinical operations and quality teams
- In the future, sleep laboratories and qualified sleep professionals
Proposed evaluation pathway
From understanding the workflow to an informed decision.
A potential institutional evaluation is defined jointly and does not presume commercial deployment.
01
Understand
Map the workflow, accountable users and institutional requirements.
02
Define
Agree the scope, data, responsibilities and evaluation criteria.
03
Decide
Make a commercial decision only after reviewing the evaluation results.
04
Plan
Prepare integration, access, governance and controlled oversight.
Any evaluation proceeds only with jointly defined data, responsibilities and criteria.
Talk to us
Let’s evaluate where accountable clinical AI can add value.
We welcome conversations with healthcare institutions, clinical coding teams, researchers, technology collaborators and investors.
Evaluate SICC
For healthcare organisations interested in a controlled evaluation of SICC.
Send a messageTechnology and research collaboration
For research, clinical or technology teams.
Send a messageInvestors
For investors following applied healthcare AI.
See the investor pageGeneral contact
For anything else.
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