Industry offer · Healthcare
SAIE for healthcare is an AI environment that runs in the facility’s infrastructure, in which patient data does not leave the hospital and no decision about a patient is made automatically. AI for a healthcare facility in which no decision about a patient is made automatically
Patient data must not be processed outside the facility’s infrastructure, documentation exists as scans, and doctors write instead of treating. A clinical decision support system is usually a medical device and a high-risk system under the AI Act — AI Act obligations will cover it from 2 August 2028, and it already requires certification as a medical device today. Healthcare entities must implement the security measures under the amended KSC Act (Poland’s NIS2 implementation) by 3 April 2027, and the European Health Data Space (EHDS) starts to apply on 26 March 2027
Medical director — doctors’ time goes back to patients
IT director / DPO — patient data stays in the facility
Quality / compliance officer — human oversight and AI Act documentation
Knowledge and documents
TWIN:DESKProblem: Medical documentation exists as scans and printouts
How it works: OCR reads data from scans into a structured form available to authorised staff
What you gain: The patient’s history from scans becomes searchable — for those entitled to it
Knowledge and documents
TWIN:DESK + CDFProblem: Medical standards and procedures change, and staff use outdated versions
How it works: A central RAG knowledge base that cites the procedure in force; CogOps (CDF-F6) measures how current the knowledge is
What you gain: Staff get the current version of a procedure with a citation, and management knows which procedures need review
Process automation
TWIN:DESKProblem: Doctors spend time writing documentation instead of with patients
How it works: Voice chat (STT/TTS), the AI Powered Notes editor and structured answers that put the content into the documentation template
What you gain: The doctor dictates and the system arranges it into the documentation template — to check and sign, not to rewrite
Security and sovereignty
PROXY:AIProblem: Patient data must not be processed outside the facility’s infrastructure
How it works: A predefined Healthcare sector profile; identifying data detected and masked before every query; an “EU only” switch
What you gain: Staff use AI, and the DPO has a technical guarantee that a patient’s identifying data will not leave the facility
Compliance and oversight
PROXY:AI + CDFProblem: No decision concerning a patient may be made automatically
How it works: Approval gates and a HITL queue for critical actions; an explicit level of agent autonomy and the Human Competence Gate — a human makes and signs the decision
What you gain: AI prepares, a human decides — and the system makes sure the approval is informed and documented
Compliance and oversight
PROXY:AI + CDFProblem: A clinical decision support system is a high-risk system under the AI Act
How it works: ASIA/FRIA report (CDF-F1.5), conformity assessment before putting into service (F5); FRIA/ASIA export and an audit evidence package
What you gain: The facility deploys clinical decision support along a path it can defend before the regulator — with documentation from day one
Healthcare sector profile
The CDF methodology and products covered by the ISO/IEC 42001 certificate
Read →A Proof of Value on the voice documentation process in one ward, with data masking and an approval gate — in the facility’s infrastructure
The doctor who makes the decision, and the facility as the deployer of the system. AI in SAIE prepares summaries and draft documents with a source citation, and a human always approves the decision
Yes. TWIN:DESK and PROXY:AI run on-premises, in the facility’s infrastructure, with local models
The director is responsible for the deployment decision and the policy, the DPO (data protection officer) for the legal bases for data processing, the CISO for security and compliance with the KSC Act, and the provider for system documentation and support. The CDF methodology includes templates for these roles and registers
AI for the laboratory, where every result needs a source and every approval a signature
One AI infrastructure for all faculties — with isolation, transparency and policy
Content faster, with sources, labelled in line with the law and within the newsroom budget
https://www.allclouds.pl/en/oferta-branzowa/ochrona-zdrowia/