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Helpful Places

Government of Canada – DTPR AI Register

AI Clinical Decision Support for Spaceflight Medicine

Healthcare · Safety & Security

What it collects that can identify you

Sensitive personal information
Identifiable data
  • Health data from GC employees, including medical history, symptoms, and clinical measurements relevant to spaceflight medical scenarios, sourced from a health database.
About behaviour
Identifiable data
  • Spoken clinical observations and queries from medical personnel captured via the speech-to-text interface, representing real-time clinical interactions.

Also collects sensitive personal information, which is anonymized data.

Run by
Canadian Space Agency (CSA)
Where
No fixed location
Kept
Not stated by the Helpful Places.
Shared with
Accountable organization, Vendor

What it is for

HealthcareSafety & Security

This AI system assists medical personnel in making clinical decisions for astronauts and spaceflight crews, using speech-to-text, machine learning, and generative AI capabilities. It draws on health databases and de-identified datasets to support diagnosis and treatment recommendations in remote or space environments. The system is currently in development and is intended for use by Government of Canada employees. Users are informed when AI is involved in their care decisions.

What it collects and what happens to it

Data taken in

Sensitive personal information
Identifiable data
  • Health data from GC employees, including medical history, symptoms, and clinical measurements relevant to spaceflight medical scenarios, sourced from a health database.
Sensitive personal information
Anonymized data
  • De-identified datasets used to train or augment the system's models, containing records about individuals with identifying information removed.
About behaviour
Identifiable data
  • Spoken clinical observations and queries from medical personnel captured via the speech-to-text interface, representing real-time clinical interactions.

Processing

Speech & Audio
  • Speech-to-text processing converts spoken medical input from clinical personnel into structured text for downstream analysis and decision support.
Classification & Prediction
  • Machine learning models classify clinical conditions and predict patient outcomes based on input health data to support medical decision-making.
Language Models
  • Generative AI and large language model capabilities produce clinical text outputs such as treatment summaries, recommendations, and clinical documentation for review by medical personnel.

What it does

Sensing (Perceptive AI)
Human decides
  • Speech-to-text capability converts spoken clinical inputs — symptoms, observations, commands — into structured text that the downstream analytical and generative components can process.
Deciding (Analytical AI)
Human decides
  • Machine learning models analyze clinical data to classify conditions, predict outcomes, and score risk, providing recommendations that medical personnel review before acting.
Creating (Generative AI)
Human decides
  • Generative AI produces clinical summaries, suggested treatment plans, or advisory text for medical personnel to review in the context of spaceflight medical decision support.

Outputs

A recommendation or prediction
Anonymized data
  • Clinical recommendations, risk scores, and predicted diagnoses produced by the system for review by medical personnel before any clinical action is taken.
Generated content
Anonymized data
  • AI-generated clinical summaries, treatment plan drafts, and advisory text produced by the generative AI component for use by medical personnel in spaceflight medical scenarios.

Run by

Canadian Space Agency (CSA)
  • The Canadian Space Agency is the Government of Canada department accountable for deploying this clinical decision support system for spaceflight medical use.

Government of Canada AI Register — Connected Care Medical Module

Built by

Lunar Medical Inc, Paratus Medical, Baune
  • The AI system was developed by a consortium of vendors: Lunar Medical Inc, Paratus Medical, and Baune, contracted by the Canadian Space Agency.

Government of Canada AI Register — Connected Care Medical Module

Kept for

Not stated by the Helpful Places.

Shared with

Available to the accountable organization
  • Clinical outputs and AI-generated recommendations are available to the Canadian Space Agency and the medical personnel operating the system.
Available to vendor
  • The system was developed by external vendors (Lunar Medical Inc, Paratus Medical, Baune). The extent of vendor access to operational data produced by the deployed system is not specified in the register entry.

Stored

Not stated by the Helpful Places.

How to read the colours

Can it identify you?

Anonymized data
Data about people with the link to who is broken. Stripped of identifiers, blurred, aggregated, or noised so this system can’t reasonably tie a record back to an individual.
Pseudonymous data
Each person’s data is tied to a token (hash, ID, template) that lets this system recognise the same person across events, but the token itself doesn’t reveal a name. Reidentification is possible with extra information.
Identifiable data
The data either contains a direct identifier (name, address, account name, recognisable face or voice, plate number) or carries a token this system uses to look up legal identity during processing.

Who completes the loop?

Human decides
This mode suggests; a person decides what to do next. The AI is always advisory — a human is in the loop on every decision. Example: a triage tool ranks cases for a clinician who chooses which to see first.
Human executes
This mode decides; a person carries out the result. Example: an optimizer plans the day’s trash-collection routes, and drivers run them.
Autonomous
This mode decides and acts on its own. No person reviews each decision or carries out the resulting action.

Definitions from the DTPR standard. Amber is about your data, violet about who decides. The fuller the shape and the deeper the colour, the more identifying the data or the less a person is involved.

What you can do

Ask about this system

Questions go to the Helpful Places, not the vendor.

Your rights

  • Right to Be Informed of AI UseUsers are informed when AI is involved in their clinical care decisions. The Canadian Space Agency has confirmed that AI use is disclosed to users of this system.
  • Right to a Human ReviewThe system is designed as clinical decision support, meaning medical personnel review and decide on all AI-generated recommendations before any clinical action is taken. A human professional remains responsible for all clinical decisions.

Risks and safeguards

  • Physical harmErroneous clinical recommendations in a remote spaceflight environment could result in physical harm to astronauts or crew members where no alternative medical resources are available. The system is positioned as decision support rather than autonomous decision-making, keeping a human medical professional in the loop on all clinical decisions. The system is currently in development and has not yet been deployed.
  • Reputational harmIncorrect medical classifications or AI-generated clinical content could stigmatize or misrepresent an individual's health status. Use of de-identified datasets for training and the human-in-the-loop design help reduce direct reputational exposure from automated misdiagnosis. AI use is disclosed to users.