AI / IMAGING

Health AI

Governed assistance for professionals; no claims of autonomous diagnosis, guaranteed outcomes or regulatory approval.

AI Capabilities

Clinical NLP · structured extraction · summarization · trend analysis · anomaly detection · prioritization · document understanding

Evidence required before publication

AI Governance

Owner · intended use · data boundary · validation · human oversight · change control

Evidence required before publication

AI Transparency

Model/version · known limits · confidence · provenance · review trail

Evidence required before publication

HUMAN DECISION BOUNDARY

AI assists; accountable professionals decide

Health AI is presented as a governed assistance layer. Inputs, model version, output, confidence/limitations and the human response must remain distinguishable so an AI suggestion never silently becomes a clinical decision.

Intended role

Use AI for supported summarization, prioritization or decision support only within the declared use case; diagnostic or autonomous treatment claims require separate verification.

Input context

Bind output to the source data, subject, encounter/time window and quality state used for inference; missing or stale inputs remain visible.

Output contract

Present recommendation/signal with model version, confidence or uncertainty representation when available, limitations and the action expected from the reviewer.

Human control

Authorized professionals can accept, reject, override or escalate. Their final decision and rationale remain separate from the model output.

INFERENCE JOURNEY

From source data to reviewable assistance

The operating flow keeps data quality, model identity and human action explicit.

Validate contextConfirm source, subject, freshness and required fields before inference.

Invoke versioned modelRun only an approved model/version in the configured environment.

Return bounded outputAttach version, timestamp and uncertainty/limitations to the result.

Human reviewPresent source context and AI output together; do not hide contradictory evidence.

Decide or escalateReviewer accepts, overrides, requests more data or escalates according to policy.

Record outcomeCorrelate model output, reviewer action and downstream handoff for audit/monitoring.

MODEL LIFECYCLE

Production AI is a controlled release

Model behavior can change even when the UI does not. Release, monitoring and rollback therefore belong in the product boundary.

Registry & version

Track model identity, version, intended use and environment. A model change is a controlled product change, not an invisible file replacement.

Evaluation

Keep test/evaluation evidence tied to the use case and population/context assessed; avoid generalizing beyond that evidence.

Monitoring

Observe operational quality, missing inputs, override patterns, drift signals and failure modes appropriate to the deployed use case.

Rollback & incident

Support disabling/rolling back a problematic version and preserve the correlation needed to investigate affected outputs.

AI USE CASES

AI by operational workspace

Each use case exposes intended use, input/output, human oversight, failure modes, model version and evidence.

AI by operational workspace
#	Application	Use case	Control	Status
1	Patient App	Data summary · trends · compliance	Human review · Override · Evidence	Configuration dependent
2	Doctor Portal	Patient 360 · decision support · outcomes-focused	Human review · Override · Evidence	Configuration dependent
3	Nurse Portal	Priority alert · care gap · escalation	Human review · Override · Evidence	Configuration dependent
4	Laboratory	Identification · QC anomaly · critical value	Human review · Override · Evidence	Configuration dependent
5	Pharmacy	Medication reconciliation · duplication · safety	Human review · Override · Evidence	Configuration dependent
6	CareGiver	Compliance · change notification · handover	Human review · Override · Evidence	Configuration dependent
7	TeleHealth	Pre-visit summary · notes · follow-up	Human review · Override · Evidence	Configuration dependent
8	Kiosk	Measurement quality · mismatch · retry	Human review · Override · Evidence	Configuration dependent
9	Admin	Capabilities · SLA risk · Operational anomalies	Human review · Override · Evidence	Configuration dependent

Registry & VersionEvaluationBias/FairnessDriftIncidentRollback

AI starts with an operational decision

Each use case states the user, input, output and the point where a person must review the result before action.

AI starts with an operational decision
Application	Use case	Input	Output	Human review / failure	Status
Patient	Monitoring alert prioritization	Observations, trends, configured thresholds	Attention queue	No autonomous diagnosis; insufficient data → no conclusion	Configuration dependent
Doctor	Pre-visit summarization	Encounter, Observation, DiagnosticReport	Reviewable summary	Clinician validates and may discard/edit	Planned
Nurse	Worklist prioritization	Task, care plan, alert	Suggested order	Nurse adjusts based on actual condition	Planned
Kiosk	Repeat-measurement signal	Quality flag, device state, range	Retry/escalation suggestion	No diagnosis; device fault → stop/retry	Configuration dependent
Pharmacy	Risk-review assistance	MedicationRequest, allergy, rule context	Items for pharmacist review	Pharmacist decides; missing data → clarification	Planned
Laboratory	Validation queue prioritization	QC, result flags, reference context	Priority queue	Lab professional validates; critical values follow SOP	Planned
Caregiver	Task attention suggestion	Task, adherence, alert	Priority list	Never expands delegated access	Planned
TeleHealth	Pre-consultation preparation	Appointment, uploads, observations	Pre-visit summary	Clinician reviews; reconnect/low bandwidth is not delegated to AI	Planned
Administration	Operational anomaly signal	Audit/event metrics	Investigation signal	Administrator verifies before action	Planned

No accuracy claim: does not publish accuracy, clinical-benefit or regulatory-approval claims without supporting evidence.

Google Cloud Healthcare is not an AI model

Cloud Healthcare API can provide a FHIR/HL7v2/DICOM data plane and events for downstream analytics or AI. Human review and decision evidence remain part of Trusted Care workflows.

Explore the Google Cloud Healthcare architecture →