Care Signals reviews the progress notes your support workers submit and flags possible risk language (unreported incidents, medication concerns, safeguarding worries) for a coordinator to review. It shows the exact phrase, explains why it may matter, and suggests a next step. A person reviews and decides.
Every note submitted by a support worker is analysed automatically - before it reaches your triage queue. No staff behaviour change required. No extra forms. No manual review of every note.
The moment a support worker submits a progress note, Care Signals analyses it in the background. There is no opt-in, no tagging, no extra step for staff. If the analysis service is unavailable when a note is submitted, the note is saved normally but is not analysed, so Care Signals supports reading notes rather than replacing it.
Other tools tell you a note contains a "risk flag." Care Signals shows you the verbatim excerpt - 5 to 15 words lifted directly from the note - so you know immediately what triggered the concern without reading the whole note. Nothing is paraphrased. Nothing is summarised away.
Each signal includes a plain-English explanation of why the phrase is clinically concerning, followed by a specific recommended action - not "monitor client." Something like: "Complete a falls risk assessment and update the care plan within 24 hours." The timeframe is part of the output, every time.
Most risk-monitoring tools operate as a black box: a note goes in, a flag comes out. Care Signals is designed to do the opposite - every finding is fully traceable back to the words that triggered it.
When a support worker submits a progress note, Care Signals sends the note content to a clinical analysis engine tuned to identify eight categories of risk in the Australian NDIS disability and aged care context.
For each concern it detects with sufficient confidence, it produces a structured signal containing four pieces of information: the type of concern, the verbatim triggering phrase, a plain-English clinical explanation, and a specific recommended action with a timeframe.
The signal is stored against the note and the client, and appears in the triage queue. Unreviewed signals are shown as a badge in your navigation.
No extra fields. No prompts. The note is written exactly as it always has been.
Runs asynchronously - no delay to the support worker, no page reload, no waiting.
Sorted by severity then recency. Unreviewed signals are listed first. Each one shows verbatim phrase, why it matters, and what to do.
Acknowledge, raise a formal incident, or dismiss. The signal records who reviewed it and when. The audit trail is automatic.
Care Signals is included on every CareIQ plan. $6/user/month - no setup fee.
Request a Demo →Care Signals uses a general-purpose language model, prompted to look for the language that appears in NDIS disability and aged care progress notes when significant events may have occurred but were not formally reported. Notes are processed by OpenAI in the United States.
Falls, near-miss falls, injuries, altercations, property damage, and medication errors described in note content without a corresponding incident form raised. This is the most commonly missed category.
Missed doses, refusal to take medication, apparent incorrect dose descriptions, side-effect language, and notes that mention medication without a corresponding MAR entry. Flags before the 24-hour window closes.
Aggression toward staff or other participants, self-harm indicators, significant deviation from a participant's documented behavioural baseline, and language suggesting acute emotional distress.
Mobility changes, cognitive changes, unexplained weight loss or gain, reduced responsiveness, and vital signs concerns described in note language but not formally captured as a vital signs entry.
Wounds, pressure areas, unexplained bruising, redness, skin tears, and any description of skin condition that has not been formally documented as a wound management entry.
Meal refusal, significant appetite change, dysphagia language, fever indicators, signs of infection (redness, discharge, odour, increased confusion), and dehydration language that warrants clinical follow-up.
Care Signals aggregates every unreviewed finding into a single triage view - sorted by severity first, then recency. Coordinators start with the most urgent concerns and work through to lower-priority signals, without switching between client profiles.
Each signal links directly to the originating clinical note and to the client's profile. Raising an incident from the triage queue opens the incident form pre-filled with the participant, the originating note and the flagged phrase. The coordinator completes it, records whether it is NDIS reportable, and submits it. The signal stays open until the incident is saved.
The problem Care Signals is built for is a real one: a coordinator cannot read every note on every shift, so a concern written down in passing on a Saturday can sit unread until Monday. Care Signals reads each note as it is submitted and raises the ones worth a human look, with the triggering words quoted back verbatim so the reviewer can judge it for themselves.
The difference between a useful finding and a useless flag comes down to specificity. Here is what Care Signals gives you that a standard keyword-alert system does not.
| Care Signals | Standard keyword alerts | |
|---|---|---|
| What you see when a flag is raised | Verbatim excerpt from the note - the exact phrase that triggered it | "Risk flag detected" or a category label |
| Clinical explanation | Plain-English explanation of why that specific phrase is concerning | None - coordinator must determine relevance themselves |
| Recommended action | Specific action with a timeframe (e.g. "within 2 hours") | Generic ("review this note", "discuss with team") |
| Confidence scoring | A confidence score shown with each signal, for the reviewer | Binary match - keyword present / not present |
| Severity ranking | 1-10 severity score - triage queue sorted automatically | Not available or manually assigned |
| Direct incident creation | Raise Incident pre-fills the incident form from signal data | Separate manual workflow |
| Audit trail | Reviewer name + timestamp recorded per signal, linked to note and incident | Often limited or manual |
As a provider grows - more staff, more clients, more shifts - the clinical governance burden grows proportionally. The coordinator who could read every note when the organisation had 12 participants cannot do the same at 40. Neither can they identify patterns across clients and shifts that no single note reveals.
Care Signals scales without adding headcount. Whether you have 7 staff or 70, every note is read to the same standard. The triage queue surfaces only the signals that warrant human attention - not the full note volume.
During NDIS audits and Quality and Safeguards Commission reviews, the Care Signals audit trail demonstrates systematic clinical oversight - every note reviewed, every concern actioned, every decision recorded.
See It in Your Trial →Care Signals is included on every CareIQ plan. $6/user/month, 2 months free, no credit card required to start.