Capture unprompted outpatient signal across every care setting.
Traditional patient satisfaction instruments primarily sample inpatient discharge cohorts. The majority of health system encounters occur across outpatient clinics, diagnostic imaging, pathology laboratories, and ambulatory surgical centres. Yves captures unprompted operational signal across all points of care, translating qualitative patient narratives into triageable clinical and administrative decisions.
Built for this sector before your first message arrives, and adjusted in the first fortnight.
From Anonymous Voice to Healthcare Operational Decision
Explore how Healthcare leaders and field teams move from anonymous voice or text signal to verified executive triage in real time.
Voice & Text Anonymous Intake
Zero identity trace. Instant multi-lingual neural parsing across 100+ native dialects.
7 pending decisions
Northgate cluster · escalated 2h ago
Callback system overhaul
12m240% surge in callback silence
Staff conduct at Ward 4
41mDirect cash solicitation reported
Pharmacy weekend closure
1hPatients traveling 40m for insulin
Billing clarity at reception
2hScan costs tripled without quote
Callback system overhaul
“Three hours waiting in silence with zero nurse updates. When asked, staff advised waiting until day-shift arrived.”
Where conventional instruments fail in this sector
01
Discharge surveys undersample outpatient volume
Standard post-discharge instruments exclude ambulatory and diagnostic visitors, omitting the populations most exposed to scheduling friction and access delays.
02
Informal and solicited payment requests masked in general scores
Aggregated within broad customer service metrics, illicit fee demands and bribery solicitations dilute into generic administrative friction.
03
Unstructured text boxes ingest sensitive clinical and PHI data
Open narrative fields inevitably receive protected health information, triggering regulatory liability under HIPAA, GDPR, and regional health data protections.
What is built specifically for this sector
On-device PHI filtering and intake boundary guidance
Client-side guidance prompts patients toward operational touchpoints while local regex and pattern matching redact medical records and clinical details prior to transmission.
Strict non-clinical boundary enforcement
The platform analyzes patient care experience and administrative execution without generating diagnostic inferences or interfering with clinical triage protocols.
Financial propriety and compliance alerts prioritized on ingestion
Submissions alleging informal fee extraction or ethical misconduct trigger automated compliance dossiers and executive notification within one hour.
Site-level anomaly detection against localized historical baselines
Every clinic, laboratory, and regional hospital is evaluated against its own historical baseline, preventing high-volume tertiary facilities from masking localized clinic failures.
9 days
from initial signal detection to operational deployment of an updated diagnostic callback protocol
Engineered to satisfy HIPAA, GDPR, and national health data sovereignty requirements. Operational analysis runs on isolated infrastructure with automatic PHI redaction, purpose-based access logs, and tenant isolation.
“Yves isolated a systemic diagnostic callback breakdown within week one, attributed to a specific departmental handoff. We deployed the procedural fix in nine days.”
Chief Operating Officer, Regional Hospital Network
Start with your own healthcare corpus.
We build the category model for your sector, test it against a sample of your messages, and show you the first findings before you commit.