/* Stethos — landing page, sections A (hero → counter-intuitive). Composes the design-system primitives from the compiled bundle. */ const DS = window.LatentHealthDesignSystem_2f3a71; const { Button, Badge, Card, Eyebrow, StatCard } = DS; const MAXW = 1120; function Container({ children, style }) { return
{children}
; } function Section({ id, children, style, pad = 120 }) { return (
{children}
); } /* Scroll-triggered swoosh-in: fades + eases into place whenever it enters view, and resets if you scroll back past it. Uses a manual scroll/resize rect check (not IntersectionObserver — unreliable in some preview contexts) with a mount-time fallback so content is never permanently stuck hidden. */ function Reveal({ children, delay = 0, distance = 34, style }) { const ref = React.useRef(null); const [shown, setShown] = React.useState(false); React.useEffect(() => { const el = ref.current; if (!el) return; function check() { const r = el.getBoundingClientRect(); const vh = window.innerHeight || document.documentElement.clientHeight; setShown(r.top < vh * 0.92 && r.bottom > 0); } check(); const id = setInterval(check, 120); window.addEventListener('scroll', check, { passive: true }); window.addEventListener('resize', check); return () => { clearInterval(id); window.removeEventListener('scroll', check); window.removeEventListener('resize', check); }; }, []); return (
{children}
); } /* ---------------- Nav ---------------- */ function Nav() { return (
Stethos
Problem How it works Mandate
); } /* ---------------- Hero ---------------- */ function Hero() { return (

Hospitals find out a stay went badly forty days after the patient goes home.

Your hospital already collects the signals. We just read them, in real time. See dissatisfaction while there's still time to fix it.

); } /* ---------------- Problem ---------------- */ function ProblemSection() { return (
By the time the survey lands, it's history

Patient experience is measured after the patient has left the building, by the minority who bother to answer. By the time the data arrives, the ward has turned over a hundred times. Nothing that shows up in that report can still be fixed.

); } /* ---------------- Data flow (interactive explainer) ---------------- */ function DataFlowSection() { const FlowExplainer = window.FlowExplainer; return (
How it works

Watch one patient decline, and see the moment we catch it.

Two lines. The grey line is what a ward sees today; it looks fine. The dashed line is what Stethos predicts her satisfaction will be at discharge. Step through her stay and watch them come apart.

Under the hood

Where the signal comes from

Three sources already sit in the room: the call bell, the nurse-call system, the RTLS badge that tracks who visits and when. Two more slot in with zero new hardware: a room sensor and the EMR feed. All five stream into the model continuously, not once a quarter. It fuses them into a single number, updated every hour, and pushes a flag the moment that number crosses the line, hours or days before anyone would have noticed.

); } function DataFlowLiveMount() { const DataFlowLive = window.DataFlowLive; return ; } /* ---------------- Insight (4 cards) ---------------- */ function InsightSection() { const cards = [ ['Unmet need', 'Is she asking for something she isn’t getting?'], ['Latency', 'How long does she wait before anyone comes?'], ['Repetition', 'Is she asking for the same thing, again?'], ['Withdrawal', 'Has she stopped asking at all?'], ]; return (
We don’t measure happiness

We infer it from the gap between need and response.

You cannot ask a patient how they feel and expect the truth. They’re tired, they’re dependent on you, and they don’t want to be difficult. So we don’t ask. Every signal in a hospital room collapses into four questions:

{cards.map(([k, q], i) => ( {k} {q} ))}
); } /* ---------------- Counter-intuitive (diverging chart) ---------------- */ function DivergeChart() { const W = 520, H = 220, PAD = 24; const n = 40; const bell = [], risk = []; for (let i = 0; i < n; i++) { const t = i / (n - 1); bell.push(0.7 - 0.62 * Math.pow(t, 1.3)); // call-bell rate drops risk.push(0.2 + 0.7 * Math.pow(t, 1.5)); // risk climbs } const x = (i) => PAD + (i / (n - 1)) * (W - PAD * 2); const y = (v) => H - PAD - v * (H - PAD * 2); const line = (arr) => 'M ' + arr.map((v, i) => `${x(i).toFixed(1)},${y(v).toFixed(1)}`).join(' L '); return ( call-bell rate risk ); } function CounterSection() { return (
The counter-intuitive part

When she stops pressing the call bell, we get more worried.

Going quiet doesn't mean she's fine. It means she's stopped expecting help. A flattening voice, shortening conversations, a call bell that falls silent, is the single strongest predictor of a stay that ends badly. Every system built on patient feedback misses this by design: by the time she'd complain, she's already stopped trying.

); } function DivergeLiveMount() { const DivergeLive = window.DivergeLive; return ; } Object.assign(window, { Container, Section, Nav, Hero, ProblemSection, DataFlowSection, InsightSection, CounterSection });