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Dyno50 · Dyno100
Multi-sensor capture device. Acquires cardiac, respiratory, body-composition, and vital-sign data in a single sitting — no separate cuff, scale, or thermometer.
§ 01 Remote Patient Monitoring
Multi‑parameter
health monitoring,
between visits.
DynoSense is an AI remote monitoring platform for chronic, post-acute, and at-risk patient populations. A single multi-sensor station captures dozens of physiologic measurements; clinicians review a longitudinal record through a workflow that fits inside existing care plans.
33
Health metrics per scan
<60s
Scan duration
9
Integrated sensor modalities
§ 02 The Platform
Four components.
One longitudinal record.
The DynoSense system covers the full data path — capture at the patient, secured transit, clinical interpretation, and patient engagement — without stitching together third-party hardware or apps.
DynoCloud
Secure data layer
HIPAA-aligned ingest, storage, and audit trail. End-to-end encryption, role-based access, retention policies aligned to clinical record-keeping requirements.
DynoCare
Clinician workspace
A longitudinal record per patient. AI-assisted trend lines, threshold alerts, intervention notes, and care-team messaging. Designed to fit existing chronic-care workflows.
DynoLife
Patient application
A patient-facing AI companion. Guided scans, plain-language readings, medication reminders, and a private channel to the assigned care team.
§ 03 Hardware
Built around one device.
A small family of capture devices designed to work as one system. One sitting, one record — no stitching of third-party hardware to make the math work.
Dyno50 · The capture station
Multi-modal capture, in a single sitting.
Dyno50 is the multi-sensor station the rest of the system is built around. Cardiac, respiratory, body-composition, and vital-sign data from one device — sensor fusion across nine integrated modalities, captured in a single session.
- 9 integrated sensor modalities
- 33 derived clinical metrics
- Single-session capture
- Outpatient and home-deployable
§ 04 What it measures
A single system,
thirty-three measurements.
Categories below indicate the kinds of measurements available from one capture session. Specific metrics surface in the clinician record depending on the configured care plan and scanner model.
Cardiac
- Heart rate
- Heart-rate variability
- Pulse waveform
- Systolic BP
- Diastolic BP
- Arterial stiffness index
Respiratory
- Respiratory rate
- SpO₂
- Breathing pattern
- Cough cadence
Body composition
- Weight
- Body fat %
- Lean mass
- Hydration
- Visceral index
- BMI
Thermal & metabolic
- Core temperature
- Peripheral temperature
- Basal metabolic estimate
Neurological & balance
- Postural sway
- Gait cadence
- Reaction proxy
Derived indices
- Health Score
- Health Grade
- Trend delta
- Risk flags
- Adherence index
- Activity load
- Sleep load
- Recovery index
§ 05 For Clinicians
Designed to land inside existing workflows — not replace them.
DynoSense is built around how primary care, cardiology, and post-acute teams actually run a panel. Threshold alerts route to the right clinician, raw signals stay available for audit, and reimbursement codes are documented at the point of capture.
01
Workflow fit
DynoCare presents one longitudinal record per patient. Threshold alerts route to the assigned clinician, not the inbox.
02
Reimbursement
Captured data and clinician time map to existing remote physiologic monitoring (RPM) and chronic care management (CCM) codes.
03
Compliance
HIPAA-aligned infrastructure with documented access logs, BAA-ready, and retention controls.
04
Evidence
Raw signals are retained alongside derived scores. Clinicians can audit the trace behind any flag.
05
Scale
A single scanner serves a panel. Onboarding a new patient takes minutes; no in-home installation required.
06
EHR alignment
Export to FHIR-compatible bundles. Integration paths for the major EHR vendors are scoped on a per-deployment basis.
§ 06 Care settings
Deployed across chronic, acute, and transitional care.
01 / 08
Congestive heart failure
Daily weight, fluid status, and rhythm flags
→
02 / 08
Hypertension
BP trend with adherence and lifestyle context
→
03 / 08
Chronic kidney disease & dialysis
Inter-dialytic monitoring, fluid balance
→
04 / 08
Post-discharge transitions
30-day readmission window, escalation paths
→
05 / 08
Diabetes & metabolic
Weight, composition, activity, derived risk
→
06 / 08
Elderly & assisted-living
Falls proxy, gait, vitals continuity
→
07 / 08
Maternal monitoring
Antepartum vitals and weight trajectory
→
08 / 08
Acute respiratory
SpO₂, RR, and temperature for at-home surveillance
→
§ 07 Analytics
From raw signal,
to clinical signal.
The DynoSense analytics layer compresses dozens of streams into two clinician-facing summaries — the Health Score, a 0–100 composite, and the Health Grade, a categorical band — with full drill-down to the underlying trace.
Composite scoring
A weighted model across cardiac, respiratory, composition, and behavioral channels — calibrated per care plan.
Trend deltas
Day-over-day and rolling-window deltas highlight clinically meaningful change rather than absolute thresholds alone.
Auditable trace
Every score is reproducible: clinicians can open the underlying signals and inputs at any point in time.
§ 08 AI Layer
Intelligence at every layer.
Capture is the start, not the product. The DynoSense system layers intelligence over every step from reading to intervention — tuned per audience, never autonomous.
For the patient
User experience
Plain-language readings, contextual prompts, and reminders that learn from the patient's own history — not generic schedules. Fewer false alarms, clearer next steps.
For the clinician
Interpretation
Anomaly detection that filters noise from signal. Trend summaries grounded in the longitudinal record, not absolute thresholds alone. The clinician keeps the call; AI does the prep.
For care teams
Notifications
Alerts routed by clinical relevance, not volume. The right person sees the right reading at the right time. The patient hears less, more meaningfully.
For care managers
Reporting
Morning AI-generated digests per panel. Risk-delta queues, drafted intervention notes, and code-eligible event flagging — ready for review, never autonomous.
§ 09 Vignettes
How clinical signal changes a care decision.
Anonymized composites drawn from deployments. Patient details have been altered; clinical patterns are representative.
Cardiology
Heart failure, NYHA II–III
A 67-year-old with recurrent CHF admissions. Daily scans surface a 2.1 kg weight gain over four days, prompting a same-week diuretic adjustment by the care team. Hospitalization avoided.
Case A · composite vignette
Primary care
Stage 2 hypertension
A 54-year-old with poorly-controlled BP. Eight weeks of paired BP and adherence data lets the physician titrate medication remotely; readings stabilize without an additional in-person visit.
Case B · composite vignette
Surgical recovery
Post-discharge, total knee
A 71-year-old in the 30-day readmission window. Daily gait, temperature, and SpO₂ scans flag an early surgical-site concern; outpatient assessment scheduled within 48 hours.
Case C · composite vignette
§ 10 Science & Publications
Methods, papers,
and field reports.
Whitepaper
Multi-parameter monitoring in chronic disease management
Working paper · 2024
↗
Engineering
Multimodal sensing and the integrated home-monitoring station
Conference proceedings
↗
Workflow
Operational integration of RPM into chronic-care workflows
Practice guide · 2023
↗
Usability
Patient-reported usability of single-station vital capture
Field study
↗
§ 11 Company & Investors
Building the quiet infrastructure of remote care.
DynoSense is a privately-held medical technology company. The platform is a long-cycle effort: hardware, signal processing, clinical informatics, and the regulatory work that allows each to be deployed at scale.
Market
The U.S. remote patient monitoring market is forecast to grow at a double-digit CAGR through 2030, driven by chronic disease prevalence, hospital-at-home reimbursement, and CMS coverage of RPM and CCM codes.
Intellectual property
Proprietary multi-sensor capture, signal-fusion algorithms, and a Health-Score model. Patent portfolio in active prosecution; details available under NDA.
Traction
Pilots and commercial deployments across primary-care, cardiology, and post-acute settings. Technology validation through partner studies.
Team
Founded by veterans of medical-device engineering, signal processing, and clinical informatics.
§ 12 Inquiry
Talk to the clinical team.
Tell us who you are and how DynoSense fits into what you're building. Demos run roughly thirty minutes and are scoped to the audience.
I am a…
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