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Clinical Focus
Early detection & management of VHD, AFib, and heart failure via AI.
Solution Footprint
BLE devices → Native iOS/Android → Cloud analytics → EHR integration.
Compliance & Security
HIPAA-ready architecture, role-based access, PHI safeguards.
About the Client
A Med-Tech company reimagining cardiac and pulmonary diagnostics with a portfolio of advanced digital stethoscopes and an AI-driven detection platform adopted globally by clinicians. Their goal: faster, earlier, and more accurate detection to elevate standards of patient care.
Clinical Context
Valvular Heart Disease (VHD) is a silent, prevalent threat among older adults. Many moderate-to-severe cases are asymptomatic and routinely missed by standard assessment methods, delaying diagnosis until emergency admissions.
Vision
Blend FDA-cleared AI with digital auscultation and ECG to flag VHD, AFib, and cardiac decompensation in real time—while fitting naturally into existing clinical workflows across clinics and large hospital systems.
Key Challenges
- Detecting VHD early despite non-specific or absent symptoms.
- Low sensitivity of routine assessments leading to missed cases.
- Clinician adoption hurdles when new tools don’t align with workflows.
- Secure movement of multi-modal cardiac signals from bedside to cloud.
- Interfacing with EHRs at scale for automated charting and longitudinal care.
Objectives
- Combine digital stethoscope audio with ECG and ML for point-of-care triage.
- Ensure clinician-first UX for both data capture (patients) and review (providers).
- Enable real-time analytics and decision support via secure cloud.
- Integrate cleanly with provider EHR ecosystems and downstream systems.
What IdeaUsher Built
Point-of-Care Platform
End-to-end, from BLE device connectivity to secure cloud ingestion and real-time clinical insights surfaced at the bedside.
Native Mobile Apps (iOS & Android)
Modular architecture for reusability and rapid iteration; streamlined capture for patients and efficient review flows for clinicians.
Intuitive UX
Frictionless data recording, clinician decision support, and visual clarity for cardiac sounds, ECG waveforms, and AI flags.
BLE Device Integration
Robust Bluetooth Low Energy pairing and streaming for proprietary digital stethoscopes to ensure low-latency, reliable transfer of signals.
EHR-Ready Interfaces
Scaled for large health systems—patient identification, orders/results, and automated charting to close the loop inside the EHR.
Cloud Analytics
Secure, near real-time processing and ML inference to deliver provider-ready insights where care decisions are made.
Clinical & Operational Impact
- HIPAA-Aligned Differentiation: Security and compliance elevated the platform’s market position.
- Flexible Capture: Data collection across wards, fitting rooms, and community settings improved accessibility.
- Quality Control: Real-time upload & senior review with re-capture prompts reduced errors and delays.
- Accuracy & Consistency: Digital capture removed physical artefacts and supported precise duplication.
- Efficient Retrieval: Smart file management accelerated clinician workflows.
Where This Works Best
- Cardiology clinics and community screening programs.
- Emergency and urgent care triage pathways.
- Primary care networks supporting earlier referrals.
- Large IDNs requiring bullet-proof EHR interoperability.
Technology Snapshot
- BLE streaming & device SDK integration (digital stethoscope, ECG).
- Native iOS/Android with modular architecture and offline-first flows.
- Cloud ingestion, near real-time ML inference, analytics dashboards.
- EHR integration (orders, results, charting) through standards-first interfaces.
Compliance & Data Protection
- HIPAA-ready design; PHI encrypted in transit and at rest.
- Role-based access control and audit trails.
- Data retention and lifecycle management aligned to provider policy.
Build the Future of Point-of-Care AI
Looking to connect a proprietary device, ship real-time analytics, or make your EHR workflows sing? IdeaUsher can help—from HIPAA-ready architecture to pixel-perfect clinician UX.
