RiskSense for Payers

Api Service

B2b

ScoreSteady

WedgeRun a tightly scoped payer pilot demonstrating reduced ED visits in a 3–6 month cohort using non-camera sensors and wearables, then commercialize the outcome-linked contract model.

Core ValueReduce acute events and associated costs by surfacing privacy-safe near-term risk signals for payers.

WhomValue-based care program leads at insurers and health systems

Why NowPayers face rising senior-care costs and are under pressure to fund preventive, measurable interventions; non-camera monitoring reduces privacy/legal friction now.

The Pitch

Idea Description

Camera-free risk prediction & outcomes platform for insurers and health systems to identify seniors at elevated near-term risk (falls, acute events) using aggregated wearable and ambient signals plus clinical risk factors. - Provides risk scoring, cohort dashboards, and outcome-linked contracting tools so payers can fund preventive visits or remote monitoring. - Monetized via annual SaaS licensing and outcome-based shared-savings pilots with insurers or health networks.

The Edge

Differentiator

Outcome-first commercial model combined with validated, privacy-preserving sensor fusion; competitors lack both enterprise integrations and payer-aligned contracting.

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Topic

1. 해결하려는 문제 (Problem) 독거 고령층의 안전 모니터링 수요 급증: 고령화 사회에서 홀로 계신 부모님의 안전(낙상, 돌연사 등)을 확인하고 싶어 하는 자녀들의 불안감 해소 필요. 프라이버시 침해 및 거부감: 기존의 홈 카메라(CCTV) 기반 모니터링은 인지 기능이 정상인 노인들에게 감시당한다는 불쾌감과 극심한 심리적 불안감을 주며, 사생활 노출 위험이 큼. 2. 제안하는 해결책 (Solution) 카메라 없는(Camera-free) 안심 라이프 케어 서비스: 사생활 침해 요소인 카메라를 완전히 배제하고, 일상 기기와 공간 센서만을 활용하여 노인의 생활 패턴을 조용하게 모니터링하는 시스템. 3. 시스템 구성 및 핵심 기술 (System & Technology) 멀티모달 센서 퓨전 (Multi-modal Sensor Fusion): 대상자의 스마트폰 + 웨어러블 기기 + 실내 공간별 고정 센서(Ambient)의 데이터를 결합. 기저질환 연동형 AI 맥락 추론:

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