Search results for Pattern Monster

Accofrisk AI Health is an AI platform for non-invasive health monitoring that creates digital twins of employees and patients, assesses physical and mental conditions, provides personalized recommendations, and prevents burnout. The platform measures over 300 health parameters — from brain, heart, lung, and kidney function to sleep quality, stress, and emotional state. It integrates with corporate and medical information systems, supports telemedicine and the Internet of Behaviors (IoB), and generates reports to improve productivity and well-being. Suitable for clinics, corporate wellness programs, sports teams, and high-risk industries. Employees and patients connect to the platform via ACCO terminal wearable devices, which enable continuous data collection and automatic upload of metrics to the user's digital profile. The platform supports an open API for integration with external systems, an SDK for custom application development, MCP for connecting to generative models (Gemini, ChatGPT, Claude), data export in JSON, CSV, and FHIR formats, as well as flexible deployment options — in the cloud or on client infrastructure.

Hello Heart is the only digital therapeutics company to focus exclusively on heart disease, the leading cause of death for U.S. adults. Through a connected device and mobile app that uses AI, behavioral science, and personalized digital coaching to drive lifestyle changes, Hello Heart empowers people to embrace healthier behavior, which can reduce the risks of high blood pressure and heart disease. It also helps users catch blood pressure readings that are extremely high and encourages them to talk to their doctor to identify potential risk in time. Hello Heart is easy to use and works alongside an employers benefits ecosystem. Founded in 2013, Hello Heart is a member of the American Heart Associations Innovators Network and is part of the CVS Health Point Solutions Management program.

Pixacare is a AI-powered wound care management platform. It standardizes medical photography and, through WoundTrack II — its AI module, Class IIa CE-marked (MDR 2017/745, notified body DNV no. 2460) — automatically measures and analyzes chronic wounds (surface area in cm², tissue composition), then streamlines clinical documentation into clear, shareable dashboards. With remote monitoring, the ePRO module collects structured patient feedback and strengthens coordination between hospital teams and community providers. Clinical studies show up to 35 days faster healing, a 55% reduction in follow-up consultations, and an estimated €1,666 saved per patient (Maxant et al., International Wound Journal, 2025, n=103 patients, chronic wounds). For research, Pixacare includes a module that connects to the study's eCRF, designed to collect reliable data and standardize measurements.