Amissa Health
Digital health platform for longitudinal monitoring that integrates consumer wearable sensor data and patient-reported symptom capture to support clinician review and clinical research. Core features include low-burden mobile and web data capture, cloud-native time-series analytics and change detection, de-identification and structured dataset export for research governance, clinician-facing longitudinal visualizations with EHR export, and consent-managed research opt-in workflows. The platform describes HIPAA-aligned controls and ISO 27001 compliance, supports scalable, API-driven high-frequency sensor ingestion, and maintains academic research partnerships and grant support for wearable-based monitoring and machine-learning research.
Industries
Nr. of Employees
small (1-50)
Products
Amissa Health Platform
A cloud-based platform that collects and analyzes health and behavior data from consumer smartwatches to support research and clinical care in menopause and Alzheimer's disease.
Wearable Data Collection and Analysis Service
A service that facilitates effortless enrollment, seamless data collection, and real-time analysis of health metrics from wearable devices for clinical and research use.
Machine Learning Models for Preclinical Alzheimer’s Prediction
Machine learning models that analyze wearable sensor data to predict preclinical Alzheimer’s disease and support dementia research.
Amissa Health Platform
A cloud-based platform that collects and analyzes health and behavior data from consumer smartwatches to support research and clinical care in menopause and Alzheimer's disease.
Wearable Data Collection and Analysis Service
A service that facilitates effortless enrollment, seamless data collection, and real-time analysis of health metrics from wearable devices for clinical and research use.
Machine Learning Models for Preclinical Alzheimer’s Prediction
Machine learning models that analyze wearable sensor data to predict preclinical Alzheimer’s disease and support dementia research.
Services
Delivers longitudinal visualizations and analytics of patient symptoms and wearable-derived metrics to support clinical assessment and treatment decisions, with EHR export to reduce documentation burden.
Mobile and web tools for patients to record symptoms, review trends, set symptom goals, and prepare summaries for clinical encounters to support self-management during the menopause transition.
Platform services to onboard participants, configure study-specific tracking, passively collect wearable data, monitor adherence, and export de-identified datasets for analysis and publication aligned with research governance.
Delivers longitudinal visualizations and analytics of patient symptoms and wearable-derived metrics to support clinical assessment and treatment decisions, with EHR export to reduce documentation burden.
Mobile and web tools for patients to record symptoms, review trends, set symptom goals, and prepare summaries for clinical encounters to support self-management during the menopause transition.
Platform services to onboard participants, configure study-specific tracking, passively collect wearable data, monitor adherence, and export de-identified datasets for analysis and publication aligned with research governance.
Expertise Areas
- Remote patient monitoring and longitudinal symptom tracking
- Digital biomarker discovery from consumer wearable signals
- Cloud-native time-series analytics and scalable sensor ingestion
- Decentralized and hybrid clinical study operations and participant engagement
Key Technologies
- Wearable sensor data integration
- Accelerometry and gyrometry (motion sensors)
- Location data capture
- Photoplethysmography-derived heart rate and oxygen saturation (SpO2)
News & Updates
Webinar demonstrating integration of symptom and wearable data into clinical workflow led by an advisory-board clinician; includes practical examples of using platform insights in care.
Article discussing how perimenopause affects sleep and practical recommendations including CBT-I, sleep hygiene, medication options, and the role of wearable tracking for sleep.
Overview of night sweats and vasomotor symptoms, their health associations, treatment options including hormone therapy and non-hormonal medications, and the value of wearable tracking for monitoring night sweats.
Discussion of a cloud-native, API-driven architecture for collecting high-frequency data from consumer wearables, supported sensor types, sub-minute sampling tradeoffs, and ISO 27001 information security compliance for research use.
Clinician-focused summary on sleep disturbances during perimenopause, links to sleep disorders such as sleep apnea, and how wearable tracking can augment clinical assessment.
Article reviewing musculoskeletal symptoms in menopause, distinctions between arthralgia and osteoarthritis, potential causes, and management strategies including tracking to guide care.
Webinar demonstrating integration of symptom and wearable data into clinical workflow led by an advisory-board clinician; includes practical examples of using platform insights in care.
Article discussing how perimenopause affects sleep and practical recommendations including CBT-I, sleep hygiene, medication options, and the role of wearable tracking for sleep.
Overview of night sweats and vasomotor symptoms, their health associations, treatment options including hormone therapy and non-hormonal medications, and the value of wearable tracking for monitoring night sweats.
Discussion of a cloud-native, API-driven architecture for collecting high-frequency data from consumer wearables, supported sensor types, sub-minute sampling tradeoffs, and ISO 27001 information security compliance for research use.
Clinician-focused summary on sleep disturbances during perimenopause, links to sleep disorders such as sleep apnea, and how wearable tracking can augment clinical assessment.
Article reviewing musculoskeletal symptoms in menopause, distinctions between arthralgia and osteoarthritis, potential causes, and management strategies including tracking to guide care.