Rhythia is an AI‑powered health intelligence platform that aggregates medical records, lab results, wearable data, symptoms, and lifestyle trends into a single longitudinal view for clinicians and patients. By applying pattern‑recognition algorithms, it highlights coordinated changes—such as simultaneous sleep fragmentation, HRV decline, and resting heart‑rate drift—to surface actionable insights during a visit. The tool supports physicians in making informed decisions without replacing clinical judgment.
Funding
Funding not disclosed
Founders
Product
Problem
Physicians often rely on fragmented snapshots of patient data—separate medical records, lab results, wearable metrics, and patient recollection—making it difficult to detect continuous health patterns during brief office visits.
Solution
Rhythia provides an AI‑driven health intelligence layer that consolidates medical history, wearable data, labs, symptoms, and lifestyle information into a single longitudinal view. The platform automatically detects concurrent changes across signals such as sleep fragmentation, heart‑rate variability, and resting heart rate, and surfaces these patterns to clinicians. During the visit, Rhythia suggests targeted questions based on the identified trends, helping clinicians focus the conversation on the most relevant issues. By highlighting meaningful correlations without replacing clinical judgment, the system enables more proactive and informed decision‑making. The solution is delivered as a web‑based dashboard that integrates with existing electronic health record workflows.
Target Audience
Primary users are physicians and clinical care teams seeking to incorporate continuous digital health data into routine outpatient visits, as well as health systems aiming to enhance proactive patient monitoring.
Features
- Unified timeline that merges EHR data, wearable metrics, lab results, and patient‑reported symptoms
- AI pattern‑recognition engine that flags simultaneous shifts in multiple health signals
- Contextual question prompts generated from detected patterns to guide clinical interviews
- Visual analytics showing trend clusters, magnitude of change, and confidence scores
- Secure, HIPAA‑compliant data handling with patient‑controlled sharing settings