MDose provides an AI‑driven platform that integrates with existing EHR, lab, and scheduling systems to deliver real‑time clinical insights and predictive risk analytics.
Funding
Funding not disclosed
Founders
Product
Problem
Healthcare providers often struggle with fragmented patient data, manual workflow steps, and limited ability to identify patients at risk, leading to inefficient operations and suboptimal clinical decisions.
Solution
MDose offers an AI-driven platform that integrates with existing health IT systems to deliver real-time, actionable insights from patient records. The platform applies predictive risk analytics to flag high‑risk individuals early, enabling proactive interventions. It also automates personalized patient communications, improving engagement and adherence. By analyzing workflow patterns, MDose recommends process optimizations that reduce administrative burden and accelerate decision‑making. Continuous monitoring and iterative refinement ensure the AI models remain accurate and aligned with each practice’s evolving needs.
Target Audience
Primary customers are hospitals, health systems, and outpatient clinics seeking to enhance clinical decision support, reduce operational inefficiencies, and improve patient engagement.
Features
- Integration layer that ingests data from EHRs, labs, and scheduling systems for unified analytics
- Predictive risk models that score patients for conditions such as readmission, sepsis, and chronic disease exacerbation
- Automated, AI‑generated patient outreach messages tailored to individual health status and preferences
- Workflow optimization engine that identifies bottlenecks and suggests task reallocation or automation
- Real‑time clinical dashboards with visualized insights, trend alerts, and drill‑down capabilities
- Ongoing performance monitoring and model retraining to maintain accuracy over time