MDI Health offers a personalized AI medication management platform that autonomously identifies high-risk patients and generates actionable clinical recommendations to mitigate medication-related risks. This solution addresses the $528 billion annual burden of drug-related morbidity and mortality by significantly reducing unnecessary prescriptions and hospitalizations, saving up to $2,000 per patient per year.
Funding
$20M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Medication-related problems, such as adverse drug events and hospitalizations, contribute significantly to healthcare costs and preventable deaths. Current medication management processes often fail to identify and address individual patient risks at scale, leading to unnecessary prescriptions and adverse outcomes. Analyzing complex patient data to uncover true medication-related risks is time-consuming and prone to errors.
Solution
MDI Health offers an AI-powered medication management platform designed to identify high-risk patients and autonomously generate actionable clinical recommendations. The platform analyzes individuals holistically, considering factors beyond medications, such as medical history, demographics, and lab data, to uncover medication-related risks. By automating the analysis process, MDI Health reduces analysis time and increases member reach, enabling payers and value-based providers to manage high-risk populations more effectively. The platform's personalized approach helps avoid unnecessary prescriptions, clinic visits, hospitalizations, and readmissions, leading to significant cost savings and improved patient outcomes.
Target Audience
The primary target audience includes health plans, value-based providers, health systems, and pharmacies/PBMs seeking to reduce medication-related risks, improve patient outcomes, and lower healthcare costs.
Features
- AI-driven analysis of patient data to identify medication-related risks
- Automated generation of clinical recommendations
- Holistic patient analysis considering medical history, demographics, and lab data
- Identification and prioritization of high-risk patients
- SOC 2 Type II certification ensuring data integrity and security
- Opportunity reports highlighting potential financial and clinical impact
- Continuous monitoring of health and medication treatment changes