About
MedAware is a clinical AI platform designed to provide a safety layer within health data systems by continuously monitoring for dangerous and often undetected medication-related risks. Unlike traditional rule-based drug safety tools, MedAware employs proprietary machine learning algorithms and outlier detection mechanisms—similar in methodology to financial fraud detection—to surface novel, clinically relevant alerts that existing EHR decision-support systems miss. The platform integrates seamlessly with existing health data environments through vendor-agnostic APIs, including a dedicated workflow application built into Epic. It monitors patients 24/7 across all stages of care, from prescription through administration, identifying risky drug combinations, dosing anomalies, and patient-specific contraindications in real time. MedAware is trusted by leading healthcare institutions including Sheba Medical Center, Assuta Ashdod, Brigham and Women's Hospital, and Mayo Clinic. Its high clinical relevance drives meaningful physician behavior change—doctors regularly modify prescriptions in response to MedAware warnings—resulting in measurable improvements to patient safety, financial outcomes, and operational efficiency. The solution is ideal for hospitals, health systems, and pharmacy teams seeking to go beyond standard EHR alerting and reduce preventable medication harm. By providing intelligent, context-aware decision support, MedAware helps clinical staff act faster and more confidently, ultimately lowering liability and delivering immediate ROI through reduced adverse drug events.
Key Features
- AI-Powered Outlier Detection: Uses advanced machine learning algorithms—similar to financial fraud detection—to identify dangerous medication risks that rule-based systems miss.
- 24/7 Continuous Monitoring: Monitors patients around the clock across all stages of care, from prescription through administration, generating real-time safety alerts.
- Epic & EHR Integration: Integrates directly into Epic and other health data systems via vendor-agnostic APIs, fitting into existing clinical workflows without disruption.
- Clinically Relevant Alerts: Delivers high-accuracy, context-aware alerts that drive meaningful physician behavior change and actual prescription modifications.
- Flexible, Vendor-Agnostic APIs: Configures within any existing health data environment or connected device through open, interoperable API architecture.
Use Cases
- Hospital pharmacy teams using MedAware to drive thousands of patient interventions annually by catching high-risk prescriptions before they reach patients.
- Health systems integrating MedAware alongside Epic to provide an additional AI-driven safety layer beyond standard EHR alerting.
- Chief Medical Officers and patient safety committees deploying MedAware to reduce preventable medication errors and lower clinical liability.
- Clinical informaticists leveraging MedAware's vendor-agnostic APIs to connect medication safety monitoring across disparate health data systems.
- Rheumatology, internal medicine, and other specialty departments using MedAware alerts to catch drug risks specific to complex, multi-medication patient profiles.
Pros
- Beyond Rule-Based Alerting: Machine learning detects novel, previously undetected risks that traditional EHR decision-support tools consistently miss.
- Proven Clinical Impact: Endorsed by leading institutions including Harvard, Mayo Clinic, and Sheba Medical Center, with demonstrated physician behavior change and measurable ROI.
- Seamless EHR Integration: Vendor-agnostic APIs and Epic-native workflow apps allow deployment without overhauling existing clinical infrastructure.
- 24/7 Automated Risk Monitoring: Continuous monitoring removes reliance on manual review, ensuring medication risks are caught at any hour across the full patient journey.
Cons
- Enterprise-Focused Pricing: Designed for hospitals and large health systems; likely cost-prohibitive for smaller clinics or individual practitioners.
- Implementation Complexity: Integration with EHR systems and health data infrastructure may require significant IT and clinical informatics resources to deploy.
- Limited Public Pricing Transparency: Pricing and plan details are not publicly available, requiring direct engagement with MedAware's sales team to evaluate costs.
Frequently Asked Questions
How is MedAware different from built-in EHR drug safety alerts?
MedAware uses machine learning and outlier detection rather than static rule sets. This allows it to identify novel, patient-specific medication risks that standard EHR decision-support tools—which rely on predefined rules—consistently fail to catch.
Which EHR systems does MedAware integrate with?
MedAware offers vendor-agnostic APIs that support multiple health data environments. It has a dedicated workflow application integrated with Epic, and can connect to other EHR and health data systems through its flexible API layer.
What types of medication risks does MedAware detect?
MedAware identifies a range of preventable medication-related risks including dangerous drug combinations, dosing anomalies, patient-specific contraindications, and other clinically significant prescribing errors that may go undetected by traditional systems.
Who uses MedAware?
MedAware is used by hospitals and health systems globally, including Sheba Medical Center, Assuta Ashdod, and institutions affiliated with Harvard Medical School and Mayo Clinic. It is designed for pharmacists, physicians, and clinical informatics teams.
Does MedAware provide ROI for hospitals?
Yes. MedAware is designed to deliver immediate ROI through reduced patient harm, lower liability exposure, and decreased costs associated with preventable adverse drug events. Clinical leaders at partner institutions have confirmed both patient safety improvements and financial benefits.
