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MedAware

by MedAware · Based in Israel → — AI-based medication safety monitoring platform

Emergency Medicine Hospital Medicine Internal Medicine

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Overview

MedAware is an AI-powered medication safety monitoring platform designed to identify and prevent medication-related errors and adverse drug events (ADEs). Unlike traditional rule-based clinical decision support (CDS) systems that rely on pre-programmed logic, MedAware utilizes machine learning algorithms and statistical outlier detection to analyze patient data against historical prescribing patterns. This approach allows the platform to flag potential prescribing anomalies that do not align with the specific clinical profile of the patient, physician, or institution.

The platform is built for healthcare providers, clinical care teams, and acute care pharmacists operating in hospitals, health systems, and long-term care facilities. It integrates directly into existing electronic health record (EHR) systems, such as Epic, and operates continuously in the background. This native integration allows clinicians to receive real-time, patient-specific risk alerts directly within their established clinical workflows, minimizing alert fatigue by focusing on high-relevance clinical anomalies.

Notable capabilities of MedAware include:

Continuous Surveillance: Evaluates patient data 24/7 to identify evolving risks during a hospital stay as a patient’s clinical status changes.
Outlier Detection: Uses machine learning to identify off-pattern prescriptions, dosing errors, and contraindications that standard rule-based systems may miss.
Targeted Risk Identification: Features specialized models to screen for specific medication-related risks, such as opioid dependency risk and high-alert medication errors.

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Key Features

AI-based medication safety monitoring
Real-time detection of medication errors
Identification of adverse drug events (ADEs)
Opioid dependency risk identification
Machine learning algorithms for outlier detection
Integration with existing EHRs and technology systems
Reduction of alert fatigue with highly relevant alerts
Continuous monitoring throughout the patient journey
Personalized patient-specific risk analysis
Support for pharmacy workflows

Use Cases

Preventing prescription errors at the point of care
Identifying and mitigating evolving adverse drug events
Detecting patient-specific risk of opioid use disorder (OUD)
Improving patient safety in hospitals and health systems
Optimizing pharmacy workflows and operational efficiency
Providing clinical decision support for prescribers and care teams

What Physicians Need to Know

Evidence Base

MedAware utilizes AI and machine learning algorithms to analyze large-scale Electronic Medical Records (EMRs) and identify 'outliers' in prescribing patterns. This approach differs from traditional rule-based systems. It learns from real-life physician treatment scenarios and patient data to detect potential errors and risks, including those related to adverse drug events, opioid dependency, and medication appropriateness based on lab results.

Clinical Validation Studies

MedAware's platform has undergone clinical validation. A study at Sheba Medical Center showed that MedAware's machine learning platform significantly minimized medication-related risks, with 89% of alerts considered accurate and 80% clinically useful. Another study published in the Journal of American Medical Informatics Association found that MedAware's system generated clinically valid medication error alerts that traditional CDS systems might miss, with 76.2% of alerts found to be valid and 75% of those clinically useful. A Harvard Medical School study validated MedAware's algorithm for identifying patients at risk of Opioid Use Disorder (OUD) with over 93% accuracy.

Alert Fatigue Management

MedAware's AI-driven approach aims to significantly reduce alert fatigue by providing highly personalized and clinically relevant alerts. Studies indicate that MedAware can reduce the number of alerts by over 90% compared to conventional systems, which often have high false-positive rates (up to 90%). This increased accuracy leads to greater clinician confidence and attention to alerts.

Override Rate Data

While conventional systems often see only about 5% of medication alerts accepted, MedAware's alerts result in clinicians adjusting their behavior in 43% of cases. This high rate of behavioral change indicates a strong clinical relevance and acceptance of MedAware's alerts.

Drug Interaction Checking

MedAware's AI-powered system goes beyond traditional drug-drug interaction knowledge bases by analyzing patient-specific and provider-specific context to identify dangerous drug combinations and other medication-related risks. It can identify 80% more high-risk prescriptions compared to traditional rule-based systems.

Differential Diagnosis Support

While MedAware primarily focuses on medication safety and error detection, its AI analyzes patient data to identify outlier prescribing behaviors and inconsistencies, which can indirectly support differential diagnosis by flagging medications inappropriate for a patient's profile or condition.

Clinical Workflow Integration

MedAware is designed to integrate seamlessly as a safety and workflow optimization layer within existing Electronic Health Record (EHR) systems, such as Epic and athenahealth, without requiring significant overhauls. It embeds clinically relevant, patient-specific insights directly into the existing ordering/prescribing, order review and verification, dispensing, and clinical monitoring workflows.

Decision Audit Trail

MedAware's system monitors in real-time and is aware of a patient's past medical history, capable of pointing to future potential risks. This continuous monitoring and alerting within the workflow inherently creates a record of detected risks and interventions, supporting an audit trail for medication-related decisions.

Physician Tip

MedAware's AI acts as a personalized safety net, identifying medication errors and risks that traditional systems often miss. Pay close attention to MedAware's alerts, as they are highly relevant and patient-specific, leading to a significant change in prescribing behavior in many cases. The system continuously monitors patient data, including changes in clinical status, to provide timely interventions. Leverage this tool to enhance patient safety, particularly in complex cases or when prescribing high-alert medications, and to reduce your cognitive load from irrelevant alerts.

MedAware integrates as a supplementary layer within existing EHR systems like Epic and athenahealth, enhancing their medication safety capabilities without requiring a complete system overhaul. It also collaborates with medical device companies, such as Baxter International, to embed its AI algorithms into devices like smart infusion pumps for improved programming safety.

At a glance

Pricing Contact for pricing

Deployment On Premise (integrated With EHRs)

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Details

Category	Clinical Decision Support & Reference, Pharmacology & Dosing AI
Pricing	Contact for pricing
Deployment	On-premise (integrated with EHRs)
Compliance
BAA Available	Unknown AI-estimated
HIPAA Compliant	Unknown AI-estimated
FDA Status	Unknown AI-estimated
Integrations
EHR	Not specified
Specialties	Emergency Medicine, Hospital Medicine, Internal Medicine

What the Web Says

MedAware is a medication safety monitoring platform that uses AI and machine learning to detect and prevent prescription errors and adverse drug events. It integrates with existing Electronic Health Record (EHR) systems and aims to reduce alert fatigue by providing highly accurate and personalized alerts. Studies have shown its effectiveness in identifying errors that traditional rule-based systems miss and improving patient safety.

Overall: Positive

Strengths

Significantly reduces medication errors and adverse drug events.
Leverages AI and machine learning to identify outlier prescribing behaviors and evolving risks.
Reduces alert fatigue by providing highly accurate and clinically relevant alerts, with high physician acceptance rates.
Integrates with existing EHR systems like Epic and athenaOne, and can also be embedded in smart infusion pumps.
Provides continuous 24/7 monitoring across the care continuum.
Identifies risks like opioid use disorder (OUD) and errors related to physician fatigue, workload, and inexperience.

Limitations

Specific integration details with all EHR systems are not publicly detailed.
Success is highly dependent on integration with existing infrastructure and work practices.
The system's effectiveness relies heavily on the quality and completeness of underlying EHR data.
Operating in a risk-averse and highly regulated industry, requiring continuous research to validate its system.
Potential for older prescription patterns to become outdated as medical science evolves.
No reviews found on G2, Capterra, or Reddit specifically for 'MedAware' (medaware.com) as a medication safety platform; search results for these platforms yielded reviews for other medical software or general medical alert systems.

Based on reviews from: Elion Health, Volvenix, Indeed.com, Forbes, Sheba Medical Center, Digital Innovation and Transformation, Dark Daily, PR Newswire, PubMed, YouTube

Last updated: 2026-07-02

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Press & Coverage

Forbes

Using AI To Personalize Healthcare And Improve Patient Safety

This article discusses how MedAware's AI platform is being used to personalize healthcare and improve patient safety, highlighting its integration with Ballad Health's Epic EMR system and its ability to identify patients at risk of Opioid Use Disorder.

2024-11

PR Newswire

MedAware Partners with Ballad Health's pharmacy team to bring personalized medication risk monitoring to rural healthcare

MedAware announced a partnership with Ballad Health to implement its AI-based medication safety monitoring platform, aiming to enhance patient safety and optimize pharmacy workflows in rural healthcare settings.

2024-10

MedAware

Using AI To Personalize Healthcare And Improve Patient Safety | MedAware

This MedAware news item highlights the use of AI to personalize healthcare and improve patient safety.

2024-11

PR.com

Biomed Industries, Inc. to Acquire MedAware Systems, Inc. to Expand Its Artificial Intelligence Research for Drug Discovery in Alzheimer's Disease

Biomed Industries, Inc. announced its acquisition of MedAware Systems, Inc., with plans to leverage MedAware's bioinformatics and machine learning technology to advance drug development for neurodegenerative diseases like Alzheimer's.

2022-09

MedAware

MedAware Partners with Baxter on a new study demonstrating that MedAware's AI-based patient safety platform may enhance infusion pump programming safety.

MedAware partnered with Baxter on a study demonstrating that MedAware's AI-based platform can enhance infusion pump programming safety by identifying outliers in programming patterns.

2021-12

PR Newswire

MedAware Partners with athenahealth's Marketplace Program to Provide Clinicians with an Effective Medication Safety Monitoring System

MedAware announced a partnership with athenahealth, integrating its medication safety monitoring technology into athenahealth's Marketplace to help healthcare providers identify adverse drug events, opioid dependency risks, and dangerous drug interactions.

2021-08

PR Newswire

Harvard Researchers Find Significant Clinical Impact and Cost Savings With MedAware's Patient Safety Platform

A study published in The Joint Commission Journal on Quality and Patient Safety validated MedAware's AI-based platform, demonstrating its significant clinical impact in preventing medication errors and substantial cost savings for hospitals.

2019-12

Sheba Medical Center

Sheba Research Shows an Improvement in Patient Safety Standards Due to MedAware's Machine Learning-based Platform

Research conducted at Sheba Medical Center demonstrated that MedAware's machine learning-enabled patient safety platform significantly reduces medical risks associated with avoidable errors and enhances patient safety.

2019-08

Videos

Product demos, reviews, and walkthroughs for MedAware.

Medical Alerts That Make Sense From MedAware

Healthcare IT Today

Interview with MedAware CEO Dr. Gidi Stein

HealthBiz Podcast with David E. Williams

Medaware a Platform to Help Prevent EHR Medication Erros

Neurosurgical TV

MedAware AI | Smart Medicine Scanner with AI Safety Detection

Tanya Garg

"MedAware" - Complete Walkthrough

Prithwiraj Mohanty

MedAware

Gidi Stein

View all on YouTube

Frequently Asked Questions

How does MedAware integrate into my existing clinical workflow and EHR system?

MedAware is designed to integrate seamlessly with most major EHR systems through standard interfaces like HL7. It works in the background, analyzing orders in real-time and providing alerts directly within your existing workflow, aiming to minimize disruption to your current processes.

What is the evidence for MedAware's effectiveness in preventing medication errors and improving patient safety?

MedAware utilizes a unique anomaly detection engine that identifies deviations from typical prescribing patterns, which can indicate potential errors. Studies and case reports have demonstrated its ability to detect a range of medication errors, including incorrect dosages, drug-drug interactions, and drug-allergy contraindications, leading to improved patient safety outcomes.

How does MedAware address alert fatigue, and what is its false positive rate?

MedAware employs advanced algorithms and machine learning to reduce alert fatigue by prioritizing high-risk alerts and learning from physician interactions. While no system can eliminate false positives entirely, MedAware continuously refines its algorithms to minimize irrelevant alerts, aiming for a low false positive rate to ensure clinicians only receive actionable information.

What are the typical costs associated with implementing and maintaining MedAware, and how is pricing structured?

Pricing for MedAware typically depends on the size of the healthcare institution, the number of users, and the specific modules implemented. It often involves a subscription-based model, with costs covering implementation, licensing, ongoing maintenance, and support. Specific pricing details would require a direct consultation with MedAware representatives.

What are the limitations of MedAware, and are there situations where it might not be effective?

While highly effective, MedAware's primary focus is on detecting medication-related anomalies based on historical data and real-time order analysis. It may have limitations in identifying errors related to rare diseases with limited data, or in situations where a highly unusual but clinically appropriate prescription falls outside typical patterns. It's a decision support tool, not a replacement for clinical judgment.

How does MedAware compare to other clinical decision support systems (CDSS) or pharmacy-based review processes?

MedAware differentiates itself through its anomaly detection engine, which goes beyond traditional rule-based CDSS by identifying errors that may not be explicitly coded in existing drug interaction databases. While complementing pharmacy review, MedAware provides real-time, pre-prescription alerts, offering an additional layer of safety earlier in the medication ordering process.

What kind of training and support is provided for physicians and staff using MedAware?

MedAware typically offers comprehensive training programs for physicians, pharmacists, and IT staff to ensure effective implementation and utilization. This often includes on-site training, webinars, user guides, and ongoing technical support to address any questions or issues that may arise.