@MedAwareRx

Advanced Machine Learning to Prevent Catastrophic Prescription-Related Medication Errors

Gidi Stein, MD, PhD

Co-Founder & CEO, MedAware

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Electronic prescription

Select drug

Simvastatin

Singulair

Sintrom

Sirolimus

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Chain of Errors Leading to Catastrophe

Rx

Provider

Health Plan Pharmacy / PBM

Patient

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Scale of the Problem (in the US alone)

4 Billion Rx in the US annually

8 Million Rx with life-threatening

errors

>200,000 Injuries and deaths

$21 Billion

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Current Rule-Based Systems

Miss many of

the errors

High Alert

Fatigue

Rule based

systems

>90% False

alarms

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MedAware: AI for Clinical Outlier Detection

Electronic medical

records

Machine learning

algorithms

Crowd sourced

physician practice

Data driven

clinical insights

+ =

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Minimal Workflow Disturbance– Click & Go

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Tested on >5,000,000 patient records

• Errors found in 1/250 Rx of inpatients and 1/1,500

Rx for outpatients

• Accuracy 75% - 80%

• Errors associated with:

– Early mortality

– Longer hospital stay

– Recurrent admissions

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A Tertiary Hospital – Live Deployment

2,000 beds 1 alert / department / day 80% true alerts

• 600,000 lives analyzed

• Significant errors found in 3.7%of admissions

• Can prevent 2,300 ADE’s / annually in Sheba alone

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Examples of Errors Found

Healthy individual

Aspirin was not stopped

Baby

80 year old female

Chemotherapy

Viagra

Fertility Drug

New onset low platelet count

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Roadmap

Rx error risk management

Opioid abuse risk management

Advanced quality and

population mgmt.

Consumer targeted

clinical decisions

Thank you!

Gidi Stein, MD, PhD

Co-Founder & CEO, MedAware

@ MedAwareRx