cornell health tech hackathon: prescriptiq demo

10
PRESCRIPTIQ

Upload: ams345

Post on 12-Apr-2017

329 views

Category:

Health & Medicine


5 download

TRANSCRIPT

Page 1: Cornell Health Tech Hackathon: PrescriptIQ Demo

PRESCRIPTIQ

Page 2: Cornell Health Tech Hackathon: PrescriptIQ Demo

The Problem

• CDC labels it an “epidemic”

• $72 billion spent on drug diversion• 20,000 deaths from Rx drug overdose

Vivienne Chen
Page 3: Cornell Health Tech Hackathon: PrescriptIQ Demo

Our Product

Brings visibility to aberrant patient prescription behavior by analyzing consolidated medical records

on a website accessible by health providers

No current market competition Innovative Addresses need

Easily implementable Compatible with preexisting systems Improves patient and community health

Page 4: Cornell Health Tech Hackathon: PrescriptIQ Demo

Team

Alice XiaCornell ‘16

Jennifer WangCornell ‘16

Vivienne ChenCornell ‘17

Rehan SaberCornell ‘17

Yana KostCornell ‘17

Hun Jae LeeCase Western ‘17

Page 5: Cornell Health Tech Hackathon: PrescriptIQ Demo

How It Works

Web based applicationutilizes secure third

party data storage

Pulls prescription datavia unique identifier

to protect patient data

Flags unusual patient to curb prescription

drug abuse at 3 levels

EMR [Cerner] -> Truvault Asses risk levels using Rx datesUsers log in via portal

Page 6: Cornell Health Tech Hackathon: PrescriptIQ Demo

Who’s Buying?

Doctors Pharmacies InsuranceCompanies

FIRST STEP

No prescription written

• Less malpractice• Improve medical compliance

SECOND STEP

No prescription filled

• Correct stock levels• Incentive via insurance

FINAL STEP

Increase premiums, not cover payment

• Decreases abuse-related costs• Adjust premium rates

Page 7: Cornell Health Tech Hackathon: PrescriptIQ Demo

How Will We Fund This?

■ Revenue from insurance companies

■ Seed funding

■ Government grants

■ public health research grant from NIDA (active partnerships in private sector)

Page 8: Cornell Health Tech Hackathon: PrescriptIQ Demo

What Are The Potential Risks?

■ Lack of direct profit incentive– Insurance directly profits

■ EMR systems hesitant to share data– Purchase data subscription from IMS Health

■ Patient Dissatisfaction– Referral to addiction clinic or pain management

Page 9: Cornell Health Tech Hackathon: PrescriptIQ Demo

What’s Our Plan?Within 1

Year• Partner with EMR company

[Cerner]• Purchase secure, HIPPA

compliant data storage

Within 3 years

• Implementation in test healthcare network

• Increase value and services as more data is acquired

Future• Expand

implementation nationally

• Integrate service into EMR interface

Page 10: Cornell Health Tech Hackathon: PrescriptIQ Demo

We’ve Asked You Enough Questions- Got Any For Us?