PATIENT CENTRIC COLLABORATIVE RESEARCH Accenture Technology Labs

Problem

¨  Finding and involving most relevant real-world patients in patient centric collaborative research

¨  Our approach: ¤  “Fish where fishes are” by tapping into existing patient

social networks and communities n e.g., PatientsLikeMe, MedHelp, dLife, myCancerPlace

¤ Aggregate social data across networks to build rich patient population profiles

¤ Use our semantic analysis and matching engine to find meaningful connections between research and patient communities

Problem Solution Value

Our Solution

Multidimensional Semantic Match Engine

Matched Participants Across Online Patient Communities

Rich Project Profile

Big Data & Multidimensional Semantic Analysis

Project Title & Description Patient Communities

Big Data & Multidimensional Semantic Analysis

Rich Patient Profile

Problem Solution Value

Value

¨  Connect patients, investigators, caregivers, and administrators to facilitate patient centric, dynamic, and responsive research.

¨  Craft realistic approaches to research, with the patient as an integral part of the process.

¨  Harvest real-world patient experience and insights to drive better cost and patient outcomes

¨  Engage patients in where they are (i.e., online communities) in driving adoption of research findings [future work]

Problem Solution Value

Demo

¨  Due to patient privacy concerns, in this demo we decided to use our own simulated patient community Me-Med ¤ To demonstrate the PCCR platform’s ability to integrate

and use patient from different online health communities.

¨  Demo access: http://bit.ly/pccr_acn ¨  Demo invite code: acn techlabs dh 2013 ¨  Me Med access: http://bit.ly/me_med_ ¨  Me Med invite code: acn techlabs dh 2013