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While innovation in the medical space can be daunting or challenging, MedFuse will be a place where both seasoned experts and aspiring talent are welcome together. Not only are there many ways in which the medical field stands to benefit from new perspectives, but there are also many tangential fields to medicine that innovations present in other IoT solutions can serve with fewer barriers. Fields like home monitoring, health and wellness apps, or wearable devices. So if you or your company have ideas, are looking for ideas, or just want to be inspired, MedFuse is the place to come tap into a network of innovators, thinkers, but most importantly, doers. So whether or not you are a trained medical professional, MedFuse is right for you.
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Tuesday, October 30 • 11:15am - 12:00pm
Graphs: The Possible Future of PHI FULL

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Healthcare data is not like general-ledger data. General ledger data fits well into a table and the data format of credits and debits is consistent across many industries. In contrast, data from an MRI, an eye exam and a blood test are all different. We find that healthcare data does not fit will into tabular formats. We call this characteristic “high variability” data. It is just one of the reasons that companies are moving away from the relational model to a more flexible model of storing and retrieving healthcare data. Another reason is the need to connect this health data with other data such as claims that provide insight into the frequency and severity of health problems, a person’s genetic information that allows for more precision in treatment. In addition, wouldn’t it be valuable to connect this endogenous data with exogenous data of an individual that is increasingly available via wearables? By connecting all this information and mining this connected health information for the data as well as structure, is it possible to improve healthcare? We think so! In this presentation we will cover an innovative way of storage and retrieval of data in a graph model, visualizing information and ways to gain insights by querying and processing this data, where every fact is broken down into nodes and relationships. We will discuss the rise of the graph industry and the adoption by healthcare companies. We will discuss many of the classic use-cases of graph technologies including master data management, complex rule processing, and fraud detection. We will also discuss some emerging topics such as causal graphs, the combination of deep learning and graphs and possible ways for graphs to enhance the ability to explain machine-driven decisions.

avatar for Arun Batchu

Arun Batchu

Emerging Technology Architect, UnitedHealth Group
Highly accomplished Senior Technology Executive with 15+ years of experience leading digital-driven technology innovation and delivering impressive bottom-line business results. Outstanding reputation as a digital architect and product manager. Visionary management professional with... Read More →
avatar for Dan McCreary, MS, MBA

Dan McCreary, MS, MBA

Distinguished Engineer, Optum
Dan McCreary is a Distinguished Engineer in AI at Optum.  He is an author of  "Making Sense of NoSQL" and is focused on ML, graph and knowledge representations in AI.  He also founded NoSQL Now! and was an event chair for the inaugural Big Data Tech conference. 

Tuesday October 30, 2018 11:15am - 12:00pm CDT
CMU President's Room Coffman Union 300 Washington Ave SE, Minneapolis, MN 55455