Healthcare AI Needs a Breadth and Depth of Data

Today I’m enjoying the New England HIMSS Spring Conference including an amazing keynote session by Dale Sanders from Health Catalyst. Next week I’ll be following up this blog post with some other insights that Dale shared at the New England HIMSS event, but today I just wanted to highlight one powerful concept that he shared:
Healthcare AI Needs a Breadth and Depth of Data
As part of this idea, Dale shared the following image to illustrate how much data is really needed for AI to effectively assess our health:

Thanks @drsanders Amazing Speaker “digitize assets.. #nomoreclicks roadmap of the future AI @HealthCatalyst @NewEnglandHIMSS @MattCBornstein @mramaloney @pat_rioux @dirkstanley @techguy @CoherenceMed @janicemccallum @sgschade @timothywong007 pic.twitter.com/2DX43moPeK
— Malissa Miot (@malissa_miot) May 17, 2018

Dale pointed out that in healthcare today we really only have access to the data in the bottom right corner. That’s not enough data for AI to be able to properly assess someone’s health. Dale also suggested the following about EHR data:

At best, EHRs hold 8% of the Data We Need. @drsanders #NewEnglandHIMSS #HITsm #hcldr
— John Lynn (@techguy) May 17, 2018

Long story short, the EHR data is not going to be enough to truly assess someone’s health. As Google recently proved, a simple algorithm with more data is much more powerful than a sophisticated algorithm with less data. While we think we have a lot of data in hea...

Source: EMR and HIPAA - May 17, 2018 Category: Information Technology Authors: John Lynn Tags: Digital Health Healthcare Healthcare AI Healthcare Analytics Dale Sanders Health Catalyst Healthcare Data HIMSS New England HIMSS Source Type: blogs