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Google Open-Sources The Machine Learning Tech Behind Google Photos Search, Smart Reply And More

Sarah Perez | TechCrunch | November 9, 2015

Google says today it’s making the machine learning technology that powers a number of its products, including Google Photos search, speech recognition in the Google app, and the newly launched “Smart Reply” feature for its email app Inbox. Called TensorFlow, the technology helps makes apps smarter, and Google says it’s far more powerful than its first-generation system – allowing the company to build and train neural nets up to five times faster than before.

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Google Trends Data Highlights Medical and Healthcare App Growth

Bill Yates | iMedicalApps | August 14, 2013

Google Search continues to be the dominant internet search engine. Trends in internet keyword searches over time monitor the growth (and waning) of products and topics. Google provides a keyword search tool called Google Trends that allows users to map relative keyword searches over time and compare multiple keyword search trends. I recently examined the trends related to the search term medical app on Google Trends. I found some expected and unexpected findings in this analysis. This is the first post in a series highlighting interesting insights from this untapped source...

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Towards a New EHR Metaphor - Or, How to Fix Unusable EHRs

By Kim Bellard | November 19, 2019

News flash: docs hate Excel! In a recent study, which included researchers from Yale, the Mayo Clinic, Stanford, and the AMA, physicians rated it only at 57% on a usability rating, far below Google search (93%), Amazon (82%), or even Word (76%). But, of course, Excel wasn't their real problem; the study was aimed at electronic health records (EHRs), which physicians rated even lower: 45%, which the study authors graded an "F." If we want EHRs get better, though, we may need to start with a new metaphor for them.Lead author Edward Melnick, MD, explained the usability issue: "A Google search is easy. There's not a lot of learning or memorization; it's not very error-prone. Excel, on the other hand, is a super-powerful platform, but you really have to study how to use it. EHRs mimic that."

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