I was at the meeting recently with a machine learning (ML) data product company at a conference and as we chatted about the benefits of partnering, I realized what little knowledge there is about data management and strategy when it comes to new product development.
Covid -19 has changed the data privacy paradigm. What used to be controversial with regards to accessing and mining large data sets with Business Associate Agreements (BAA), due to ensuing consumer privacy backlash is beginning to become more acceptable. While we are still at baby
We learned not long ago that Google is acquiring Fitbit. It’s easy to see why. Data and users may sound like the main consideration for this deal, but there is more at play. Hardware meets software Over the last several years, Google has shown its
Digital health investments continues to grow. Funding reached an impressive $8.1B in 2018, an increase of 42% from 2017 according to a Rock Health year end report with average deal size at $21.9M. While that is the case, what is particularly interesting is the new
The World Medical Innovation Forum in Boston just wrapped after three days of insights on artificial intelligence in health care. While it didn’t disappoint in respect to buzzwords as is expected in AI conferences, it was the quality of the participants and their views on
Data interoperability is the flavor of the month. Everyone is working on it. Different EHR providers mean ‘proprietary data’ and impact to revenue hence naturally system A can’t talk to system B when patient changes health plan, provider or employer benefits Apple may be bringing
Uber is going into healthcare and for them that means transporting patient back to their homes from the hospital. They are going after the “missed appointments” market. Regarding their B2B business model, according to TechCrunch, Uber Health charges healthcare organization customers only for the cost