Category Archives: Big Data

3 Success tips for Life Science Commercial teams: Market Access, Part 2

  Address Payer Concerns, Cost and Efficacy in Advance  Considering the pressure to demonstrate effective patient outcomes at low cost, payers consider cost and efficacy when making decisions about which therapeutic interventions to add to their formulary. In addition to results from clinical trials, market

3 Success tips for Life Science R&D teams: Market Access, Part 1

Show value from harmonized product development data  Using harmonized data from clinical trials and other relevant data sources, R&D teams can define patient populations that respond best to the product, aiding commercial prospects. Data insights derived during product development can influence commercial strategy such as

Data Partnerships crucial for Data Moat

Before a deep dive into data partnerships, it is imperative to define product strategy, user story, use cases and the competitive advantage aka the data moat.  While data is not the new oil, the right data strategy is critical for health and life sciences ML/AI

Data privacy tradeoffs for AI in Life Sciences

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

Google and Fitbit: A Data Play?

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

Examples of Integrated B2B Marketing in Digital Health

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

Insights on AI from healthcare leaders

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

EHR Data interoperability: Apple, Google, CMS and FHIR

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 launches UberHealth

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