Mental Health and Big Data: A Step in the Right Direction


  • Kate Spade – depression and anxiety
  • Robin Williams – severe depression
  • Pete Davidson – Borderline Personality Disorder
  • Demi Lovato – Bipolar disorder

Two gone, two battling a lifelong battle, like many Americans. With the stigma and bias surrounding the topic, the mental health community struggles to move forward. The research and treatment is at least a decade behind common chronic conditions, mainly because no one wants to talk about mental health due to the complexity and lack of understanding. 

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Big Data Application in Healthcare For Effective Patient Treatment

Within the first decade of the 21st century, the use of big data became very popular in many big industries. The methods for capturing big data have since evolved from traditional data lake systems to more integrated technologies that combine big data with all other systems within a company.1

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Big Pharma; Big Data: how a third party company can revolutionize your data for a better tomorrow

As each industry becomes more technologically savvy, the pharmaceutical industry has the chance to emerge into the 21st century and reform how they treat patients while tackling different medical epidemics that affect the world today.

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PM360: Four Key Questions About Data Analytics

PM360 asked experts in data analytics about how the process behind collecting and analyzing data is changing, including these four key questions:

  • How is the advancement of artificial intelligence, natural language processing, machine learning, and deep learning impacting the data analytics landscape?
  • How has the rise of concern for data privacy and the implementation of the EU’s General Data Protection Regulation (GDPR) affected pharma’s ability to collect or use data?
  • What can organizations do to help make their employees more data literate? Ultimately, how do you make everyone comfortable using data analytics?
  • What is the future of data analytics? How else is data collection, analyzation, visualization, implementation, etc., likely to change in 2019 and beyond? 
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