How Big Tech Sees in Health

How Big Tech Sees in Health

Silicon Valley is ramping up its health care ventures to profit from a vast and fast-growing part of the economy. Big tech is trying to remake healthcare.


Tech giants such as Apple, Amazon, Microsoft and Google are moving into the business of keeping people well, a logical frontier. 

Apple

Apple’s latest foray into personal health starts with the new iWatch Apple can: 

  • Track your vital signs
  • Organises your health history
  • Link to other apps and systems
  • Call for help after a fall
  • Monitor heart beats for dangerous conditions
  • Do an electrocardiogram 
  • Collect data for medical research, 
  • Connect hospital medical-record systems.

Amazon

Amazon plans to shake up the prescription-drug business and health coverage, but they dominate other areas of health already

  • Medical product sales (latex gloves, bed liners, specialized dental tools, medical devices) move beyond $10 billion. 
  • Electronic medical records 
  • Genomics researchers store and analyze vast amounts of data, ramp up processing power for trials and modeling - allowing more cost-effective tests.

Google

Google wants to help make you live longer and has moved into 

  • health-insurance
  • understanding the process of aging and extending life spans
  • new ways to collect and use health data (contact lens that monitors glucose levels. 
  • artificial-intelligence with a significant health care focus.
  • Medically focused and HIPAA-compliant cloud storage, email and file-sharing products
  • health-tracking apps
  • “Dr. Google” where doctors help ensure common questions are answered accurately

Microsoft

Microsoft is trying to 

  • sell hospitals, drugmakers and doctors software, cloud processing and artificial-intelligence services for more personalized medical care.
  • speech/language recognition for a “triage bot” 
  • tools for monitoring whether a patient sticks with a treatment plan
  • cloud-computing harnessing the processing muscle for computing-intensive genetic analysis.
  • Using machine learning to target cancer therapies
  • Big data to detect cancers or other potentially fatal medical conditions earlier.

It Is Only the Beginning

While this is the beginning, and challenges lay ahead such as:

  • Algorithmic technology can trigger false positives,
  • Scepticism is high, and 
  • Rebuilding health infrastructure takes years.



Watch this fast emerging space.

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