AI, Machine Learning, Automation: Key Themes for Fed Healthcare
February 14, 2019 Leave a comment
By Chris Wiedemann, Consultant
At the recent AFCEA Bethesda Health IT Summit, government and industry had a chance to catch each other up on the latest developments in a rapidly-evolving space. As usual, the event was information rich, covering everything from the Health Resources and Services Administration’s agile development-driven programs to address the opioid crisis to the Department of Veterans Affairs’ internal enterprise cloud strategy.
But the underlying theme was that the agencies engaged in big healthcare challenges (VA, Health and Human Services, Defense Health Agency, etc.) are starting to work faster and smarter by using tools like agile development and purchasing, artificial intelligence, automation and machine learning, and they need industry partners who can do that with them.
Of course, any mention of agility, automation, machine learning or artificial intelligence should excite COTS manufacturers. Although the government speakers mostly avoided calling out products by name, the role of off-the-shelf technology was a common thread throughout the event. There are a variety of drivers behind the move to COTS and away from customization, ranging from the availability of sophisticated data analytics tools to the need to hedge against institutional knowledge loss as more of the federal workforce approaches retirement.