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The current administration has a focus on reducing costs while also improving the delivery of goods and services. When it comes to handling data, innovations in code generated by artificial intelligence have enabled this remarkable goal.

The challenge arises when transitioning from the data center to the hospital. " Fail early" may be a mantra for a software developer, but in a healthcare situation, it is unacceptable.

Today, we sat down with two executives from Phillips and explored the value of applying mobile technology to reduce cost and enhance patient outcomes in hospitals.

Both gentlemen are military veterans, and the focus of the discussion is the Department of Veterans Affairs, which operates 170 medical centers and employs over 470,000 staff members.

When examining the population of veterans, we can see that it has a wide distribution in rural areas. This can mean long trips for patients to get care.

During the interview, we look at wearable devices that can provide information to physicians to help make treatment decisions. These can provide real-time health monitoring to act as an "early warning" system for patients. For example, it can detect signs of infectious diseases before symptoms appear.

Advances in machine learning and artificial intelligence enable Phillips to develop a risk score calculation that reduces exposure to vulnerable populations.

Explore opportunities to further deploy Philips' remote monitoring and telehealth technologies within the VA healthcare system.

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