The Unmet Promise of Artificial Intelligence in Population Health

Without a foundation of consistency in the collection, a consistency in definition, and consistency in metrics, artificial intelligence within healthcare is a free-floating mass of inconsistent teaching material. No strength in computing or programming can overcome bad data. On the road to meeting the promise of AI in healthcare to improve population health, we must collectively work to ensure that our teaching data is clear, defined, and with visible outcome metrics, whether quality, efficiency, or even costs.

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What does it take to get a population health project approved?

In summary, the benefits of PHM can reduce the severity of disease and the overall costs of care. Success includes the right project scope, the right kind of data, the appropriate technology and the best mix of people.

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