HIMSS21: How Artificial Intelligence Can Improve Patient Outcomes
Artificial intelligence and machine learning are helping healthcare organizations glean more from extensive patient data collected through appointments and remote patient monitoring devices. Taha Kass-Hout, director of machine learning and chief medical officer at Amazon Web Services, explains how AI capabilities can transform healthcare in the future.
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Taha Kass-Hout, Director of Machine Learning and Chief Medical Officer, Amazon Web Services
- Investment in data science teams is important for the adoption of artificial intelligence and machine learning by healthcare organizations.
- Data often resides on multiple systems and in multiple formats. Organizing data is key to the success of AI models in healthcare.
- Healthcare organizations should validate an AI model repeatedly over time to prevent bias from influencing data analysis.