As providers continue to target improved patient outcomes, more organizations are utilizing artificial intelligence, data analytics, and machine learning. However, organizations should follow ethical standards to ensure positive results when implementing new technology such as artificial intelligence.
To uphold ethical standards and continue improving their AI practices, Intermountain Healthcare created a Data Science and Artificial Intelligence Center of Excellence.
“We’ve been doing this work in data science and artificial intelligence for a very long time, and it became apparent that there was a need for consistency and standards. We also wanted to provide ethical oversight of some of the work that we’re doing,” Assistant Vice President of Analytics Services at Intermountain Healthcare Greg Nelson told HealthITAnalytics.
The new model brings together experts from multiple disciplines, including data analytics, applied mathematics and statistics, computer science, behavioral sciences, econometrics, computational linguistics, clinical informatics, and clinical specialists.
The collaborative effort produced large datasets that the artificial intelligence system could sort through accurately and efficiently.
Continue reading: https://healthitanalytics.com/features/ethical-artificial-intelligence-standards-to-improve-patient-outcomes
To uphold ethical standards and continue improving their AI practices, Intermountain Healthcare created a Data Science and Artificial Intelligence Center of Excellence.
“We’ve been doing this work in data science and artificial intelligence for a very long time, and it became apparent that there was a need for consistency and standards. We also wanted to provide ethical oversight of some of the work that we’re doing,” Assistant Vice President of Analytics Services at Intermountain Healthcare Greg Nelson told HealthITAnalytics.
The new model brings together experts from multiple disciplines, including data analytics, applied mathematics and statistics, computer science, behavioral sciences, econometrics, computational linguistics, clinical informatics, and clinical specialists.
The collaborative effort produced large datasets that the artificial intelligence system could sort through accurately and efficiently.
Continue reading: https://healthitanalytics.com/features/ethical-artificial-intelligence-standards-to-improve-patient-outcomes
