Framework for a Public Repository of AI Training Datasets Using EHR Data and Pediatric ADHD Annotation Schema
The U.S. Department of Health and Human Services (HHS) has released a framework for a public repository of artificial intelligence training datasets using electronic health record (EHR) data for comparative effectiveness research, along with a pediatric ADHD patient-centered outcomes annotation schema. The initiative aims to facilitate AI development while ensuring data privacy and patient-centered outcomes.
The U.S. Department of Health and Human Services (HHS) has published a framework for creating a public repository of artificial intelligence training datasets based on electronic health record (EHR) data, intended to support comparative effectiveness research. The framework also includes a pediatric ADHD patient-centered outcomes annotation schema, providing a structured approach to annotating outcomes important to patients. This move is part of efforts to harness AI in healthcare while maintaining data privacy and focusing on patient-centered care. The announcement was made on the official HHS.gov website, indicating a federal push toward standardized AI training data in healthcare.
- Сокращения
- HHS = U.S. Department of Health and Human Services — Министерство здравоохранения и социальных служб США
- EHR = Electronic Health Record — электронная медицинская карта
- ADHD = Attention Deficit Hyperactivity Disorder — синдром дефицита внимания и гиперактивности
Source: GNews EN — AI —
original
