Humans are inevitably biased, and these biases can also affect use of the electronic health record (EHR), data collection and analysis, algorithm development and deployment, machine learning and artifical intelligence, and other informatics work. Today, Dr. Sara Murray and Dr. Michelle Lin highlight the importance of understanding the limitations of data applications in routine healthcare delivery and patient care and why diversity and inclusion in informatics matters.
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