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New Analytics Competencies in Emergency Departments

  1. Advanced data visualization skills: The ability to create meaningful, actionable visualizations of complex data sets that can be easily understood by medical professionals and decision-makers.

  2. Predictive analytics: The ability to analyze data in real-time to identify patterns, predict trends, and make informed decisions about resource allocation and patient care.

  3. Machine learning: The ability to use algorithms and statistical models to analyze large amounts of data and make predictions about patient outcomes.

  4. Big data management: The ability to manage and analyze large, complex data sets in real-time, using tools such as Hadoop and Spark.

  5. Healthcare informatics: A deep understanding of the role of data in healthcare decision-making, including knowledge of electronic health records, health information exchange, and clinical decision support systems.

  6. Privacy and security: A strong understanding of privacy and security regulations and standards, such as HIPAA, and how they apply to the handling of patient data in emergency departments.

  7. Interdisciplinary collaboration: The ability to work effectively with other medical professionals, such as physicians, nurses, and administrators, to ensure that data-driven insights are effectively integrated into patient care processes.

Skills, competencies, training, knowledge, learning


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