Pediatr Crit Care Me
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Pediatr Crit Care Me · Jul 2018
EditorialApplying Machine Learning to Pediatric Critical Care Data.
To explore whether machine learning applied to pediatric critical care data could discover medically pertinent information, we analyzed clinically collected electronic medical record data, after data extraction and preparation, using k-means clustering. ⋯ A standard machine learning methodology was able to determine significant medically relevant information from PICU electronic medical record data which included prognosis, diagnosis, and therapy in an unsupervised approach. Further development and application of machine learning to critical care data may provide insights into how critical illness happens to children.
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Pediatr Crit Care Me · Jul 2018
Igniting Innovation in Healthcare: A Novel Collaborative Multidisciplinary Approach in a PICU.
Generating innovation in the healthcare setting faces a number of challenges when compared with industry counterparts. More than ever, innovation occupies a critical element for healthcare organizations aspiring toward clinical, research and strategic excellence, although it may not exist as a priority due to a number of barriers. ⋯ This article describes an innovation program created to exercise a multidisciplinary approach for generating novel solutions in our PICU. Using nontraditional methods and ideation, this program has generated innovative solutions in an otherwise traditional setting, revealing new opportunities for growth, value generation, and collaboration between healthcare and the community.