{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/c70bdf7c168f406a82e30ec8303c1382\" frameborder=\"0\" width=\"1148\" height=\"861\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":861,"width":1148,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":861,"thumbnail_width":1148,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/c70bdf7c168f406a82e30ec8303c1382-818132a0c75c0064.gif","duration":92.504,"title":"Spotted Zebra Decision Support for Pediatrics","description":"This Loom demonstrates how Spotted Zebra uses decision support to identify patterns in pediatric longitudinal patient records. It shows a child’s record containing primary care visits, developmental assessments, and pediatric cardiology follow-ups across 592 records. When the user clicks Analyze Longitudinal Record, the tool identifies character patterns such as delayed ability to walk, hypotonia, and short stature, which are then cross-checked and either confirmed or rejected. The results can be converted into tasks and guidance, and users can download a JSON FHIR bundle or open FHIR resources for further investigation."}