Cedars-Sinai cuts PE intervention time by 40% and saves $500K annually with Aidoc AI-powered PERT workflow

Managing pulmonary embolism (PE) patients involved a nine-step process averaging 17 hours from imaging to thrombectomy. The PERT team lacked real-time awareness of patient flow and volume, leading to delayed triage and fragmented multidisciplinary coordination.

Cedars-Sinai implemented Aidoc's AI solution, which alerts radiologists and the PERT team immediately after identifying a suspected PE. Multiple workflow steps that previously occurred sequentially now happen simultaneously, enabling faster triage, multidisciplinary assessment, and treatment coordination.

Time to intervention was reduced by 40% (approximately seven hours). ICU stays shortened by three days per patient. ICU care costs dropped from $45,000 to $35,000 per patient, resulting in more than $500,000 in annual savings for the institution.

• Parallelizing workflow steps through AI alerts can dramatically compress time-to-treatment for time-sensitive conditions like PE.
• Clinical AI adoption can deliver simultaneous operational and financial benefits, not just clinical outcome improvements.
• Real-time AI-driven notifications enable effective multidisciplinary team coordination without adding manual coordination overhead.