Case Study: Yale New-Haven Hospital improves PE response and advanced therapy use with Aidoc

Yale New-Haven Hospital - Customer Case Study

Yale New Haven Hospital, a large 1,541-bed teaching hospital and major referral center, needed to improve pulmonary embolism (PE) detection and response across its PERT program. Like many hospitals, it faced growing patient volume, staffing shortages, and communication gaps that made it difficult to quickly identify incidental PE cases and coordinate care efficiently. It turned to Aidoc’s FDA-cleared AI solution for flagging and prioritizing PE and incidental PE.

Aidoc implemented an always-on AI workflow that analyzes CT scans in the background, alerts the PERT team in real time, and enables secure mobile communication between radiologists, specialists, and referring hospitals. The impact was significant: Yale New Haven Hospital reported that AI-triggered PERT activation helped increase appropriate advanced therapy use by about 40%, while helping uncover cases that would otherwise be missed—roughly 70% of potential PERT activations without AI. It also streamlined communication, improved transfer coordination, and reduced time to treatment.

Yale New-Haven Hospital

Akhil Khosla

Assistant Clinical Professor and Medical Director