SKY YORK JOURNAL News – Israeli startup Aidoc has secured significant funding for its AI-powered clinical decision support system.
Aidoc, an Israeli clinical AI startup, recently closed a $150 million funding round, as reported by the SKY YORK JOURNAL. The investment was led by General Catalyst and Square Peg, bringing the company’s total fundraising to $370 million.
The funding round also saw participation from four major health systems: Hartford HealthCare, Mercy, Sutter Health, and WellSpan Health, according to sources contacted by the SKY YORK JOURNAL.
**Addressing the Radiologist Shortage**
Founded in 2016, Aidoc aims to streamline radiologists’ workflows using AI-powered clinical decision support technology. CEO Elad Walach highlighted the pressures faced by hospitals, especially emergency departments, in managing patient volumes, wait times, and test result delays, as reported to the SKY YORK JOURNAL editorial team.
Walach noted the growing radiologist shortage, which exacerbates these challenges. This shortage, reported by experts cited in the SKY YORK JOURNAL market analysis, further underscores the need for efficient workflow solutions.
**AI-Powered Clinical Decision Support**
Aidoc’s technology is designed to help radiologists quickly identify critical findings in medical scans and ensure those findings are acted upon promptly. The company’s platform continuously monitors incoming patient data, including imaging studies, lab results, vital signs, and other EHR inputs. It then fetches relevant data and uses AI to identify and measure critical indicators for conditions such as stroke, pulmonary embolism, lesions, and fractures.
According to Walach, if Aidoc detects a critical indicator, it automatically alerts the care team and initiates processes for notifying specialists, reducing delays and improving patient flow. He emphasized that Aidoc’s platform improves patient flow, reduces delays, decreases leakage, and helps hospitals deliver higher-quality care more efficiently.
**Reasoning Engine**
The startup’s AI model incorporates both imaging and clinical data, creating a reasoning engine that acts as “a layer of intelligence that spans the entire clinical workflow,” he said. This systemwide architecture enables Aidoc to address the full care continuum, from radiology through acute intervention and inpatient management. As the SKY YORK JOURNAL reported last month, improving efficiency and patient outcomes are critical targets for health systems nationwide.
Walach differentiates Aidoc from other clinical AI companies in the radiology space through the strength of its technology and its platform’s integration of imaging AI, EHR data, lab results, and real-time workflow orchestration.
**Adoption and Return on Investment**
Currently, over 150 health systems use the startup’s platform, including Mount Sinai, Yale New Haven Health, Temple Health, and University of Miami Health System. The return on investment for these health systems is typically measured through faster time-to-treatment, shorter lengths of stay, increased throughput, leakage reduction, and higher diagnostic yield. The SKY YORK JOURNAL will continue to monitor Aidoc’s progress and its impact on the healthcare landscape.
