Aidoc goes to $ 150 million to support the AI clinical decision

The startup of the Israeli clinic Aidoc closed a financing tour of $ 150 million led by General Catalyst and Square PEG on Wednesday, bringing the total of the company’s fundraising to 370 million dollars.

Four health systems – Hartford Healthcare, Mercy, Sutter Health and Wellspan Health – also participated in the investment round.

AIDOC, founded in 2016, seeks to simplify the workflows of radiologists thanks to its technology of clinical decision support fueled by AI. The CEO Elad Walach stressed that hospitals, in particular emergency services, are under pressure to manage high volumes of patients, long waiting times and delayed test results – as well as to make rapid decisions with incomplete information.

All of these stress factors are aggravated by the fact that there is a growing radiologist shortage, he noted.

His business technology is designed not only to help radiologists quickly identify critical results in medical analyzes, but also to ensure that these results are implemented.

“By orchestrating the steps that follow a diagnosis – involve the right team, initiate its care routes, following progress – Aidoc improves patient flows, reduces delays, decreases leaks and helps hospitals to provide better quality care more effectively,” said Walach.

The startup platform constantly monitors the incoming data of patients, including imaging studies, laboratory results, vital signs and other DSE entries. He recovers relevant data and uses AI to find and measure critical indicators for things like a stroke, pulmonary embolism, lesions and fractures, he explained.

If Aidoc finds an indicator like this, it automatically alerts the care team and initiates processes to notify the specialists, added Walach.

The company’s AI model is both on imaging and clinical data. This creates an engine of reasoning which acts as “a layer of intelligence which extends over the entire flow of clinical work”-from imagery to follow-up care and beyond, he pointed out.

In his opinion, Aidoc stands out from other AI clinical companies in the radiology space due to the strength of its technology. The startup platform incorporates imaging AI, DSE data, laboratory results and the orchestration of real-time workflow, noted Walach.

“This system architecture allows AIDOC to treat the full continuum of care, radiology through acute intervention and hospitalized patients,” he said.

More than 150 health systems use the startup platform, including Mount Sinai, Yale New Haven’s health, the Health Temple and the University of Miami Health System.

The return on investment for health systems is generally measured by the faster processing time, shorter residence lengths, increase in flow, leak reduction and higher diagnostic yield.

Photo: Darunechka, Getty Images