Diagnostic Robotics

A company for prediction and care coordination

Diagnostic Robotics was founded in 2017 by Kira Radinsky, Yonatan Amir and Moshe Shoham, according to CTech. The Israeli company serves health insurers, care providers and organizations that manage care. The question at the heart of the product is whom to reach out to in advance, before a condition worsens or before another hospital visit. The current website presents a system that combines predictions with administrative tasks and calls. This is software for the health system, even though the name includes the word robotics. Its outputs go to care teams and work systems, and are not described as actions by a physical medical robot. The leadership page now lists Kira Radinsky as founder and CTO and Nigel Ohrenstein as CEO. These roles differ from the list of the company's founders when it was set up.

How a list of patients to contact is created

The prediction engine analyzes information from insurance claims, medical records, medications and lab tests. According to the official product page, the predictions are updated when new information arrives. The models deal with the risk of an emergency room visit, hospitalization, readmission and worsening of chronic diseases. They also look at non-adherence to treatment and the risk of missed appointments. The system shows the main factors that explain each prediction and passes the information to the worklists of care managers. That way, a risk score becomes part of the process of contacting a patient, instead of remaining just a number in a general population report.

What the voice and action agents do

The company's website presents Maxine, a voice agent designed for inbound and outbound calls in healthcare. The listed uses include scheduling appointments, reaching out to patients and encouraging medication adherence. Alongside voice, the site presents action agents for document intake, chart review, care management and payment review. The prediction engine feeds the order of outreach and the worklists. This links identifying a need with handling the process around it. The description of these uses is the company's own, and it should not be concluded that each use has been deployed in every organization or has replaced a professional.

Raising capital as a private company

On 25 July 2022 CTech reported a second funding round of $45 million led by StageOne Ventures. Participants included Migdal, Clal, Bank Hapoalim and Mayo Clinic, along with existing investors. The same report said total funding had reached about $70 million. The article also mentioned a $24 million raise at the end of 2019 and a later extension of it. Mayo Clinic is mentioned there as an investor, not as a client.

A prediction with an explanation and a control process

The prediction page describes fairness monitoring, detection of changes in model behavior, and data traceability. The company presents the explanation alongside the prediction as part of the product, as well as routing results to care management systems and data warehouses. These are the control mechanisms the company describes, not an independent audit of bias or of the accuracy of the predictions. The documented focus of use is supporting a health system's outreach and decisions through information, explanations and workflows.