ADR empowers hospitals to immediately identify attacks that in-place IT systems frequently miss. Impacted devices exhibiting malicious activity are immediately identified and quarantined to prevent attack spread while allowing continued patient care. Forensic data is then made available in the Cynerio platform to allow investigation, remediation, and recovery measures to be carried out when the device is not in use.

Cynerio enables healthcare providers to rapidly identify and reduce risk related to Iot, Medical IoT and connected medical devices within their environments. Cynerio technology is designed for rapid deployment throughout healthcare environments regardless of size, and is paired with the human expertise needed to begin addressing risk within a matter of days.

Health systems use eCART to quickly and efficiently direct clinical resources toward their most critical patients and ensure timely and consistent care. Our sophisticated reporting and benchmarking further empower clinical leadership to understand and drive practice patterns. eCART draws upon readily available patient data from the EHR, rapidly quantifies disease severity, and predicts likelihood of critical illness onset, hours before it happens. Built upon more than a decade of ongoing scientific research, eCART was developed at the University of Chicago by Dr. Dana Edelson, MD, MS and Dr. Matthew Churpek, MD, PhD and is well chronicled in published literature. The analytic and workflow have been in use in clinical practice since 2016.

At AgileMD, we are building the most advanced real-time predictive analytics and clinical pathways platform for hospitals.

To date, AgileMD tools have been used on nearly 2.5 million patients by more than 80,000 providers in over 150 hospitals, including some of the nation's leading academic medical centers. AgileMD is backed by premier accelerators MATTER, YCombinator, and Rock Health, and our cutting-edge analytics are built on a decade of ongoing research at the University of Chicago. In 2021, AgileMD garnered nearly $3 million in combined federal research and development funding from the National Institutes of Health (NIH) and Health and Human Services (HHS) to further advance our platform.

Many organizations have well tested IT risk reduction systems in place, but very few of those extend to the hundreds and thousands of IoT devices within the average healthcare facility. Cynerio extends the practices of internal IT tools by providing solutions to specifically identify IoT related risk.

Many competitors focus on an inventory-first approach that results in ongoing discovery but often falls short at risk identification and reduction. Cynerio is designed to concurrently identify assets and risk, while providing actionable risk reduction guidance within a matter of hours and days.

• 10+ years of published academic literature on value over other early warning scores
• Analytics derived and validated in robust patient datasets 
• Built by clinicians for clinicians, with full cross-team workflow to ensure risk scores are understood and acted upon

• 8+ years in clinical use
• High sensitiviy and specificity, meaning fewer false alarms and more efficient focus on the highest risk patients
• Integrated workflow to ensure that risk scores are not ignored and action is taken
• Robust reporting and benchmarking to drive quality improvement
• Deep EHR-integration