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.

PulseData's ML/AI solution identifies undiagnosed and under-diagnosed patients at risk for chronic conditions and significantly improves HCC accuracy.

PulseData is advancing healthcare with data-driven actionable clinical insights giving payers, providers and other value-based care organizations the power to improve clinical and financial outcomes, close care gaps, and improve HEDIS and CAHPS scores. PulseData leverages large, diverse datasets and deep clinical expertise to effectively identify patients with chronic conditions. Using cutting-edge machine learning and AI models, PulseData enables early intervention, equipping healthcare teams with informed, data-driven insights precisely when they matter most – at the point of care.

PulseData’s thoughtful model development avoids machine learning biases, prioritizes model explainability and ensures optimal model performance. Our tailored collaborative approach with our valued clients creates meaningful, impactful, and relevant workflows. The resulting actionable insights can be viewed on our platform and seamlessly integrated into clinical workflows to enhance and support care management workflows.

At the nexus of technology and healthcare, PulseData empowers providers to make well-informed decisions, which improve patient outcomes, reduce costs, and improve program performance. Learn More at pulsedata.ai.

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.

PulseData's ML/AI solution identifies undiagnosed and under-diagnosed patients at risk for chronic conditions and significantly improves HCC accuracy.

PulseData's ML/AI solution identifies undiagnosed and under-diagnosed patients at risk for chronic conditions and significantly improves HCC accuracy.