Aidoc continuously monitors relevant medical exams and results across radiology, cardiology, and neurology to identify critical findings, triage patients, and coordinate care. Aidoc’s AI solutions are integrated into clinical workflows, enabling faster diagnosis and treatment with its FDA-cleared AI tools for patient management and care coordination.

AITRICS Vital Care predicts the likelihood of patient deterioration within a hospital using data from EHRs including six vital signs, 11 blood test results, the patient's state of consciousness, and age to provide early warnings when a patient's condition could lead to sepsis, death, or cardiac arrest.

Azra AI develops AI-powered solutions aimed at optimizing clinical workflows in healthcare, particularly in oncology and radiology. Their technology is used to automate the identification and prioritization of cancer patients from pathology reports, manage incidental findings in radiology, and streamline tumor registry processes. By integrating with existing healthcare systems, Azra AI's tools help healthcare providers deliver timely and efficient care, reduce workflow inefficiencies, and ensure compliance with regulatory standards.

Bayesian Health is AI-driven clinical risk monitoring and decision support platform designed to detect early signs of patient deterioration. The system continuously monitors patient data across vitals, lab results, and clinical notes, identifying patterns that may indicate worsening conditions. When potential risks are detected, it flags these issues to the care team within their existing workflow, prompts clinicians to provide additional clinical context, and offers automated documentation. The AI adapts and learns from clinician feedback to improve its accuracy over time.

Carenostics offers AI-powered clinical decision support tools designed to enhance the management of chronic diseases like diabetes, hypertension, and chronic kidney disease. Their solutions integrate with EHRs to analyze patient data, providing early identification and actionable insights to healthcare providers. This helps in better disease management, personalized care, and reducing hospital admissions.

CLEW provides AI-driven predictive analytics for healthcare, particularly in ICUs and other critical care environments. The platform aggregates data from EHRs and patient monitoring systems, to create real-time physiological profiles of patients. CLEW’s system continuously monitors these profiles using AI models to predict patient deterioration, sending alerts to care teams when necessary. It supports remote and virtual care models, and integrates with existing hospital systems.

Etiometry provides a clinical decision-support platform designed for ICUs, offering real-time data aggregation, visualization, and risk analytics. The platform integrates data from monitoring systems, peripheral devices, and EHRs to offer a comprehensive view of patient physiology. With nine FDA clearances, the platform includes proprietary risk indices to detect early signs of deterioration, enabling timely interventions and improving patient outcomes.

Jvion provides an AI platform that helps healthcare providers find patients at risk for preventable health issues and suggests ways to intervene. The platform analyzes clinical records and social factors to identify risks that can be addressed to prevent negative outcomes like hospital readmissions. It focuses on practical use cases like chronic disease management and improving care quality.

Luminare offers a predictive AI-enabled sepsis detection and management tool to enable early detection, automated intervention, and improved reporting, while integrating with existing hospital protocols. Their offerings include various service tiers to accommodate different organizational needs, from stand-alone products to fully EHR-integrated enterprise solutions.

Radial Analytics Hospice offers decision support to care management and palliative teams, helping them quickly identify patients who might benefit from hospice services. It prioritizes patients based on clinical justifications, such as chronic illness control and recent health decline. The platform enhances workflow efficiency by consolidating patient history, aiding in better time allocation and resource use.

Radial Analytics Placement is a cloud-based decision support tool designed to optimize patient discharge planning from acute to post-acute care. It aids care teams—such as nurses, physical therapists, and social workers—by analyzing patient data to suggest the best care options, including those that might allow patients to safely return home with appropriate services. The tool facilitates real-time care coordination among hospitals, ACOs, and payers, aiming to reduce unnecessary post-acute facility stays and readmissions.

Sensorum AI provides passive, home-based remote monitoring and clinical intervention services aimed at reducing hospitalizations among high-risk, chronically ill patients. The system uses sensor technology to detect early signs of health decline without requiring patient engagement with devices. When concerning patterns are detected, Sensorum's nurses validate the data and coordinate care.