Healthcare Cohorts
AI and Blockchain-Driven Cohort Discovery
Overview
The Healthcare Cohort Discovery Platform leverages AI-based agentic workflows and blockchain technology to enhance data management and clinical decision-making across healthcare systems. Serving clients such as Meharry Medical College and Banner Health, this platform transforms how healthcare providers access and utilize patient data. The integration of AI and blockchain in cohort discovery not only streamlines data access but also enhances the quality of patient care through predictive analytics and efficient workflows. This innovative platform is pivotal in addressing the complexities of modern healthcare needs while supporting educational initiatives in applied informatics.
Different types of Cohorts
Demographic Cohorts
Age, gender, and ethnic/racial groups for targeted health outcomes analysis.
Clinical Cohorts
Patients with chronic diseases or those undergoing specific treatments for comparative effectiveness research.
Behavioral Cohorts
Grouping based on lifestyle factors and engagement levels with healthcare services.
Outcome-Based Cohorts
Analysis of quality of life metrics and hospital readmission rates to improve care strategies.
Research-Specific Cohorts
Epidemiological and genetic research cohorts for public health studies.
Healthcare Cohorts
Key Features
Multitenant Big Data Architecture
Predictive Surveillance System
AI Agentic Workflows
Benefits of Healthcare Cohorts
Improved Clinical Efficiency
Cuts documentation time in half and accelerates clinical decisions by providing evidence- based recommendations directly within existing EHR systems (e.g., EPIC, Meditech).
Enhanced Provider Satisfaction
Seamless integration into workflows minimizes administrative burdens, allowing healthcare professionals to focus more on patient care.
Transform healthcare insights with Healthcare Cohorts
