CHICAGO—Innovaccer, a Big Data company focused on value-based care, unveiled a conversational AI assistant and other new solutions aimed at providers at HIMSS23.
The AI assistant, dubbed Sara, generates complex analytic insights about population health data via humanlike responses. Its goal is to put enterprise healthcare analytics into the hands of care teams. Providers can ask Sara complex questions about their health system’s population and get immediate answers on various metrics.
Innovaccer also unveiled five other solutions to help providers improve clinical, financial and operational performance metrics associated with value-based care delivery.
“I can’t think of a single health system, hospital, or individual provider that isn’t committed to improving the health outcomes of their community as a whole,” Abhinav Shashank, co-founder and CEO of Innovaccer, said in an announcement. “Every provider will tell you that they need better tools and technology to deliver the level of care and experiences that consumers are looking for today.”
All six solutions are powered by Innovaccer’s Data Activation Platform, which unifies patient data between disparate EHRs and across care settings to give providers access to the tools they need at the point of care.
Sara comes from the name of Hindu goddess Saraswati, "the goddess of knowledge who brings order out of chaos,” said Kanav Hasija, co-founder and Innovaccer's chief product officer. “Sara makes healthcare data conversational," he said.
The other solutions Innovaccer unveiled are:
Health 1:1: An enterprise customer relationship management (CRM) solution that integrates clinical and consumer data into a longitudinal patient record. The tool aims to help health systems find new patients and retain them. The integrated data also help tie financial outcomes to patient acquisition and retention initiatives. The company claims the tool is the first enterprise CRM tool built exclusively for healthcare.
Health Equity: A new tool to help health systems close care gaps among underserved communities. The tool helps estimate socioeconomic needs, build cohorts based on social risk, develop targeted interventions and tap a network of community resources for referrals. It integrates SDOH insights into clinical workflows, while assessments and surveys capture changing social needs. Health systems can track performance with the tool’s customizable dashboard.
Network Optimizer: This tool helps visualize market dynamics and aims to improve network design and performance, decrease care costs and improve care quality. It uses multi-market payer claims data to simulate network configurations and track how they affect performance. It can also help predict the impact of including or excluding a provider group on the health system’s performance.
Readmission Predict: Developed to help optimize discharge care planning and care management with AI that predicts the likelihood of readmissions at the time of discharge. It also analyzes clinical and SDOH data and claims profiles to suggest targeted interventions to providers. The tool’s goal is to help providers prioritize resources, improve outcomes and lower readmission rates and costs.
Risk AI: A new tool to boost coding accuracy, the solution analyzes unstructured EHR and clinical data to help identify suspect codes and close coding gaps. It leverages AI, machine learning and other methods to flag potential conditions that might impact a person’s risk score. Suspect codes are then shown to providers at the point of care.