The new software will leverage natural language processing capabilities to evaluate EHR data along with imaging AI to identify and triage patients suspected of lung disease.
RT’s Three Key Takeaways:
- Expanded Capabilities: Viz.ai has expanded its AI-powered platform with new natural language processing (NLP) capabilities, enabling it to mine electronic health record (EHR) data for more effective lung disease diagnosis and management.
- Enhanced Patient Care: By integrating NLP with imaging AI, Viz.ai aims to streamline care pathways, accelerating diagnosis and treatment for lung disease patients.
- Collaborative Efforts: Viz.ai is working with leading research institutions and advocacy groups to enhance early detection and improve clinical workflows.
Viz.ai, a provider of artificial intelligence (AI)-powered disease detection and intelligent care coordination, announced expanded lung disease software capabilities.
New natural language processing (NLP) capabilities, on top of imaging AI, will extend Viz.ai’s pulmonary solutions by mining clinical insights from the electronic health record (EHR) and identifying and managing patients with lung disease. The software will be incorporated into Viz.ai’s platform to accelerate and enhance the care process, aiming to reduce time to treatment and improve patient outcomes.
“The signs and symptoms of lung disease are often subtle and easily confused with the symptoms of other common diseases, making it difficult to discern the appropriate route of care,” says Jack Manley, MD, head of new markets and growth at Viz.ai, in a release. “With more than 35 million people in the US living with a lung disease like asthma or COPD, and with lung cancer remaining the leading cause of cancer deaths, Viz’s AI-powered platform has the potential to accelerate the time it takes patients to receive an accurate diagnosis—getting to the right specialist and treatment at the right time, thereby preventing life-threatening events and hospitalizations.”
Lung disease is a significant contributor to illness and death in the US, with chronic respiratory diseases accounting for the third leading cause of death worldwide. Many lung disease patients fail to receive optimal treatment due to improper identification of high-risk patients, poor care coordination, lack of treatment monitoring and escalation, high administrative barriers to therapy, and more. Better care coordination for lung disease patients can improve outcomes by closing gaps between patient review and time to treatment.
Leveraging NLP to Evaluate EHR Data
This expansion of Viz.ai’s pulmonary solutions, in addition to Viz Pulmonary Embolism (PE) with right ventricular strain, will leverage NLP to evaluate EHR data along with imaging AI to identify and triage patients suspected of lung disease for further follow-up and care.
The new expansion will be embedded into Viz.ai’s AI-powered care acceleration platform, enabling HCPs to streamline care pathways, manage high-risk patient referrals and follow-ups, and improve overall patient outcomes. Viz.ai is working with leading research centers and patient advocacy groups to advance its efforts to combat lung disease.
Last month, Viz.ai announced its partnership with the Addario Lung Cancer Medical Institute, an international consortium made up of 25 lung cancer research institutions, to collaborate on improving lung cancer outcomes in patients by focusing on early detection with improved clinical workflow for nodule workup through to precision medicine optimization.
