John Snow Laboratories and Cerner Enviza, an Oracle company, are supporting the U.S. Food and Drug Administration's Sentinel Initiative for medication safety. Oracle and John Snow will help the FDA better understand the impact of medications on big populations by creating artificial intelligence (AI) technologies designed to extract crucial information from clinical notes within electronic health records (EHR). This two-year research will illustrate how the application of machine learning and natural language processing (NLP) technology with unstructured data may assist cover knowledge gaps by examining the asthma medication montelukast and its potential for mental health adverse effects.
Cerner Enviza draws on decades of experience in the life sciences, including practical, clinical, and regulatory research. This entails collaborating with a wide range of Oracle provider networks in order to hasten the discovery, creation, and application of health insights and treatments. The Spark NLP library was created by John Snow Labs, which is renowned for its AI and NLP in the healthcare industry. In order to improve computerised inquiries, or phenotyping, of digital patient data and clinical notes to support pharmacoepidemiology, Cerner Enviza and John Snow Labs will collaborate to create a novel technique.
The Sentinel Innovation Center, which is led by Mass General Brigham and Harvard Pilgrim Health Care Institute, chose Cerner Enviza to serve as the team's leader.
"Development and evaluation of tools that can enhance our ability to utilize unstructured EHR data is a key strategic priority for the Sentinel Innovation Center. We look forward to this new relationship and exciting initiative led by Cerner Enviza," said Rishi Desai, Ph.D., Mass General Brigham executive leadership team member, Sentinel Innovation Center.
Understanding the symptoms and outcomes that patients experience at the population level can frequently be hampered by traditional manual methods for evaluating clinician notes. Yet, NLP procedures are now scalable and portable because to advancements in AI.
"This is an incredible opportunity to work with these exceptional leaders to use Oracle's de-identified EHR data to help transform unstructured clinical notes into validated and useable data for physicians and researchers," said Mike Kelly, global head, Cerner Enviza. "Connected technologies and unified data can accelerate innovation and, in turn, help providers realize better recommendations and outcomes for their patients."
"We are thrilled to team with Cerner Enviza to apply NLP in such an important real-world evidence project," said David Talby, CTO, John Snow Labs. "We're honored by the Sentinel Innovation Center's vote of confidence in our joint ability to help investigate this use case. Together, Cerner Enviza and John Snow Labs have all the right expertise, data, and technology to make it happen."
.jpg)
.jpg)
.jpg)
.jpg)
.jpg)
.jpg)
.jpg)
.jpg)
.jpg)
.jpg)
.jpg)
.jpg)
.jpg)
.jpg)
.jpg)
.jpg)
.jpg)
