Analytics
In her AI classes for medical students, Stéphanie Allassonière, professor of applied mathematics at the Univérsite Paris Cité, first teaches them how to properly collect and clean data to get the most accurate responses out of AI tools.
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09:20 am
July 22, 2024
According to Heuron CEO Myung-Jin Shin, the company's AI software can identify hemorrhages and assess stroke severity in under three minutes by analyzing a single scan. The company claims to be the first to diagnose Parkinson's via MRI.
Sharing real-world patient data with researchers could help optimize clinical trials and drive discoveries in precision medicine, says Gaurav Sharma, senior director, global client partner at Cognizant.
Anne Snowdon, chief scientific research officer at HIMSS, explains that interoperability is fundamental to enabling data-informed patient care decisions and is required for the use of AI and advanced analytics tools.
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03:48 pm
July 03, 2024
Ricardo Jorge Constantino, head of Clinical Innovation Europe at NTT DATA, describes innovation in clinical trials and measures to drive rapid adoption of insights from these trials into clinical practice.
ZeOmega uses AI to identify vulnerable patient populations and suggest ways to improve their health outcomes. Pravin Pant, the company's VP of advanced analytics, and Michael Gould, its associate VP of interoperability strategy, explain.
Connected care through the Memorial Healthcare System's mobile application gets patients engaged and taking more control of their care, and by feeding data to EHRs, can also help to save nurses time, says Jesus Diaz, director of nursing informatics.
Dr. Harm Scherpbier, CMIO of HealthShare Exchange, says new technologies are being developed to work alongside EHR systems that have been built for traditional fee-for-service, enabling data sharing for accountable care models.
Dr. Alan Forster, director of innovation, transformation and clinical performance at McGill University Health Centre, discusses data-driven insights to spot gaps in care and improve the evaluation of goals.
Generative AI and large language models sometimes give inaccurate answers, says Dr. Calum Yacoubian, director of NLP healthcare strategy at IQVIA. He describes techniques that can improve algorithms' accuracy.
