Artificial Intelligence

The partnership integrates a specialty care platform that combines electronic monitoring with health coaches to improve heart and vascular care. 

Researchers applied algorithms to data from 200,000 intensive care unit stays at 208 hospitals to develop two models that could help clinicians assess patient risks and apply interventions.

A lack of quality clinical data is hindering machine learning models for oncology and other treatments, says Steve Irvine, CEO of integrate.ai, who describes how federated learning approaches can enable secure access to a wider array of datasets.

 An innovation culture at Sheba Medical Center has produced efficiencies and cost savings.

The health system selected Biofourmis, which can analyze more than 120 biomarkers in real time, to extend hospital-level care to patients across Central Florida. 

The program, called Transform, will help tech startups with a focus on machine learning, data engineering, analytics, healthcare, biotech, cybersecurity, IoT and more.

Improving health outcomes and reducing health inequities.

Predictive analytics in EHRs aren't yet effective enough for clinical decision support at the point of care.

NLP can help providers make gains with social determinants of health, population health analytics, predictive analytics, real-time clinical decision support and precision medicine, says Dr. Calum Yacoubian, director of healthcare strategy at IQVIA.

IDC Health Insights recently published its 2023 Worldwide Healthcare Predictions report. Mutaz Shegewi, the firm's research director, unpacks those findings.