Analytics
AI has already moved beyond its status as a novel technology with exciting potential use cases to one that is helping solve real-world challenges and improving patient outcomes, says Todd Schlesinger, VP of business development at Jvion.
patient experience
With the maturity of the Nordic healthcare model, the time is ripe to focus on predictive care, while lowering the costs to patients and improving efficiency for providers, says Cambio Healthcare Systems SVP Jan E. Larsson.
A multi-year agreement with the machine learning company will start with a tool to identify high-risk GI patients, eventially expanding to other high-burden diseases.
The vendor’s event management technology is designed for monitoring threats to healthcare organizations and comes with built-in connectors for major healthcare applications such as Epic and Cerner.
The partnership aims to give hospitals better insights into real-time patient data, boosting coordination with post-acute providers, payers and physician groups across the state.
Leonard D'Avolio, founder and CEO of Cyft, says machine learning is only a means to an end, helping organizations learn from data more quickly and intuitively.
Workforce Development
The money will help Atlanta University Center Consortium Data Science Initiative improve education in healthcare analytics at historically black colleges and universities.
Google, the University of Chicago Medical Center and University of Chicago are listed as defendants in a class action suit that alleges they failed to properly de-identify sensitive patient medical data.
The CEO says cash raised by the stock offering will help broaden the analytics and data capabilities it can offer its payer and provider customers – and drive innovations in AI, blockchain, robotics and more.
With remote patient monitoring a hot topic among healthcare providers, a new survey indicates patients would be open to outfitting themselves with wearable devices if it resulted in fewer trips to visit the doctor.