Decision Support
The Advanced Research Projects Agency for Health says new funding to advance capabilities that detect and auto-correct misalignments with training data could help users of medical devices integrated with artificial intelligence ensure peak performance.
A first deployment at Sumedang regency will focus on addressing tuberculosis, stunting, and hypertension.
It has chosen a solution from South Korean company Lunit following recent government-backed trials.
Syapse consolidates and processes real-world patient data from numerous large health systems around the world providing oncology care. Insights derived from this data help those health systems improve their quality of care, strengthen the efficiency of clinical trials and add to the body of clinical knowledge that supports oncology care decisions.
A new retrospective analysis leveraged the American College of Cardiology algorithm to score cardiac arrest arrivals and predict unfavorable neurological outcomes. It's now available on the internet.
Also, the Korean government is investing $25 million in developing AI for drug discovery.
Julie Harris, Children's Health Alliance senior director of population health, explains how giving providers more information at the point of care by tracking 35 key quality measures reduces their burdens in meeting value-based incentive targets.
If artificial intelligence can do good for struggling patients and help them avoid crippling medical debt, half of the Americans said they are in.
Nursing and IT
Integrating analytics and care coordination recommendations into EHR workflows has helped reduce lengths of stay, says the health system's COO – lowering costs, boosting patient access and reducing burdens for nurses and other clinicians.
Emmanuel Bilbault, cofounder and CEO of POSOS, says the company's AI-powered clinical support platform offers alternate drugs to prescribe to avoid interaction risk, rather than simply alert doctors of possible medication errors.