Precision Medicine

Healthcare organizations should join federal 'sandboxes' to help shape policy, prepare the workforce, and stay on top of compliance and ethics as artificial intelligence evolves, says Lora Sparkman, VP of patient safety and quality at Relias.

Data from over 20,000 seniors was examined using machine learning to identify acute risk factors.

The deep learning-based model was trained on data collected from nearly 15,000 patients.

At UGM25, the EHR giant announced new artificial intelligence models being developed for clinical charting through a collaboration with Microsoft, a patient-facing generative AI chatbot and a revenue cycle management agent. 

Also, Pakistani nursing institutes have adopted AI to boost training.

Also, Hoan My, a private hospital group in Vietnam, has implemented a network-wide EMR system.

Two remote liver procedures were completed despite long signal delays.

Developed at Children's Hospital of Eastern Ontario, the innovative tool can scan EHRs and spot data that might identify kids with undiagnosed or rare conditions. It helps refer them for genetic testing sooner, giving them more personalized care.

At NeoGenomics, early outcomes support faster turnaround for results, a marked increase in throughput and high satisfaction rates among pathologists interpreting next-generation sequencing results.

The country’s Ministry of Health is taking a different approach to digital transformation, emphasising value and tangible outcomes.