Analytics

Fakeeh Care Group CIO Dr Tamara Sunbul emphasises hospital digital transformation and the need for credible assessment models.

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. 

It has also saved around $1,700 in costs per patient, according to a recent study.

In one year, AMA's members leaped from curiosity in artificial intelligence tools to their integration into practice. Now, an eight-step governance framework encourages providers to establish AI accountability, oversight and staff training requirements.

The standard aims to protect IoT device data, including RFID tags and medical implants. Four configurations focus on two main tasks – authenticated encryption with associated data and hashing.

The collaboration aims to create AI agents that can analyze and act on unified health records and social data to improve access, streamline care coordination, and boost staff and patient engagement. 

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

Elizabeth Murumalla, IS project manager at WakeMed Health & Hospitals, describes how it is deploying generative AI and predictive modeling, and how its collaboration with Epic is helping manage some challenges along the way.

Mount Sinai researchers used a clinical and biomedical text processing model at six hospitals to analyze triage data and reliably predict hospital admissions.

HIMSS Market Insights study shows inadequate IT backbone to support essential technologies.