AI & Data Analytics

Here are six ways that AI has played a critical role in conquering the pandemic.

Leslie Trigg, CEO of Outset, discusses how imbedded cloud-computing technology in home dialysis machines can improve quality of care for patients, and how the pandemic has boosted demand for these machines.

Following a checklist improves data capture, enhances patient engagement, and increases access to care.

A conversation with Art Papier, MD, CEO and co-founder of VisualDX.

Justin Williams, CEO of Noteworth, discusses how predictive analytic tools can improve the quality of care for patients with chronic diseases, discharged hospital patients, and patients from rural communities.

Carol McCall, from ClosedLoop.ai., discusses what’s holding back healthcare administrators from taking advantage of what artificial intelligence (AI) platforms have to offer and what the future holds for AI and machine learning in healthcare.

Before the pandemic, the healthcare sector was a prime target for cybercriminals. But the rise of remote work has only increased vulnerability

Healthcare procurement leaders and legal executives are discovering that today’s CLM solutions hold the keys to improved agility, resilience, and competitiveness—while ensuring regulatory compliance.

Diane Bryant, CEO of NovaSignal, details the advances seen in the NovaGuide 2 platform

Responses collected from longitudinal surveys show how patient-reported data can help improve hospital quality.

Microsoft will acquire Nuance Communications, Inc. for around $16 billion.

Besides the ability to ramp up quicky, healthcare leaders are looking for systems that can accommodate remote work—and some predict that certain workers who fled offices due to COVID-19 will never return to traditional settings.

A panel of experts discussed how care coordinating technologies that were employed during the pandemic can help improve home care for patients in a post-COVID-19 world.

The highest performing machine-learning model achieved an AUROC of .7875.

The tech is feasible to use in resource-limited setting to detect abnormalities and under-diagnosed diseases.

Socioeconomic and demographic characteristics of the family, parents’ psychological state, and parenting practices are the most important factors contributing to the prediction.

The algorithm performed at high accuracy.

The industry may be poised to most benefit from AI technology.

Dr. Mitesh Patel, director of Penn Medicine's Nudge Unit, explains how a field of research rooted in economics is now bringing clinical benefits to patients within a health system.

The algorithm can be adopted by other hospitals and health systems to identify incident stroke.

The findings could guide policies relevant to the development of AI.

Drug repurposing can reduce the time it takes to get a drug to market.

An AI-enabled ECG algorithm could speed identification and treatment of heart failure among individuals presenting with shortness of breath.

Lora Swenson, business manager at KU MedWest, discusses how a text message platform improves workflows and patient satisfaction.