Mobile health technologies, or mHealth, enable the collection of patient-generated health data outside clinical settings, offering the potential to support personalised care and inform clinical ...

The goal should be purposeful integration: using records to improve context for education, navigation, and appropriate escalation—without presenting the tool as a substitute for professional judgment.

Abstract: The prediction of patient care costs is essential in supporting hospital financial planning and enhancing service transparency. This practical work report presents the development of a cost ...

Data from the Department of Veterans Affairs shows it cut hiring times for health care employees by more than half, compared to last year. But a Democrat on the House VA Committee says that ...

Republicans think patients should be shopping for better health care prices. The party has long pushed to give patients money and let consumers do the work of reducing costs. After some GOP lawmakers ...

The prediction of patient care costs is essential in supporting hospital financial planning and enhancing service transparency. This practical work report presents the development of a cost prediction ...

ABSTRACT: Accurate prediction of survey response rates is essential for optimizing survey design and ensuring high-quality data collection. Traditional methods often struggle to capture the complexity ...

ABSTRACT: The surge of digital data in tourism, finance and consumer markets demands predictive models capable of handling volatility, nonlinear dynamics, and long-term dependencies, where traditional ...

One way AI can be meaningful in health care is in scheduling follow-up appointments, ensuring that serious cases don't fall through the cracks. Carly Quellman, aka Carly Que, is a multimedia ...

Keker, Van Nest & Peters entered an appearance for LinkedIn in a pending privacy class action that alleges the professional social networking company unlawfully collected users' private health ...