Digital health maturity models have gained significant importance as essential tools for healthcare organizations aiming to enhance their digital infrastructures. Their role in documenting current digital capabilities and creating actionable pathways for advancement has become indispensable.
The landscape of artificial intelligence (AI) in healthcare is burgeoning with potential, yet significant challenges hinder its full realization. Addressing these challenges, Vanderbilt University Medical Center (VUMC) and Duke University School of Medicine have embarked on a groundbreaking project
The HIMSS Analytics Maturity Assessment Model (AMAM) is an essential framework that helps health systems benchmark and improve their analytics and artificial intelligence capabilities, particularly in the ever-evolving landscape of healthcare technology. The model, originally launched in 2016, has
On October 2, 2024, the Healthcare Information and Management Systems Society (HIMSS) introduced an updated version of its Analytics Maturity Assessment Model (AMAM) at the HIMSS APAC Health Conference & Exhibition. This upgraded model aims to assist health systems in evaluating and enhancing
The United Kingdom’s National Health Service (NHS) has embarked on a groundbreaking partnership with Wing, a subsidiary of Alphabet, and Apian, a healthcare logistics company. This alliance seeks to revolutionize urban healthcare logistics in central London by deploying a medical drone delivery s
AI startups targeting the healthcare sector have shown great promise in recent years, but they must navigate unique challenges to succeed. While the potential for innovation in clinical care, administrative efficiencies, and patient outcomes is immense, these startups must overcome several key
