AI

The Digital Medicine Society's seal aims to evaluate health application products' baseline security, usability and clinical return on investment to help decision-makers scrutinize which tools are best for patient care.

The coalition's new draft certification frameworks, which could be finalized in six months after more stakeholder feedback, offer a way forward for artificial intelligence assurance labs and basic model transparency.

The new investment will also promote the wider uptake of medical imaging AI by 2025.

Executive leaders increasingly see AI as a digital technology investment that provides significant competitive advantages. However, an enterprise-wide digital platform approach is needed for AI tools to bring gains in productivity, experience and revenue.

Many organizations are operating on a fractured technology platform of hundreds, or even thousands, of solutions and apps that are neither connected nor integrated, resulting in siloed data, inefficient processes and costly technical debt.

Generative artificial intelligence (AI) tools that analyze large quantities of data and use natural language processing (NLP) algorithms to answer queries with relevant, accurate information can help healthcare organizations streamline hospital operations, reduce costs and increase efficiencies.

These predictions for 2024’s healthcare industry landscape reflect the increasing drive to automate and deploy AI applications to reduce costs and improve patient care quality.

A new form of AI-powered fraud is posing risks to healthcare bottom lines. Medicomp CEO David Lareau describes what it is, how to fight it – and how to help cautious executives concerned with the double-edged sword of artificial intelligence.

Privacy-enhancing technologies can help healthcare organizations ensure the safe use of AI-enabled analytics, machine learning and other advanced data applications, say the cofounders of Duality.