Artificial Intelligence

The health system has invested in automating documentation, but AI chief tells WSJ he's not comfortable using AI for clinical decision-making.

Advancements in machine learning are enhancing new large language models' ability to undergo continuous learning and generalize to areas in which the model has not been trained – a transformative next step for AI in imaging.

"Tech CxOs' ability to insert their essential expertise into enterprise decisions will ultimately determine their organizations’ success in the AI era," a new IBM report argues.

Join Tanium and PwC as we explore the transformative power of Artificial Intelligence (AI) in the healthcare sector. AI is revolutionizing industries worldwide, and healthcare is at the forefront of this innovation wave.

Beyond overseeing the implementation of AI projects, CAIOs consider broader implications, such as changes to operations and culture. And they aim to ensure AI systems are developed and deployed ethically, transparently and responsibly.

Therapists at the mental health provider are quite happy with the results – mean time to complete documentation has improved by 75%. Some therapists say they would think twice about leaving WellPower because of the AI technology.

The assessment is designed to help healthcare organizations ensure they have the right governance in place for deploying artificial intelligence and machine learning models.

Explainable AI aims to make models more interpretable and transparent, ensuring their decision-making processes can be understood and trusted by clinicians and others.

The health system is already seeing benefits with reductions in clinician burden, its CIO says, and hopes the AI voice tool can broaden patient access while boosting cost efficiencies.

Enhance patient and staff safety with video surveillance technology that combines 24/7 protection with AI, advanced analytics and cloud management.