Analytics

AJ Missaghi, Healthcare and Life Sciences CTO at Dell Technologies, shared how the rapid explosion of data is demanding it be analysed more quickly.

Investigators used natural language processing and deep learning to explore the prevalence of patient information duplicated from prior notes in medical records.

Working with the Pittsburgh health system's VC and innovation arm, the company aims to build out its data management platform, enabling a more streamlined process for clients to access unstructured clinical notes.

The health system harnessed information and technology to boost vaccination rates for people of color and mitigate infections among its acute care patients, among other achievements.

Working with Harvard and MIT, the company will help academic medical and pharma researchers build machine learning models for troves of healthcare data on the Terra cloud platform, advancing precision medicine.

The information offers guidance on actions hospitals can take to strengthen and sustain the healthcare workforce today and over the near future and long term.

It is gathering real-world evidence to inform treatment guidelines for severe asthma.

Incorrect, outdated or incomplete utilization data may not accurately reflect the underlying health risks and needs of disadvantaged populations, according to new research from the Terry Group, which offers strategies to address the challenge.

A new analysis examines how artificial intelligence in medicine can impact clinical decisions and identifies the steps that could build more trust in machine learning models from doctors and patients.