Decision Support

While RPA has proved its success for some administrative functions, other technologies are emerging as options to help address the worker shortage and reduce workload in clinical and operational areas.

Christian Wernz, senior data scientist at UVA Health System, will explain more about this approach to tracking social determinants and population health at HIMSS22.

Training artificial intelligence models on more diverse image and data sets can augment decision-making, overcome knowledge gaps, and promote greater health equity and outcomes, says one expert.

In a preview of his HIMSS22 session, the CEO of Tripleblind explains the value of private data – and describes how his company's technology enables datasets to be used for model training while complying with an array of privacy regulations.

HIMSS Analytics awarded the Saudi Arabian hospital the highest level of validation for inpatient digital maturity.

The deal with the private equity firm is a "clear next step as IBM becomes even more focused on our platform-based hybrid cloud and AI strategy," said a Big Blue exec.

Manu Aggarwal of the Everest Group explains how the technology can help both caregivers and patients, and offers health IT leaders some valuable advice.

Evaluating algorithms' efficacy often takes a lot more effort, as Johns Hopkins Machine Learning and Healthcare Lab Director Suchi Saria explained, with tips, at the HIMSS Machine Learning and AI for Healthcare Forum.

In the COVID-19 era, health systems recognize that existing data infrastructure is inadequate. Here are three things large datasets need to be useful.

Dr. Oleg Bess, a practicing physician and CEO of 4medica, discusses how technology and clinical informatics can help solve challenges such as duplication and overlay, and enable more effective decision support.