Decision Support

Healthcare organisations across the globe are facing immense challenges, including workforce shortages and staff dissatisfaction. To help enhance patient care they must prioritise the integration of evidence-based practice into clinical workflows.

It also looks to expand the application of the AI model to predict a patient's length of hospital stay.

Deploying the model with EHR data could help address cancer patient navigator burnout. The process could be scaled to serve all oncology patients in need, a retrospective simulation study showed.

By expanding DAX Express, hosted in Microsoft's Azure OpenAI, into EHR workflows, the goal is to reduce "what used to be hours of time for clinical documentation to mere seconds," says one CIO.

It is part of a phased implementation across SingHealth.

Dr. Don Rucker, now chief strategy officer with 1upHealth, weighs in on where TEFCA is headed and his fundamental concerns about veering away from the way the rest of industry computes.

The factors influencing health outcomes occur outside of traditional healthcare settings, but tools that effectively capture and use social determinants of health data can help providers advance health equity.

Despite a wide array of use cases for the LLM – in medical education, clinical practice and beyond – there are some big drawbacks to be aware of, says R. Ryan Sadeghian, CMIO of Hunterdon Healthcare System.

The company says the deep learning-enhanced technology can acquire MRI images up to 12 times faster than conventional methods, matching the speed of MRI to the speed of physiology.

The large language model is still in testing, but the AI tool had a median accuracy score of 77.8% compared to a physician score of 62.8%. The code base is now available to all healthcare organizations.