Decision Support

Data integrity and model validity are also must-haves, says an expert, who offers his ideas on a "clean data" mentality and explains why explicit consent is essential for training algorithms.

The organisations have also set up a joint AI research lab for population health and digital health.

It expects to get a contract shortly to supply its AI solutions in over 170 hospitals across the kingdom. 

The agency is working on several value-based healthcare initiatives to improve patient outcomes.  

A teleburn pilot that relies on telehealth technology enables ER doctors at three of Northwell Health's New York City-area hospitals to conduct virtual consults with specialists at the Staten Island University Hospital Regional Burn Center. 

According to Israel Armstrong, Wolters Kluwer's EMEA director of Clinical Effectiveness Medi-Span Europe needs to establish solid digital foundations including robust decision support within pharmacy workflows.

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.