On-Demand Webinar

Earlier and faster diagnostics with AI

Analytics and health data working hand in hand to improve care and innovation

With patient waiting lists rapidly increasing, the NHS is in desperate need of new ways to tackle the growing backlog in a way that is effective, timely and manages the unique needs of the patient.

A medical practitioner should be able to receive an early prediction of the patient's risk for a variety of outcomes and diagnoses within 60 minutes - based on Artificial Intelligence. Outcome such as, a risk of death within 7-30 days, sepsis, uncomplicated patient, and other relevant clinical outcomes may be included.

The selection of the analysis is undoubtedly of great importance for the patient's treatment and development - and correct initial tests are critical. Incorrect hypotheses about the patient's diagnosis and associated analysis are a major burden in relation to complications that can affect initiated treatment, prolonged hospital stay and unnecessary use of the limited laboratory technical resources.

In this on-demand webinar an experts' panel from NHS, Lillebælt Hospital and SAS discussed on how AI can accelerate the speed of innovation and improve the quality of patient diagnosis.

• What are the main AI drivers to achieve earlier and faster diagnostics?
• How a rapid diagnostic can help NHS to increase productivity, optimise resources, reduce mortality and improve patient outcomes.
• How to deliver the correct patient treatments based on analytical and clinical decisions.