Great minds are coming together to innovate using AI in healthcare, and this health system is at the forefront.
The future is bright for healthcare innovation, and Houston Methodist is steering the ship to new horizons.
In partnership with Rice University, the health system celebrated the first summit of the Houston Methodist-Rice University Digital Health Institute (DHI) on October 7.
AI was top of mind at the summit as the attending leaders and clinicians spoke of its potential to revolutionize healthcare. Of the 20+ projects that launched through the DHI, many of them have to do with leveraging AI models to streamline and personalize patient care. One project aims to create a "digital twin" using EMR data and exposome data to predict patient trajectories and long-term outcomes using AI. Another strives to use AI to develop personalized insulin dosing algorithms for patients with type 1 diabetes.
Here are four ways that AI impacts patient care at the bedside, according to Pothik Chatterjee, executive director of the DHI.
G Hatfield is the CNO editor for HealthLeaders.
KEY TAKEAWAYS
AI can be used in precision diagnostics and predictive analytics to obtain more accurate diagnoses and analysis of a patient's data with the goal of taking a more proactive approach to care.
AI also has an impact on workflow efficiency, specifically with documentation and administrative tasks.