Malnutrition, pressure injuries and acute kidney injury often go undetected during hospital stays. When these conditions are missed, patients face a higher risk of complications, and health systems miss out on reimbursement tied to the care those patients need.
The problem is timing. The clinical signals are scattered across the EHR, and chart reviews to identify complex conditions can be largely retrospective, when the opportunity to intervene is too late.
OhioHealth is shifting that work upstream. With AI embedded in Epic, the health system surfaces at-risk patients to the right clinician while they’re still admitted.
Join Cato Coleman, director of clinical nutrition at OhioHealth, to learn:
- How OhioHealth sees at-risk patients 2.5 days sooner on average at two hospitals
- Why nearly two-thirds of accepted AI flags have led to a confirmed malnutrition diagnosis
- How the approach can extend to other complex conditions hidden in the chart