Towards Automated Fall Risk Decision Support in the Nursing Home
The long-term goal of the proposed work is to develop an effective informatics intervention that prevents harm to nursing home (NH) residents from potential drug-drug interactions (PDDIs) while avoiding known issues with interaction alerting such as alert fatigue. In this talk I will discuss progress toward that goal that examines the feasibility and potential clinical usefulness of actively monitoring patients exposed to psychotropic drugs. The approach seeks to use electronic data available in most United States NHs to provide highly specific and actionable alerts to clinicians when a resident who is exposed to drugs combinations that confer an unacceptably high risk for experiencing a fall. The hypothesis is that this approach will extend the ability of NH clinicians to perform the recommended “diligent monitoring” of PDDIs, while avoiding alert fatigue. Moreover, I anticipate that the approach would be generalizable to other prevalent NH ADEs (e.g., delirium) and other drug classes (e.g., mood stabilizers).