Artificial intelligence for better goals of care documentation

Objectives Lower rates of goals of care (GOC) conversations have been observed in non-white hospitalised patients, which may contribute to racial disparities in end-of-life care. We aimed to assess how a targeted initiative to increase GOC documentation rates is associated with GOC documentation by race.Methods We retrospectively assessed GOC documentation during a targeted GOC initiative for adult patients with an artificial intelligence predicted elevated risk of mortality. Patients were admitted to an urban academic medical centre in Pittsburgh, Pennsylvania between July 2021 and 31 December 2022.Results The 3643 studied patients had a median age of 72 (SD 13.0) and were predominantly white (87%) with 42% admitted to an intensive care unit and 15% dying during admission. GOC documentation was completed for 28% (n=1019/3643). By race, GOC was documented for 30% black (n=105/351), 28% white (n=883/3161) and 24% other (n=31/131) patients (p=0.3933). There was no statistical difference in the rate of documented GOC among races over time (p=0.5142).Conclusions A targeted initiative to increase documented GOC conversations for hospitalised patients with an elevated risk of mortality is associated with similar documentation rates across racial groups. Further research is needed to assess whether this initiative may promote racial equity in GOC documentation in other settings.