Augmented intelligence to predict 30-day mortality in patients with cancer.

Ajeet Gajra¹, Marjorie E Zettler¹, Kelly A Miller², Sibel Blau³, Swetha S Venkateshwaran², Shreenath Sridharan², John Showalter², Amy W Valley¹, John G Frownfelter²

¹Cardinal Health Specialty Solutions, Dublin, OH 43017, USA.

²Jvion, Inc., Suwanee, GA 30024, USA.

³Rainier Hematology Oncology/Northwest Medical Specialties, Tacoma, WA 98405, USA.

PubMed DOI

Abstract

Aim: An augmented intelligence tool to predict short-term mortality risk among patients with cancer could help identify those in need of actionable interventions or palliative care services. Patients & methods: An algorithm to predict 30-day mortality risk was developed using socioeconomic and clinical data from patients in a large community hematology/oncology practice. Patients were scored weekl…

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