Implementing clinical decision support for oncology advanced care planning: A systems engineering framework to optimize the usability and utility of a machine learning predictive model in clinical practice.

Authors

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Teja Ganta

Tisch Cancer Institute, Division of Hematology and Medical Oncology, Icahn School of Medicine at Mount Sinai, New York, NY

Teja Ganta, Stephanie Lehrman, Rachel Pappalardo, Madalene Crow, Meagan Will, Mark Liu, Robbie Freeman, Arash Kia, Prathamesh Parchure, Alla Keyzner, Madhu Mazumdar, Aarti Sonia Bhardwaj, Cardinale B. Smith

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Poster Details

Meeting

2021 ASCO Quality Care Symposium

Session Type

Poster Session

Session Title

Poster Session B: Patient Experience; Quality, Safety, and Implementation Science; Technology and Innovation in Quality of Care

Track

Technology and Innovation in Quality of Care,Patient Experience,Quality, Safety, and Implementation Science,Cost, Value, and Policy,Health Care Access, Equity, and Disparities

Sub Track

Use of IT/Analytics to Improve Quality

Citation

J Clin Oncol 39, 2021 (suppl 28; abstr 330)

DOI

10.1200/JCO.2020.39.28_suppl.330

Abstract #

330

Poster Bd #

F8

Abstract Disclosures

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