AI-based advanced care planning platform to align surrogate decision makers to improve end-of-life care
Awardee Organization(s): Koda Health
Principal Investigator(s): Desh Mohan, MD
Official Project Title: Patient-Surrogate Alignment in Digital Advance Care Planning
AITC Partner: PennAITech
Website(s): www.kodahealthcare.com

Advance Care Planning (ACP) encompasses educating patients on potential future healthcare decisions, clarifying patients’ values and healthcare preferences, and sharing decisions with family and care providers. Most individuals lacking decision-making capacity near end-of-life will need a surrogate decision maker (SDM) to make or voice decisions for them. However, less than 25% of SDMs are engaged in the ACP process or aware of patient preferences, and often feel unprepared for decision-making. Koda is a machine learning based ACP platform which offers dynamic educational content, decision guidance, and advanced directive documentation for patients and SDMs. Aims of this study are to: 1) determine motivators of patient-SDM alignment among Koda users and 2) develop a machine learning algorithm to perform SDM persona identification.
Participants will be 50 patient-SDM dyads. Eligible patients will be 50+ years of age, without dementia or blindness. SDMs will be 18+ years old. All participants should have an email address and ability to read and speak English. Following informed consent, patients will complete the Koda ACP platform and a survey about SDMs’ values and experiences. SDMs will complete a self-survey and perceived alignment surveys before and after reviewing the patient’s completed ACP. Survey data will be used to train theSDM persona detection algorithm. Dyads will also be invited to complete qualitative interviews, for further exploration of patient-SDM experiences.This pilot project aims to better understand patientSDM alignments and to develop an algorithm for identification of SDM personas, with the ultimate goal of facilitating increasingly high-quality ACP and goal-concordant care.

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