Megan Salwei

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Research Assistant Professor

Vanderbilt University Medical Center
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About

Megan Salwei is a Research Assistant Professor at Vanderbilt University Medical Center in the United States. Her research focuses on the implementation and evaluation of artificial intelligence in clinical settings, patient-centered cancer care, and the usability of medical devices. Recent publications include studies on the safety and usability of healthcare tools, decision-making processes in cancer treatment, and user experiences with clinical decision support systems.

Recent Grants

Grant: Close

COMputerized PAtient-centered Collaborative Technology (COMPACT) to Support Personalized Decision Making in Breast Cancer

Open Date: 2022-09-30

Close Date: 2026-09-29

Articles (16)

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2025

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2025

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2025

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2024

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2024

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2023

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2023

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2023

Delivering high-quality, patient-centered cancer care remains a challenge. Both the National Academy of Medicine and the American Society of Clinical Oncology recommend shared decision making to improve patient-centered care, but widespread adoption of shared decision making into clinical care has been limited. Shared decision making is a process in which a patient and the patient’s health-care professional weigh the risks and benefits of different options and come to a joint decision on the best course of action for that patient on the basis of their values, preferences, and goals for care. Patients who engage in shared decision making report higher quality of care, whereas patients who are less involved in these decisions have statistically significantly higher decisional regret and are less satisfied. Decision aids can improve shared decision making—for example, by eliciting patient values and preferences that can then be shared with clinicians and by providing patients with information that may influence their decisions. However, integrating decision aids into the workflows of routine care is challenging. In this commentary, we explore 3 workflow-related barriers to shared decision making: the who, when, and how of decision aid implementation in clinical practice. We introduce readers to human factors engineering and demonstrate its potential value to decision aid design through a case study of breast cancer surgical treatment decision making. By better employing the methods and principles of human factors engineering, we can improve decision aid integration, shared decision making, and ultimately patient-centered cancer outcomes.

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2023

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2022

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2022

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2022

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2022

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2021

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2021

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2021

Collaborators (5)

Andrew Boyd

Associate Professor

University of Chicago

UNITED STATES
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Alexis Eastman

Clinical Associate Professor

University of Wisconsin School of Medicine and Public Health

UNITED STATES
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Michael Pulia

Associate Professor

University of Wisconsin-Madison

UNITED STATES
View details

Jessica Ancker

Vanderbilt University Medical Center

UNITED STATES
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Matthew B Weinger

Vanderbilt University Medical Center

UNITED STATES
View details
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