Research

Consumer behavior across the healthcare ecosystem

I study how people experience and navigate healthcare across human, organizational, informational, and technology-mediated contexts.

Healthcare as a consumer-behavior domain

My research examines healthcare as a broad consumer domain rather than a single type of service encounter. I am interested in how people experience and navigate healthcare across interactions with professionals, organizations, systems, information, digital tools, and emerging technologies.

This platform creates room to study patient experience, healthcare decision-making, digital health, AI-enabled health information, organizational environments, and public policy. These areas are connected by a shared interest in how consumers engage with an increasingly complex healthcare ecosystem.

Consumer behavior in healthcarePatient experienceHealthcare systemsDigital healthArtificial intelligenceHealthcare informationMarketing and public policy

Flagship program: Medical dismissal

Medical dismissal is a patient-perceived experience of not being adequately heard, believed, or taken seriously during a healthcare encounter.

The program treats medical dismissal as a distinct healthcare experience rather than a synonym for general dissatisfaction or every negative healthcare outcome. The research is positioned to contribute to consumer behavior, patient experience, healthcare quality, and public policy.

Why conceptual clarity matters: Clearer definitions can improve the quality of research, practice, and public discussion while avoiding conclusions that the available evidence cannot yet support.

Broad research objectives

01

Clarify the construct

Develop a conceptually bounded approach to studying patient-perceived medical dismissal.

02

Establish interdisciplinary relevance

Examine how clearer research on the experience can contribute to consumer research, patient experience, healthcare quality, and public policy.

Current stage

This is active doctoral research. Public materials intentionally omit unpublished instrument content and structure, theoretical mechanisms, hypotheses, sampling plans, and detailed study procedures.

Methods and methodological direction

Conceptual development

Establishing clear construct boundaries grounded in theory and evidence.

Empirical research

Selecting qualitative and quantitative methods appropriate to each research question.

Interdisciplinary translation

Connecting consumer research with healthcare, patient experience, digital health, and public policy.

Research partnership priorities

Complementary expertise and resources can strengthen this program without changing its consumer-research foundation. Priority connections include healthcare and health-services scholars, clinicians, patient-experience researchers, digital-health and technology researchers, public-policy scholars, measurement specialists, data partners, research sites, and funders interested in rigorous, socially meaningful research.

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