dramibhatt, Author at Dr. Ami Bhatt

Reducing Bias in Health Technology

Addressing how data, design, and deployment choices shape outcomes for women and underrepresented populations.

Centering community-based care models that reflect how people actually experience health, illness, and prevention.

Aligning innovation with evidence, oversight, and public trust across regulatory, industry, and global forums.

Ensuring emerging technologies reduce—not reinforce—bias, inequity, and unintended harm.

Insight and experience on how AI, software as a medical device, and digital diagnostics will be evaluated and governed.

Using modeling and real-world data to enable earlier detection, personalized prevention, and more proactive cardiovascular care.

Designing blended in-person and virtual care that fits clinical workflows, patient lives, and sustainable reimbursement models.

Lessons from building and scaling telecardiology programs that expand access without compromising quality or continuity.

How to assess safety, bias, usability, and outcomes once AI meets real patients, real clinicians, and real constraints.

What it takes to move from pilots to practice: workflow integration, governance, trust, and clinician readiness.

Designing systems where AI augments judgment, supports decision-making, and strengthens, not replaces, the clinician–patient relationship.

Translating AI capabilities into clinically meaningful use: what’s ready, what’s not, and how to evaluate impact beyond accuracy metrics.