JS.
AVAILABLE FOR HEALTHCARE & AI CONSULTING

Hi, I'm
Dr Sakshi Jain.

Building trustworthy AI for healthcare through clinical governance, evidence, and product strategy.

Clinician-turned-digital health leader with 11+ years helping healthcare platforms build safe, accurate, and scalable digital health experiences reaching over 100M users.

Get in TouchView Projects
Dr Sakshi Jain profile photo

Director

Medical Affairs @ Tata 1mg

100M+

User Health Reach

BELS

Certified Editor

Google

Cloud AI Clinical Leader

Recent Collaborations, Brands & Integrations
Google Cloud AI
Microsoft Health
SSamsung Health
EElsevier Publishing
Tata 1mg
BBELS Certification
Google Cloud AI
Microsoft Health
SSamsung Health
EElsevier Publishing
Tata 1mg
BBELS Certification
Projects

Featured Work

Selected case studies demonstrating how I turn clinical expertise into scalable, safe digital health systems.

Clinical AI LLM Safety ValidatorLIVE
statusEvaluating...
hallucination_checkScanning...
TRUTH: 99.4%

Clinical AI LLM Safety Validator

Built evaluation frameworks that benchmark and audit medical outputs from LLMs before they reach patients — protecting 100M+ users across partnerships with Google Cloud AI.

LLM SafetyGovernance
Hover to Flip →
Architecture Diagram
Evidence
↓
Medical Review
↓
LLM
↓
Governance
// SYSTEM FLOWCase Study →
Content-as-a-Product Engine
clinical_ontology_root
├──drug_profile_v2
└──active_ingredients
└──diagnostic_mapping
TAXONOMY DEPTH: 4

Content-as-a-Product Engine

Migrated 1M+ unstructured clinical content units into structured, API-ready taxonomies — pioneering the "content-as-product" model and cutting manual review latency by 40%.

TaxonomyMLR Review
Case Study
Strategic Partnerships Program
Clinical AI Hub
Google Cloud
Microsoft Health
Samsung Health
Elsevier
INTEGRATIONS: ACTIVE

Strategic Partnerships Program

Led cross-industry partnership initiatives spanning clinical content, AI governance, drug data and interactions, and medical publishing integrations — bridging Tata 1mg's platform with global tech and publishing leaders.

PartnershipsAI Governance
Case Study
Show More Projects
Interactive • 2-minute experience

Experience Clinical AI Governance

See how an AI-generated medical answer is reviewed, corrected, and validated before it reaches a patient.

Launch AI Governance Lab
Expertise

Why Work With Me?

Backed by experience, driven by purpose.

Clinical AI Governance

Designing governance frameworks that ensure AI-generated health information is clinically safe before it reaches patients.

"Reducing hallucination risk before patient-facing deployment."

Structured Medical Knowledge

Built scalable medical taxonomies, structured content systems, and AI-ready knowledge models powering millions of healthcare interactions.

"Structuring unstructured clinical data into API-driven schemas."

Google Cloud AIBELS Editorial StandardsSchema.org TaxonomyMLR Compliance

Cross-functional Leadership

Bridging clinicians, engineers, product managers, legal teams, SEO specialists, and business stakeholders to build trusted healthcare products.

"Unifying clinical trust and high-speed product execution."

Evidence-first Thinking

Every recommendation starts with clinical evidence, scientific validation, and regulatory rigor—not assumptions.

Trusted at Scale

Helping build digital health systems reaching 100M+ users while maintaining clinical integrity across every touchpoint.

Proven scale & impact

Clinical Projects+25 Completed
User Impact Reach+100M Active
My Approach
GovernanceClinical Validation

I help health platforms and pharma partners build the trust layer between clinical evidence and the patient, whether that's an AI system, a content taxonomy, or a search strategy. The goal is always the same: safe, accurate, and genuinely useful health information at scale.

Medical AccuracyGEO Strategy
Mindset & Style

Behind the Screens

A glimpse into my mindset, philosophy, and approach.

Who am I?

I'm a clinician who moved into digital health leadership — I spent years treating patients before I started building the systems that keep AI-generated health information safe for millions of them.

My Philosophy

Good health content earns trust the same way good medicine does: through accuracy, evidence, and care for the person on the other end of it.

My Distinct Edge

I bridge clinical expertise and AI development to construct robust evaluation layers for consumer health products.

Frequently Asked Questions

Common Queries

It's the set of frameworks, checks, and standards that make sure AI-generated health content is medically accurate, safe, and compliant before it ever reaches a patient. My work covers everything from reducing hallucination risk in LLM outputs to defining AI-readiness standards for drug information and diagnostic tools.
BELS (Board of Editors in the Life Sciences) certification verifies rigorous competency in editing scientific and medical content. It's a formal credential that backs the accuracy and quality standards I apply to health content at scale.
I trained as a dental surgeon (BDS) and later earned an MS in Medical Sciences from the University of Mississippi Medical Center, where I researched titanium implant biomaterials and published three peer-reviewed papers. That clinical and research foundation is what grounds my work in AI governance today.
I've led strategic partnership projects with Google, Microsoft, Samsung Health, and Elsevier — spanning clinical content, AI governance, drug data and interactions, and medical publishing integrations, alongside my core work at Tata 1mg.

Building Healthcare AI?

Whether you're developing an AI assistant, launching a digital health product, or scaling trusted medical content, I'd love to help build the clinical layer behind it.

Available for advisory, healthcare AI strategy, speaking, and clinical governance consulting.