14+ yrs
in healthcare product, SaaS platforms, data products, and AI-enabled workflows.
Healthcare AI · Product Leadership
Jigger ShahHealthcare AI & Product Leader
14+ years across healthcare SaaS, EHR/RCM, claims and denials, payer-provider workflows, life sciences, pharma, CRO operations, clinical trial intelligence, data platforms, and AI/ML intelligence products — with hands-on GenAI, LLM/RAG, and agentic healthcare AI product work from strategy through launch, adoption, governance, and measurable outcomes.
- Healthcare SaaS
- EHR/RCM
- Claims & Denials
- Payer Workflows
- Life Sciences
- Pharma
- CRO
- Clinical Trial Intelligence
- AI/ML
- Data Platforms
- Responsible AI
Selected Impact
Outcomes that matter
$10M+
AI/ML clinical trial intelligence platform across life sciences/CRO operations and 8+ integrated data sources.
150K+
providers supported through healthcare SaaS platform capabilities.
GenAI
Hands-on portfolio project applying LLM/RAG, policy intelligence, explainable findings, and human-in-the-loop governance to healthcare denial prevention.
Product Leadership
How I lead product
Healthcare Workflow Intelligence
Product strategy across complex healthcare workflows including RCM, claims, payer connectivity, interoperability, patient engagement, EHR, provider workflows, life sciences operations, clinical trial operations, reporting workflows, and decision-support use cases.
Clinical Trial Intelligence & Data Platforms
AI/ML and data product leadership across life sciences, pharma, CRO operations, clinical trial feasibility, site and country intelligence, operational KPIs, data integration, governed data products, and trusted analytics.
Operational Outcomes & Adoption
Products tied to workflow efficiency, adoption growth, first-pass claim improvement, reporting trust, value realization, and measurable operational impact across healthcare and life sciences environments.
Responsible AI & Governance
Human-in-the-loop review, explainable findings, auditability, access controls, validation workflows, model-output trust, and executive alignment for regulated healthcare, life sciences, and AI product environments.
Featured Project
Denial Prevention Copilot
AI-powered claims review and denial prevention for healthcare revenue cycle teams.
Denial Prevention Copilot is a hands-on healthcare AI portfolio project that applies deterministic validation, CMS coverage intelligence, LLM/RAG-style policy reasoning, explainable findings, and human-in-the-loop governance to pre-submission claim review. The system reviews synthetic claims, identifies denial risk, cites Medicare-derived policy evidence, and supports human final decision-making through an auditable workflow.
Built using public data and synthetic claims only — no PHI.
NPI Validation
NCCI Validation
MUE Validation
ICD-10 Validation
HCPCS Validation
Coverage Intelligence Agent
Coding Intelligence Agent
Explainable Findings
Human-in-the-loop Review
Audit Trail
About
About Jigger
I'm a healthcare AI and product leader who builds data, workflow, and intelligence platforms that turn complex healthcare operations into scalable, trusted, measurable products.
I started close to real healthcare workflows — implementation, support, billing, claims, and reporting — then grew into product ownership across RCM, payer connectivity, analytics, and healthcare SaaS platforms. More recently, my work has expanded into life sciences and pharma, CRO operations through AI/ML clinical trial intelligence platforms, governed data products, responsible AI product strategy, and hands-on GenAI/LLM/RAG healthcare product prototyping.
I lead by connecting product strategy to operational reality: define the right market and workflow problem, build the business case, align executive and cross-functional stakeholders, translate complexity into clear product direction, and measure whether the product improves adoption, efficiency, trust, governance, and business outcomes.
Contact
Let's Connect
Open to healthcare AI, RCM, data platform, and product leadership conversations. Feel free to email me, connect on LinkedIn, or schedule a time to connect.