NIKITA BATHEJA

NIKITA BATHEJANIKITA BATHEJANIKITA BATHEJA

NIKITA BATHEJA

NIKITA BATHEJANIKITA BATHEJANIKITA BATHEJA

Designing healthcare products that improve workflow efficiency

Designing healthcare products that improve workflow efficiencyDesigning healthcare products that improve workflow efficiencyDesigning healthcare products that improve workflow efficiency

Product design strategist with 10+ yrs of experience in building enterprise-grade healthcare products.

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WHAT I DO

I design systems, not just screens.

Most products fail not because they are badly designed, but because they do not fit how real teams actually work.


I focus on understanding operational complexity, especially across healthcare and enterprise workflow-heavy systems, and translating it into clear product experiences that improve throughput, reduce revenue leakage, and streamline workflows.


My work spans healthcare products, revenue cycle management workflows, AI-assisted decision workflows, operational dashboards and multi-stakeholder enterprise tools.

Let’s build better systems

Founder at Mindwise, available for contract product design work in healthcare and enterprise systems.

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CORE STRENGTHS

What I bring to product teams

  • Product thinking first, UI second 
  • Focus on adoption, throughput, and revenue efficiency
  • Deep understanding of complex operational workflows 
  • Strong UX logic for enterprise systems 
  • Experience working with AI + data science teams 
  • Ability to translate messy requirements into structured systems 


case studies

Follow-up Workflow System

Healthcare AI Control Panel

Healthcare AI Control Panel

Follow-up workflow system that reads clinical reports to identify required patient follow-ups and automates reminders through SMS and email notifications.


Redesigned to replace fragmented workflows across multiple portals with a unified system for care coordination and patient engagement.

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Healthcare AI Control Panel

Healthcare AI Control Panel

Healthcare AI Control Panel

Interactive control system designed from scratch to manage AI confidence thresholds in healthcare workflows and control automation behavior across the system.


Users can adjust thresholds to define how much work is automated versus routed for review, with real-time visibility into productivity, accuracy, and ROI compared to full-time employee effort.

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Medical Coding AI System

Healthcare AI Control Panel

Medical Coding AI System

End-to-end medical coding platform designed and built from scratch over five years, enabling coders to assign and validate codes for patient encounters using an AI-driven confidence system.


High-confidence cases are automatically coded by AI, while low-confidence cases are routed to human coders for review and correction.

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About Nikita Batheja

Experience

Product designer and strategist focused on building healthcare and enterprise systems that improve operational efficiency, increase throughput, and reduce revenue leakage.


Currently founder at Mindwise, a product design and engineering studio working with clients to design and build healthcare and enterprise software systems, including workflow automation, AI-assisted decision tools, and operational platforms.


Previously founded Sinjan Solutions, where healthcare and enterprise clients were supported through end-to-end product design and development, translating complex operational requirements into structured digital systems.


Experience spans healthcare products, revenue cycle management systems, medical coding platforms, claim automation workflows, AI-assisted decision systems, and enterprise dashboards used across multiple stakeholders. Work includes both building systems from scratch and redesigning fragmented workflows into unified product experiences.


Background also includes roles in product, business analysis, and enterprise software development at Accenture and GGK Tech (now Innova Solutions), providing a strong foundation in understanding how operational systems and user workflows connect.

Education

MBA, IMT Ghaziabad
Bachelor of Engineering in Computer Science, Mumbai University

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