Building Data Monetization from 0 to 1 in HealthTech

4 MINS

# Building Data Monetization from 0 to 1 in HealthTech

At CureBay, I was tasked with an ambitious goal: create a revenue stream from data that didn't exist. In a healthcare company focused on making healthcare equitable for underserved communities, the challenge was to monetize data ethically while staying true to our mission.

Understanding the Data Landscape

Before building anything, I spent weeks understanding what data we had, where it lived, and what stories it could tell.

Our data assets included:

Patient journey data across rural health centers

Healthcare utilization patterns in underserved areas

Pharmacy and medicine consumption trends

Disease prevalence and seasonal patterns The opportunity wasn't just in the data itself, but in the insights that could help the broader healthcare ecosystem.

Building the Framework

Creating a data monetization practice from scratch required thinking about three pillars simultaneously:

1. Collection & Quality

Standardizing data capture across touchpoints

Building data quality checks and validation

Ensuring privacy compliance and consent management **2. Analysis & Insights**

Creating reusable analytics frameworks

Building dashboards for internal and external consumption

Developing predictive models for healthcare outcomes **3. Commercialization**

Identifying potential data consumers (pharma companies, insurers, government bodies)

Creating data products with clear value propositions

Building partnerships and commercial agreements

Working with Government: The ABDM Journey

A pivotal moment was getting CureBay certified for Ayushman Bharat Digital Mission (ABDM). This required working closely with the National Health Authority to ensure our systems met government standards.

Key aspects of this journey:

Understanding regulatory requirements deeply

Building APIs that integrated with national health infrastructure

Ensuring data interoperability while maintaining security This certification opened doors to serve a larger population and integrate with the national healthcare ecosystem.

Results and Reflections

Within 18 months, we built a partner ecosystem that generated meaningful revenue through data-led services. More importantly, the insights we generated helped improve healthcare delivery for the communities we served.

What I learned:

Data monetization in healthcare must be mission-aligned

Privacy and consent are non-negotiable foundations

Government partnerships can be accelerators, not blockers

Start with one use case and expand from there Building 0 to 1 is never linear, but the principles of customer value, ethical practice, and iterative learning apply universally.

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Himanshu skipped presentations and built real AI products.

Himanshu Dhiman was part of the January 2025 cohort at Curious PM, alongside 13 other talented participants.