Author Archives: Stephanie Cornelissen

About Stephanie Cornelissen

Stephanie Cornelissen is a Technical Solutions Consultant with strong experience helping organizations navigate complex digital change. She works closely with teams to align business goals with practical, scalable technology solutions. With expertise in system architecture, integrations, and emerging technologies, she focuses on solving real-world problems through thoughtful execution. She enjoys working where technology meets business strategy and measurable growth.

Healthcare Data Privacy Software Development: A Guide

Healthcare software teams don't get to treat privacy as a backlog item anymore. The average cost of a healthcare data breach reached $10 million in 2024, the highest of any industry, and hacking incidents rose 239% since 2018, with ransomware …

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The Ultimate Guide to Scaling Healthcare SaaS Products

Growth creates a strange kind of stress in healthcare SaaS. The product is working, new customers are coming in, and the team finally has proof that the market cares. Then the second-order problems arrive. Response times start drifting. Integration requests …

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Ecommerce Scalability Consulting: A Growth Guide

Your revenue graph is moving up. Your storefront feels slower. Support tickets are getting angrier. Inventory counts don’t match what customers can buy. Marketing wants to launch another campaign, but engineering is already firefighting. That’s the point where growth stops …

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Digital Health Product Engineering Services: A CTO’s Guide

A healthtech roadmap usually looks clean on a pitch deck and messy the moment engineering starts. The product team wants rapid iteration. Clinical stakeholders want safer workflows. Legal wants auditability. Security wants controls in place before the first pilot. And …

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A Guide to Healthcare Data Platform Engineering

Healthcare data platform engineering is all about building a single, reliable digital backbone for a modern health system. It’s the behind-the-scenes work that tackles the massive problem of siloed, messy data and creates a single source of truth. In short, …

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