In the latest episode of Curve Ahead, I had the privilege of speaking with Dominique Gross, CEO of HART, a health IT company focused on data interoperability. Dominique’s journey from mechanical engineering to leading a fast-growing tech company highlights the intersection of AI, healthcare data management, and business strategy.
Key Challenges in Healthcare Data Management
- Lack of Standardization: Despite decades of effort, healthcare data remains fragmented due to different systems using incompatible standards.
- AI’s Role in Healthcare IT: AI can streamline data processing, but human oversight is still critical to ensure accuracy and avoid compliance risks.
- Scaling & Saying No: Many startups fall into the “Candyland” trap—chasing too many opportunities without focus. Dominique explains how HART restructured to double down on core competencies and scale effectively.
Why AI Can’t Fully Replace Human Decision-Making
AI in health IT is a powerful tool, but it requires strong governance and expert oversight. Some hospitals and health systems still rely on manual data entry and verification, showing that full automation isn’t feasible—yet.
Key Takeaways for Healthcare IT Leaders
- Know Your Core Competency: Focus on what your company does best and say no to distractions.
- AI is a Tool, Not a Replacement: Use AI for efficiency but ensure human oversight to maintain data integrity.
- Standardization is a Long Way Off: Businesses that can bridge data gaps will be critical players in healthcare innovation.
Dominique Gross’s journey showcases the intersection of AI, data, and business strategy in healthcare IT. Whether you’re a health tech entrepreneur, product manager, or investor, this conversation offers key insights into scaling a business in a highly regulated industry.