Cracking the code: Lessons from 15 years of digital health IPOs for the era of AI
Tamen Jadad-Garcia, Alejandro R. Jadad

TL;DR
This study analyzes how billing codes at IPO influence the long-term financial success of digital health companies, highlighting the importance of reimbursement factors in the evolving AI-driven health sector.
Contribution
It provides empirical evidence that billing codes at IPO significantly correlate with better financial performance and market growth in digital health companies.
Findings
Companies with billing codes at IPO are more likely to have positive growth.
Billing codes are associated with higher market capitalization increases.
Companies without billing codes are more prone to market decline.
Abstract
Introduction: As digital health evolves, identifying factors that drive success is crucial. This study examines how reimbursement billing codes affect the long-term financial performance of digital health companies on U.S. stock markets, addressing the question: What separates the winners from the rest? Methods: We analyzed digital health companies that went public on U.S. stock exchanges between 2010 and 2021, offering products or services aimed at improving personal health or disease management within the U.S. market. A search using Google and existing IPO lists identified eligible companies. They were categorized based on the presence or absence of billing codes at the time of their initial public offering (IPO). Key performance indicators, including Compound Annual Growth Rate (CAGR), relative performance to benchmark indices, and market capitalization change, were compared using…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsBiomedical and Engineering Education
