How Historical Data is Shaping the Future of AI in Healthcare
Jim Jacobs | President & CEO, MediQuant | December 2, 2025
As artificial intelligence (AI) continues to gain traction in healthcare, the focus is shifting from whether to adopt AI to how it can solve real-world challenges. At the heart of successful AI implementation lies an often-overlooked resource: historical data. More than just a compliance requirement, legacy systems hold decades of patient histories and clinical transactions that can fuel innovation when properly unlocked. By prioritizing use cases over technology, healthcare leaders can turn historical data into a strategic asset, driving meaningful outcomes across the industry. Read the article on Chief Healthcare Executive.
More Thought-Leadership
How to Extract Data from Cerner: A 3-Step Primer for Archival Success
Data archiving represents an important way for healthcare systems and hospitals to move from costly and fragile legacy IT systems to create a central data repository that can be readily accessed. Some systems, however, are easier to archive than others. For example,...
DataArk Pro Tips: Using Worklists, ROI Templates, and Posting Multiple Transactions
Tip 1: Using Worklists in DataArk DataArk Patient Accounting for Patient Management (Physician Billing) and Institutional Worklist is an addition to DataArk4 Functionality. It allows Patient Accounting Managers with an Active PA implementation to leverage worklist...
Shoring Up Vulnerabilities in Your Tech Stack
By: Shawn Fergason, Senior Vice President of Information Technology and Technology Services, MediQuant Secure healthcare data archiving is essential to the protection of confidential patient information and is a critical component in your cybersecurity program. In...
Contact Us Today








