Perspectives

Ask any operating partner relying on AI in private equity portfolio monitoring for real-time performance visibility, and they will show you a dashboard. Look at the data feeding it, and you will find numbers that are six weeks old assembled from a spreadsheet the CFO emailed on the last day of the prior month, mapped by hand to a template the fund created three years ago.

Most CDSS implementations attribute high override rates to alert fatigue or change management failures. Both explanations are correct as symptoms and wrong as diagnoses. Alert fatigue is a signal quality problem. When 92.7% of alerts in a system are not clinically appropriate, [3] no amount of UX improvement or clinician training recovers trust.

Custom medical imaging software development is the process of building a health system's imaging infrastructure, AI integration layer, and clinical data architecture to its own specifications, rather than operating inside a PACS vendor's proprietary platform. The result is a system the health system owns, controls, and can extend without vendor permission.