Key takeaways Go-live isn’t the finish line. It’s the start of a 90-day window where your clinical data is still converting, your billing team is running two systems, and the person at your EHR vendor who guided your implementation is about to hand you off to someone new. On top…
When your practice decides to move to a new EHR (electronic health records), one of the first questions that comes up is “what about the data?” You’ve got years of patient records, appointment history, clinical notes, and billing information living inside your current system, and all of it needs to…
An HR analyst at a 3,000-person hospital system used Microsoft Copilot to look up employee benefits. Routine query, nothing unusual. The response came back with patient treatment notes pulled from a SharePoint folder that had been sitting there for four years with broad permissions that nobody had ever cleaned up. …
MIT researchers looked at 150 interviews, a 350-person survey, and data from 300 public AI deployments. Their conclusion: 95 percent of organizations deploying generative AI are seeing zero measurable return on their investment. Not low returns. Zero. RAND Corporation ran a separate meta-analysis across 65 documented enterprise AI initiatives and…
The insource-versus-outsource decision in healthcare IT sounds like it should be simple. Either you build a team internally to handle your technology, or you hire an outside partner to do it. One costs more in salary and overhead. The other costs more in contracts and less control. Run the math,…
A healthcare data warehouse is a centralized system that pulls data from your EHR, billing platform, scheduling tools, and other operational systems into a single environment built for reporting and analysis. Instead of logging into four different platforms to answer one question, you query one data source that has already…
