The Clinical Friction Ledger: Should Every Healthcare AI Tool Remove More Work Than It Creates?
The Clinical Friction Ledger: Should Every AI Feature Remove More Work Than It Creates? One question I keep coming back to is this: How can a healthcare organization determine whether an AI tool is actually reducing work? I propose a simple working framework—the Clinical Friction Ledger. On one side, record the friction removed: documentation time, unnecessary clicks, repeated data entry, handoffs, and waiting. On the other side, record the friction added: verification time, new alerts, exception handling, training, and work quietly transferred to another person or shift. An AI model can look impressive in a demonstration while making the overall care process harder. Before an AI pilot is scaled, both sides of this ledger should be examined. If the friction added outweighs the friction removed—or if the burden is simply shifted to someone else—the productivity claim is incomplete. The real measure of success is not only what the AI can do. It is whether the people closest to care experience less friction because of it. What would you put on each side of the Clinical Friction Ledger?How are you improving workflow visibility across healthcare operations?
One challenge I keep seeing across healthcare organisations is that teams often have the right systems, but not the right visibility. For example, procurement, HR, finance and operational teams may each use different business applications. Individually they work well, but it's still difficult to answer simple questions like: Where is this approval? Who is responsible for the next step? Why has this request been delayed? We've been looking at using Microsoft Dynamics 365, Power Automate and the Power Platform to create connected workflows instead of relying on emails and manual follow-ups. The biggest improvement hasn't just been automation—it's giving operational teams a single view of how work is progressing. I'm interested to hear from others in the Healthcare & Life Sciences community: What has been your biggest challenge in improving workflow visibility? Have you used Dynamics 365 or Power Platform to solve it? Which business process delivered the quickest value when you automated it? We've recently explored this topic in more detail, including practical examples of improving workflow visibility in healthcare: 🔗 https://www.ultralinkit.co.uk/blog/dynamics-365-healthcare-workflow-visibility/ I'd love to hear your experiences and different approaches.Why Connected Healthcare Systems Matter More Than Ever
Hello everyone, Across many healthcare organisations, digital transformation is well underway. New applications are being introduced, cloud adoption is increasing, and AI is becoming part of everyday conversations. However, one challenge continues to appear across many projects: disconnected operational workflows. It's common to find patient communication, scheduling, referrals, reporting and operational processes spread across multiple systems. While each application may perform its role effectively, the lack of integration often results in duplicated information, limited visibility and increased administrative effort. From the projects we've been involved in, we've found that successful digital transformation isn't only about implementing new technology. It's about creating connected systems that allow information to move securely and efficiently between teams. I'd be interested in hearing how others are approaching this challenge. Some discussion points: - What are the biggest barriers to connected healthcare systems today? - How are you improving interoperability across existing platforms? - Has Microsoft Cloud for Healthcare or Dynamics 365 helped simplify operational workflows? - Which integrations have delivered the greatest value in your organisation? We've also shared our perspective on https://www.ultralinkit.co.uk/dynamics-365-healthcare/ here: Looking forward to hearing different experiences and perspectives from the community.
