Opmed.ai

Opmed.ai is an AI-assisted operating theatre scheduling platform that balances surgeon preferences with resource availability in real time.

How to use Opmed.ai

1. Sign up at opmed.ai and connect your hospital or clinic calendar.
2. Upload current theatre allocations and staff rosters through the import wizard.
3. Set priorities for each surgeon, procedure type, and resource from the settings panel.
4. Let the algorithm propose an optimised schedule, then drag-and-drop any last tweaks in the visual timeline.
5. Publish the final plan to notify surgeons and nursing teams instantly by email or SMS.
6. Track utilisation and turnover metrics on the dashboard to refine future sessions.

What we found after a week with Opmed.ai

I spent five consecutive days running our orthopaedic list through Opmed.ai to see whether it could relieve the usual spreadsheet shuffle. Setup took thirty minutes, after which the system started suggesting slot arrangements that shaved an average of 42 minutes from each theatre day. While testing, I noted response times of under two seconds for new calculations and appreciated the clean layout that kept distraction low.

Advantages

• Time saved: Suggested schedules trimmed change-over gaps without compromising staffing rules, freeing one extra case on two of the trial days.
• Clear interface: Colour-coded blocks and clash warnings made it obvious where conflicts would appear before they happened.
• Responsive support: A chat window inside the app connected me to an engineer who answered a query about custom procedure codes within ten minutes.
• Data-driven decisions: Post-session reports highlighted underused anaesthetic time, giving our service manager practical evidence for allocating another list next quarter.

Drawbacks

• Initial data load: The import wizard handled CSV files only, so I had to convert our existing XML feed manually.
• Limited integrations: At present the tool links directly with just three electronic health record providers, meaning some clinics must rely on periodic exports.
• Pricing tier jump: Moving from the starter plan to the professional package doubles the monthly cost, which feels steep for smaller sites.
• Forecasting in beta: Case-length predictions slipped by more than fifteen minutes on two laparoscopic lists, requiring manual adjustment.

For clinics looking to make scheduling less chaotic, Opmed.ai already feels like a helpful colleague, and I’m keen to see where the roadmap takes it next.