Clinical Rounds Efficiency with an AI Chatbot at a 350-Bed Hospital
About the Client
The client is a 350-bed general hospital in the Middle East, serving both public and private patients. With over 50 attending physicians and rotating nursing teams, morning rounds were crucial—but increasingly burdened by fragmented notes, documentation delays, and missed task follow-ups.
The Challenge
Daily rounds are the heartbeat of clinical care. But in this hospital, they had become time-consuming and error-prone. Doctors relied on printed summaries or had to log into different systems to gather lab results, vitals, and care notes. Nurses spent time preparing handover sheets manually. Miscommunications occasionally led to delays in orders or duplicated tasks.
The client needed a simple solution that didn’t require learning a new interface—something the team could use on-the-go, even between patient rooms.
The Solution: Smart Rounds Chatbot
Inginit implemented a secure AI-powered chatbot, accessible via tablet or mobile, integrated with the hospital’s EHR, task manager, and shift planner.
The chatbot, nicknamed “MediBot” internally, offered the following:
- Context-Aware Patient Summaries: Clinicians could simply ask, “Show me the next patient on my list,” or “What’s new for Room 304 since yesterday?”
- Morning Checklist Automation: Pre-round questions like pending labs, vitals, or consent forms were answered instantly.
- Secure Task Assignment: Doctors could delegate tasks to nurses during rounds by typing or tapping a shortcut (e.g., “Schedule X-ray for Ms. Khalid today”)—no need to return to a workstation.
- Real-Time Handover Notes: The chatbot logged handover summaries in structured format, reducing missed communications between shifts.
Results
Within three weeks of deployment on a single floor, doctors reported they were completing rounds 20–30% faster. Nurses spent less time printing summaries and more time preparing patient needs. Task follow-ups improved, with fewer manual entry errors in the EHR. The medical director noted that inter-shift communication quality improved measurably, especially during weekend rotations.
“We didn’t need a full app overhaul. Just a smart companion to help us stay focused on the patient.”
— Lead Consultant, Internal Medicine
Technology Used
- LLM-based Chat Engine: Secure, on-prem deployment
- Integration: EHR, task system, and staff scheduling via API
- Access Control: Role-based permissions (e.g., nurses only see tasks assigned to their shift)
- Interface: Mobile + tablet via secure web portal
What Made It Work
- No new logins: The chatbot used the hospital’s existing SSO setup
- Low training curve: The team used pre-set queries with “pill buttons” to reduce typing
- Privacy-first: All messages remained within the hospital network, compliant with regional data rules
