Improving Appointment Booking Flexibility in Blume
Improved an AI-powered booking platform for Blume users, resulting in a ~25% reduction in no-shows across clinics.
As the lead designer, I was responsible for driving the end-to-end redesign of the appointment booking flow across web and mobile. I identified critical user pain points, understood the problems, aligned with cross-functional teams, and delivered final, dev-ready designs.
Collaborated with a PM, CETs, engineers, support, and leadership to ship impactful improvements.
Web (Desktop + Responsive), Mobile App
December - January 2025 (2 months)
About Blume (RamSoft)
Blume is a patient-facing radiology platform by RamSoft. It allows users to book imaging appointments, view scan images / final reports, and securely share medical records.
It supports 2 types of appointment scheduling experiences:
🚩 The Problem: Imaging Facilities Struggled to Book Accurate Scan Procedure
This created confusion for schedulers:
Results at a glance
After redesigning, the improvements enhanced flexibility, efficiency, and accuracy for both patients and schedulers.
Design Goals & Solutions
📞 Reduce Follow-up Calls & Manual Coordination
In earlier version patients could only select general scan types (e.g., "CT Scan"), which often didn’t match what was actually needed. Schedulers had to call to clarify the exact procedure (e.g., "CT Wrist Left W/O Contrast – Scaphoid").
10-15 mins saved per booking
~15% increase in bookings using the flexible flow
✔️ Let Users Pick Exact Procedure Scan
Some Patients and Clinic staff knew the exact procedure scan but couldn’t select it.
Increased first-attempt bookings success rate
Fewer reschedules and follow-ups
~20% better slot utilization across facilities
🧑🏻💻 Streamline Scheduler Workflows
Even when a request came in through Blume, schedulers struggled to complete the booking accurately in the downstream OmegaAI platform.
Simplified the review and transfer process—helping schedulers access the request form, verify details, and finish booking in fewer clicks.
Faster, smoother scheduling in OmegaAI
Higher booking completion rate across facilities
🎊 The Impact: 4 new Healthcares adopted Blume within 3 months of new release
each bringing dozens of facilities online and expanding the platform's reach across regions. These orgs cited the redesigned booking experience as the key reason for onboarding.
Adoption & Reach
• We have reached 0 → 46,0000+ users in 9 months (since Q3 2024 launch) and we have 12,000 monthly active users - (increased user engagement).
• 450+ positive In-app reviews - Improved User Satisfaction
Overall Business Impact
revenue generated in 9 months
in no-shows across clinics
💭 Reflections & Learnings
Design for real-world ambiguity
Many users don’t have full information at booking time. Flexible entry points (like “Not Sure” options) can reduce friction and increase completion rates.
Internal users matter just as much
Schedulers are power users. Improving their tools unlocked smoother bookings, fewer errors, and stronger product adoption.
🙌 Final Note
If you’d like to walk through the design system, flows or decision making, I’d be happy to share more.
Thank you for reading!
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