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Sample project showcasing a healthcare referral tracking system designed to organize client referrals, follow-up dates, appointment status, priority levels, and workflow progress. The layout includes a dashboard view, automatic follow-up tracking, and clear status categories to help teams manage referrals efficiently and reduce missed follow-ups.
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OCR extracts business names, formation dates, and addresses from uploaded documents automatically. But users still need to trust what the system found before anything gets submitted.
We designed the confirmation flow around editable fields that surface extracted data clearly. Users review what the system found and correct where needed, rather than typing everything from scratch. The design choice was to make the AI output feel transparent and controllable.
The design choice was to make the AI output feel transparent and controllable. The result is a flow that reduces data entry to the minimum while keeping users fully in control of what gets submitted.
The editable-fields approach is smart, letting people verify OCR output instead of trusting it blindly probably saves you a ton of support tickets down the line.
MediKit helps clinics, hospitals, and healthcare operators monitor visit growth, consultation completion, appointment efficiency, doctor availability, patient throughput, and satisfaction scores from one unified dashboard.
