AUTOMATED APPOINTMENT SCHEDULING CASE STUDY www.rsystems.com A leading US based healthcare provider enhanced patient satisfaction, improved overall efficiencies and turnaround times with 60% drop in no-show rate using R Systems’ AI-enabled solution. AI/MACHINE LEARNINGProblem Statement Client was spending a lot of resources and capital on the appointment scheduling process, so they wanted to automate the E2E process of Appointment Scheduling/Cancelling, Search for Physicians/Specialties and Reminders among others, to maximize eciencies while reducing their capital expenditure. Client needed an AI-based scheduling system with a cognitive chat bot which is engaging and responsive. Business Need Solution Approach Patients will request appointments through the mobile app AnaWrit

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