RFI for Ambulatory Online Patient Scheduling Solutions

Location:

Missouri, United States

Posted on:

Jan 16, 2026

Deadline:

Feb 20, 2026

Summary:

Seeking information on online patient scheduling solutions for over 50 outpatient clinics in Missouri, focusing on self-scheduling, automation, and analytics.

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A Missouri healthcare agency is seeking information from vendors regarding ambulatory online patient scheduling solutions to support over 50 outpatient clinics, including both primary and specialty care settings. The solution should enhance patient self-scheduling capabilities via web and mobile platforms, improve operational efficiency, and integrate seamlessly with existing enterprise clinical and revenue systems.

Vendors are requested to detail core scheduling capabilities such as real-time provider availability, multi-location and multi-provider scheduling, enforcement of new versus established patient rules, appointment type logic, patient-initiated cancellations and rescheduling, centralized staff scheduling views, family scheduling options, and mechanisms to restrict scheduling for certain patients as needed. Additional focal areas include workflow automation—such as automated confirmations, reminders, waitlist management, intake forms, eligibility checks, referral-based scheduling, telehealth support, and real-time staff alerts.

Respondents should also outline the scope of reporting, analytics, and outcome monitoring provided by their solution, covering metrics like appointment utilization, no-show rates, waitlist conversions, patient adoption of self-scheduling, front desk efficiency, and detailed user workflow analytics. Vendors are to indicate for each listed capability whether it is available today, configurable, planned, or not supported, ensuring a comprehensive overview of system functionality.

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Submit your next proposal, within 48 hours or less

Stay ahead with the latest advancement in proposal automation.

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Submit your next proposal, within 48 hours or less

Stay ahead with the latest advancement in proposal automation.