Artificial intelligence based technologies for improving patient appointment scheduling and inventory management
Summary
USPTO granted US Patent 12,597,511 B2 to CDW LLC covering AI-based technologies for patient appointment scheduling and inventory management. The patented system uses natural language processing to interpret verbal patient responses and queries a scheduling database to match appointments based on distance, date, service, and inventory thresholds. The patent includes 15 claims and names inventors Casey Bleeker and Nathan A. Cartwright.
What changed
USPTO issued Patent 12,597,511 B2 to CDW LLC on April 7, 2026, covering an AI system that uses natural language processing to handle patient appointment scheduling. The system receives verbal appointment requests via NLP, simultaneously transcribes and interprets intent, and queries a scheduling database against distance, date, service, and inventory thresholds to identify matching appointments. The patent's 15 claims establish enforceable intellectual property rights over this scheduling methodology.
Healthcare providers and technology companies developing AI-driven patient scheduling, telehealth intake, or contact-center automation solutions should review this patent for potential infringement risk. The grant reinforces CDW LLC's IP position in healthcare AI applications and may affect product development strategies for competing systems in clinical scheduling and inventory management.
What to do next
- Monitor for updates
- Review patent claims for potential infringement exposure
Archived snapshot
Apr 7, 2026GovPing captured this document from the original source. If the source has since changed or been removed, this is the text as it existed at that time.
Artificial intelligence based technologies for improving patient appointment scheduling and inventory management
Grant US12597511B2 Kind: B2 Apr 07, 2026
Assignee
CDW LLC
Inventors
Casey Bleeker, Nathan A. Cartwright
Abstract
Artificial intelligence (AI) based technologies for improving patient appointment scheduling and inventory management are disclosed herein. An example method includes receiving, at a server including a natural language processing (NLP) model, an appointment request from a user. The example method further includes initiating, based on the appointment request, a patient appointment data stream including verbal responses from the user regarding an appointment of the user. The example method further includes applying, while simultaneously receiving the patient appointment data stream, the NLP model to the verbal responses from the user to output (i) textual transcriptions and (ii) intent interpretations. The example method further includes querying a scheduling database to determine a matching appointment that satisfies a distance threshold, a date threshold, a service threshold, and an inventory threshold. The example method further includes causing a user device of the user to convey the matching appointment to the user.
CPC Classifications
G16H 40/20 G06F 16/2455 G06F 40/30 G06Q 10/1095 G10L 15/063 G10L 15/1815 G10L 15/22 G10L 15/30 G10L 2015/223 H04M 1/656 H04M 2201/40
Filing Date
2024-08-26
Application No.
18815343
Claims
15
Named provisions
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