
RXV1.1 is a next-generation software platform developed by CashFlow Solutions, LLC to streamline the remote pharmacist verification process in highly regulated dispensary environments.
RXV1.1 bridges the gap between in-person dispensing operations and remote oversight, enabling licensed pharmacists to verify prescriptions and products with confidence — anywhere, anytime.
RXV1.1 encrypts all patient and product data in transit and at rest, ensuring complete compliance with federal and state PHI protection standards. Secure logins, audit logs, and access controls guarantee that only authorized personnel can view or verify protected information.
The RXV1.1 app enables on-site technicians to securely capture and upload prescription images to a controlled environment. Files are automatically organized by date and location, simplifying remote review and recordkeeping.
Pharmacists can review, verify, or deny uploaded prescriptions from any approved device. Real-time alerts and event tracking ensure every verification is logged, timestamped, and easily retrievable for compliance audits.
A clean, intuitive dashboard allows users to monitor daily workflows — from pending verifications to completed tasks — with built-in restore and audit capabilities for denied or corrected entries.
RXV1.1 brings together automation, compliance, and human oversight in one unified ecosystem — helping dispensaries, pharmacists, and healthcare operators maintain operational integrity without compromising patient safety or regulatory compliance.

RXV1.1 was engineered specifically for cannabis dispensaries utilizing pharmacy-based operations requiring remote pharmacist oversight. Every component — from image capture to verification logging — was designed to meet stringent compliance requirements under Connecticut regulations and similar state frameworks.
Copyright © 2025 CashFlow Solutions, LLC - All Rights Reserved.
We use cookies to analyze website traffic and optimize your website experience. By accepting our use of cookies, your data will be aggregated with all other user data.