United States – October 17, 2026 -- ThinkAndor® Remote Patient Monitoring is now available in Epic Toolbox under the Remote Patient Monitoring category, giving health systems an AI-native option that bundles connected devices, automation, workflow integration and clinical staffing.
ThinkAndor RPM prioritizes patients instead of adding to alert queues
The platform continuously analyzes incoming patient data to flag potential clinical concerns and rank patients who may need intervention. Clinicians keep responsibility for clinical judgment but no longer act as the first manual filter for every reading. The pitch targets a known failure point in RPM: more devices produce more readings, alerts and queues for already stretched teams.
Device data flows into the EHR, which remains the system of record
Readings, alerts and longitudinal trends feed into the health system's EHR, so clinicians review monitoring information inside existing workflows. The intelligence layer runs across existing infrastructure rather than replacing it. Supported devices include blood pressure cuffs, scales, pulse oximeters and glucose monitors.
Nurses, care navigators and dietitians staff the program as a service
Integrated clinical services supply nurses, care navigators, dietitians and other resources for patient engagement, monitoring and care coordination, scaled to each health system's needs. Health systems therefore do not have to build internal teams around the software.
ThinkAndor® also supports cellular-enabled monitoring devices. These reduce dependence on home broadband, compatible smartphones and patients' technical skills, which can exclude rural and underserved populations.
Psynergy Health runs its CMS ACCESS model on ThinkAndor
Psynergy Health, an Andor Ventures company and CMS ACCESS participant, uses ThinkAndor® as the technology foundation for its ACCESS clinical model. As CMS advances the ACCESS Model, healthcare organizations face growing accountability for continuous engagement and outcomes in technology-supported chronic care. Health systems can adopt one integrated model instead of sourcing devices, monitoring software, AI, staffing, EHR integration and chronic-care workflows from separate vendors.