Overview

PatientKeeper (now part of Commure) is a mobile-first clinician workflow platform that streamlines rounding, documentation, order entry and charge capture while integrating with major EHRs. It combines longstanding clinical and financial workflow modules with newer AI capabilities — including ambient scribing, AI summaries, autonomous coding and an AI “Co-Pilot” — to reduce documentation time, improve coding accuracy, and increase capture of billable charges.

Features and Capabilities

• Clinical & RCM workflows: Patient lists, CPOE & eRx, mobile clinical results, secure messaging, medication reconciliation, sign-out, and charge analytics — accessible on mobile and desktop to extend EHR value.
• Scribe: AI/ambient scribe that transcribes multi-speaker encounters (long sessions), generates structured notes (SOAP/progress formats), and supports over 60 languages to reduce provider documentation effort.
• Autonomous Coding: Automatically suggests CPT/ICD-10 codes, headers and quality measures from documentation to reduce manual billing work, identify missing charges, and help minimize claim denials. Reported improvements include materially increased billable capture and decreased manual charge effort.
• Co-Pilot / AI assist: Context-aware LLM-driven summaries and chat that surface key patient data (e.g., 12-hour summaries, sign-out assistance) so clinicians can retrieve answers and focus on decisions without manual searching.
• Integration & security: Built to integrate with major EHRs (Epic, Cerner, MEDITECH etc.) and enterprise billing systems while meeting healthcare security and privacy expectations. Designed to sit on top of existing hospital systems to aggregate patient data in one place.
• Mobile usability: Native mobile apps for iOS/Android supporting orders, charges, results review, and messaging so clinicians can work at bedside or on the go.
• Revenue & measurable impact: Deployed at scale inside health systems; the Commure/PatientKeeper stack is presented as improving revenue capture, reducing charting time, and increasing coding accuracy via explainable AI.