Althea Kiosk vs Clinical Note Exchange

Althea Kiosk allows practices to boost their productivity by speeding up the check-in process. With Althea Kiosk, patients can directly contribute to elements of their chart from the moment they enter the waiting room. Patients can update their insurance, add to their medication list, pay their bills, and much more. All patient provided data is subject to approval/rejection from the practice.

Clinical Note Exchange enhances Microsoft’s Dragon Copilot by embedding its powerful AI-driven documentation capabilities directly into your electronic health record (EHR) system. This advanced integration streamlines clinical workflows—automating schedule retrieval, enabling real-time ambient documentation, and allowing providers to push AI-generated notes directly into the EHR with a single click. By combining Microsoft’s proven conversational and generative AI with Clinically Speaking’s deep EHR expertise, Clinical Note Exchange empowers clinicians to focus more on patient care and less on administrative tasks—saving time, reducing burnout, and improving documentation quality. Key Features: 1. Automated Schedule Retrieval: Providers can automatically access their daily patient schedule from the EHR within the mobile application, ensuring a streamlined workflow without manual data entry. 2. Effortless Clinical Content Syncing: AI-generated clinical documentation from Dragon Copilot can be reviewed and instantly pushed back into the EHR, reducing clicks and administrative overhead. 3. Seamless EHR Integration: Built with interoperability in mind, this solution connects with leading EHR systems to ensure a smooth and secure data exchange. 4. Secure and Compliant: Powered by the Microsoft Cloud for Healthcare, this integration upholds the highest standards of security, compliance, and data protection. By extending Dragon Copilot’s capabilities, Clinical Note Exchange enables healthcare providers to focus on patient care while ensuring clinical documentation is effortlessly managed within the EHR.