ComCierge Patient vs Aiva Assistant

Comcierge by HatchMed eliminates nurse call alarm fatigue. Rather than having one red button for all of the patient’s needs, desires, and wants, Commcierge intelligently routes individual requests to specific members of the care staff, while keeping the nurses free to carry out their vital duties. A request for more pillows can go directly to a nursing assistant, while a call for more water will go straight to a member of foodservice, and the patient’s nurse is notified at the very end to let them know that every request has been completed. Commcierge is fully customizable to the hospital’s requirements - staff may either select their own response options, or allow Commcierge to suggest its own predetermined choices based on the patient’s state at admission. It is easy to integrate light, TV, blind and other patient controls directly into the application and options such as “Nurse Info” and “Test Results” are built directly into the interface. Built to work either in conjunction with existing nurse call systems or independently, Commcierge uses HL7 hospital grade communication standards to ensure that patient data never gets into the wrong hands. Contact HatchMed for more information, or to set up a private demo for your hospital.

Nurses, physicians and caregivers use natural language and conversational AI to interact with health records, trigger workflows, control smart rooms and play education – from anywhere. Control, Access, Communicate and Automate across a wide range of enterprise integrations built on a secure cloud platform. Allows staff to streamline daily tasks via a smart, responsive all-in-one personal assistant. Enables remote access for accomplishing many tasks that require physical trips or complex logins. Seamless access to Assistant via Single Sign-on and SAML. Aiva Assistant leverages integrations with your existing systems, including EHRs, Dietary, Clinical Communications, IoT and Patient Experience systems. Suddenly you can interact with all of these systems using natural language voice and text – improving utilization and satisfaction.