Aiva Nurse Assistant is a smartphone app that serves as a personal assistant for hospital nurses, reducing their administrative burden while improving efficiency and wellbeing.  

The app allows nurses to use conversational voice or text to document to flowsheets, set reminders and interact with other systems, including dietary, patient experience, interpreter services, room controls, patient education and policies & procedures.  

Today, documentation takes up to 41% of a nurse's shift, detracting from direct patient interaction, increasing stress and contributing to burnout. The hassle of manual documentation contributes to incomplete charting, leading to uninformed care decisions and potential fines (e.g., for HAPIs when there's no documentation of patient repositioning).

Aiva Nurse Assistant provides the most natural voice charting experience -- tailored to nurses, not physicians. One Assistant client projected up to an 80% time savings for a high-frequency charting task like patient repositioning.  

Aiva also goes beyond charting to save nurses time across all of the systems they use day-in and day-out -- whether they're in the patient room or on the go.  

Conversational control should give nurses back at least an hour per shift away from workstations and multiple app interfaces -- improving their efficiency but also their wellbeing and job satisfaction.

Aiva is the virtual assistant for healthcare, using conversational control of 25+ inpatient systems to reduce nursing workload and improve patient experience.  

Our clients include Cedars-Sinai Medical Center, BayCare Health, Houston Methodist Hospital, Boston Children's Hospital, Jefferson Health and Moffitt Cancer Center.

Aiva Smart Room lets patients control lights, blinds, thermostats and TVs by giving voice commands to enterprise-managed Alexa devices. Making patients more independent improves satisfaction while freeing up nurses to focus on higher-value bedside care.

Aiva Assistant allows nurses and pharmacists to read and write to the EHR, set reminders, access policies & protocols and control patient room environments from anywhere in the hospital. Aiva's mission is to cut by 50% the time staff spend stuck in front of a computer screen.

AI to review all patient data, ensure diagnoses are not missed, and automating note-writing.

Regard uses proprietary algorithms to automatically diagnose and document conditions on behalf of inpatient providers. These automatically-generated notes save providers time, reduce coding queries, and have a dramatic impact to hospital finances.

Regard is an AI-powered clinical co-pilot that automatically diagnoses patients and writes notes for physicians. On average clinicians save 2-3 hours per day and each provider generates an additional $100,000 in revenue every year. Hospitals see a $3-6M revenue improvement from just their first department on Regard. Best of all, physicians love the software and it improves patient care.

• Control over non-EHR systems, including dietary, patient experience, patient education, room controls, interpreter services, clinical care & collaboration and policies & procedures.
• Reminders about nursing tasks.
• No need to return to the application to complete documentation.
• Short-form conversational input tailored to nurses' -- as opposed to physicians' -- needs.

Same as for EHR competition: 

• Control over non-EHR systems, including dietary, patient experience, patient education, room controls, interpreter services, clinical care & collaboration and policies & procedures.
• Reminders about nursing tasks.
• No need to return to the application to complete documentation.
• Short-form conversational input tailored to nurses' -- as opposed to physicians' -- needs.

Regard diagnoses automatically. The EHR supports overall health system goals and is the operating system for all functions, but Regard expands your care team using AI. Regard diagnoses, recommends treatments, and automates documentation to ensure patient safety, improve clinician quality of life, and supercharge CDI & rev cycle.

Regard drafts the note just like an AI resident before the clinician even sees the patient. By doing this upstream, we can reduce the burden on the clinician and supercharge downstream tools like clinical alerts, CAPD, and CDI.

Regard takes a holistic view of the patient to improve safety, reduce medical errors, suggest improvements to care, and ensure that the documentation is complete & accurate.