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Description
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Product Capabilities
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EHR integrations
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Company details
Jump to:
Categories
Solutions
Description
Compatibility Level
Clients
Product Capabilities
Use cases
EHR integrations
Client types
Awards
Differentiators
Health equity
Keywords
Media
Company details
Aiva Nurse Assistant
Aiva Nurse Assistant

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Categories

Solutions

Description

Product Description:

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.

About Aiva Health:

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.

Product Description:

DeepScribe’s AI scribe automates medical documentation for doctors. Powered by the largest clinical dataset in healthcare, DeepScribe ambiently captures patient visits as they happen and then writes complete, billable documentation directly within a clinician’s electronic health record system. From small private practices to large healthcare organizations, DeepScribe is helping clinicians of all kinds reduce burnout, improve patient care, and increase revenue.

About DeepScribe:

Trusted by hundreds of clinicians and trained on the largest clinical dataset in healthcare, DeepScribe is the most widely adopted ambient AI medical scribe in the world.

DeepScribe allows clinicians to ambiently capture patient visits in real time. Powered by proprietary AI technology trained on millions of real patient visits, DeepScribe automatically extracts relevant medical information from these encounters and classifies it into standardized medical notes directly within a clinician’s EHR.

DeepScribe’s powerful AI solution enables clinical organizations of any size to focus on delivering exceptional care while saving time, reducing burnout, and increasing revenue and reimbursement.

Compatibility level

Select which hospital or health system you work at and see a personalized compatibility level.

Clients

Select which hospital or health system you work at and see the client list

Product Capabilities

Aiva Nurse Assistant's AI carries context into every conversation, enabling more efficient communication and execution of tasks.

Aiva Nurse Assistant integrates with all types of inpatient systems, including the EHR, patient experience platforms, clinical care & collaboration apps, building management systems, patient education, dietary, PBX, interpreter services and policies & procedures.

Aiva Nurse Assistant is HIPAA-compliant and enforces strict privacy measures. Aiva also enables clients to run their own instances of our model, allowing more local control where desired.

Aiva Nurse Assistant utilizes Large Language Models (LLMs), including GPT4, to enable natural conversational commands in both voice and text.

The Aiva platform is built for smooth expansion of interaction volume, features and integrations.

Aiva Nurse Assistant can run on different LLM models, so clients don't have to place a bet on a particular model or company.

Use Cases

Description:

Aiva Assistant enables a large and growing set of use cases -- all designed to reduce nurses administrative burden.

  • Pull up current patient list
  • Reassign to a new or other patient
  • Pull up vitals for a patient
  • Document to the patient flowsheet
  • Retrieve patient schedules
  • Set task reminders
  • Retrieve meal order status
  • Place meal orders for a patient
  • Translate In-app (non-clinical)
  • Connect to Interpreter via audio/video
  • Broadcast messages into the patient room (if it contains an Alexa device)  
  • Call a patient’s room (if it contains an Alexa device)  
  • Message another staff member on their Clinical App while in the patient room or outside
  • Digitize Nurses Brain for Handoffs
  • Control Smart Room devices (TV, lights, blinds and thermostat)
Pediatric use cases:

Similar use-cases for pediatrics.

Users:

Nurses and other staff who carry provisioned smartphones.

Description:

None provided

Pediatric use cases:

None provided

Users:

None provided

EHR Integrations

Integrations:

Acute care EMR, Patient portal, ADT

EMR Integration & Relevant Hardware:

Recommended, but not required

EMRs Supported:

Epic, Cerner

Hardware Compatibility:

Mobile / Tablet (native app), Other

Integrations:

None provided

EMR Integration & Relevant Hardware:

Recommended, but not required

EMRs Supported:

Allscripts, NextGen, eClinicalWorks, Other, Athenahealth, Self-developed, Epic, athena

Hardware Compatibility:

Desktop, Mobile / Tablet (native app)

Client Types

Awards

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Differentiators

Differentiators vs EHR Functionality:
  • 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.
Differentiators vs Competitors:

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.
Differentiators vs EHR Functionality:

None provided

Differentiators vs Competitors:

Trusted by hundreds of clinicians across multiple specialties, DeepScribe is trained on the largest clinical dataset in healthcare, allowing for higher clinical accuracy. From small private practices to large healthcare organizations, our accuracy and ease of use leads to lower physician burnout, higher patient satisfaction, and a higher return on investment.

Health Equity

Keywords

Images

No images provided

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Videos

1 of 1

Aiva Nurse Assistant Demo

1 of 2

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DeepScribe Turned Me Into The Doctor I Always Wanted To Be.mp4

Downloads

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Conversational Charting for Nurses
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DeepScribe Outperforms GPT-4 by 32% on AI Medical Scribing.pdf

Alternatives

Company Details

Founded in 2016

Founded in 2017

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