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What is annalise.ai?

By reviewing up to three images for each case, which include both frontal and lateral views, medical professionals can significantly improve their diagnostic accuracy by linking insights gained from different perspectives. The development of Annalise CXR’s comprehensive ontology tree was informed by clinical experience, aiming to compile an exhaustive list of findings that are vital and advantageous for healthcare providers. Crafted by clinicians who understand the importance of a seamless workflow, Annalise CXR features a versatile user interface that integrates effortlessly with existing PACS and RIS systems. Physicians can begin utilizing Annalise CXR in under ten minutes, thereby greatly minimizing the learning curve associated with new technologies. Additionally, the confidence bar feature provides insights into the likelihood of a finding and the uncertainty surrounding the AI model, allowing clinicians to interpret the results with enhanced certainty. This cutting-edge methodology not only simplifies the diagnostic workflow but also contributes to improved clinical decision-making processes, ultimately leading to better patient outcomes. As a result, healthcare professionals are equipped with powerful tools to deliver more accurate diagnoses efficiently.

What is DeepScribe?

DeepScribe utilizes cutting-edge AI technology to effortlessly document conversations between healthcare providers and patients, ensuring that medical notes are generated automatically, which allows clinicians to dedicate more time to patient interaction rather than paperwork. The user-friendly mobile application captures these clinical discussions and transcribes them in real time, while the proprietary AI processes the transcript to sort the medical details into a standardized note, seamlessly integrating it into the clinician's electronic health record system. In contrast to conventional scribes, dictation systems, or other methodologies, DeepScribe's ambient functionality ensures that the documentation process does not interfere with the patient experience or disrupt the overall clinical workflow. Healthcare professionals can engage with their patients as they normally would, later reviewing and approving the notes within their EHR after the consultation. Furthermore, DeepScribe not only takes care of documentation and charting but also suggests appropriate diagnostic codes based on the extracted information from the visit. By leveraging DeepScribe’s intuitive, effective, and advanced AI scribe, clinicians are empowered to rediscover the fulfillment of providing care in medicine, ultimately enhancing the patient experience. This innovative approach transforms the way healthcare professionals manage their documentation responsibilities.

Media

Media

Integrations Supported

DrChrono
Elation Health
Practice Fusion
athenaOne

Integrations Supported

DrChrono
Elation Health
Practice Fusion
athenaOne

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

annalise.ai

Date Founded

2019

Company Location

Australia

Company Website

annalise.ai/

Company Facts

Organization Name

DeepScribe

Date Founded

2017

Company Location

United States

Company Website

www.deepscribe.ai/

Categories and Features

Medical Imaging

Automated Routing
Comparison View
Compliance Management
Data Import / Export
Diagnostic Reporting
Image Analytics
Treatment Planning
Workflow Management

Categories and Features

Electronic Medical Records (EMR)

Appointment Management
Charting
Compliance Tracking
E-Prescribing
E/M Coding
HIPAA Compliant
Handwriting Recognition
Integrated Telehealth
MIPS Certified
Meaningful Use Certified
ONC-ATCB Certified
Patient Portal
Self Service Portal
Voice Recognition

Medical Practice Management

Claims Management
E-Prescribing
EMR / EHR
HIPAA Compliant
Insurance Eligibility Verification
Inventory Management
Multi-Office
Multi-Physician
Patient Billing
Patient Portal
Patient Records
Patient Registration
Patient Scheduling
Physician Scheduling

Medical Transcription

Abbreviation Expansion
Archiving & Retention
Audio File Management
Audio Transmission
Customizable Macros
Transcription Reporting
Voice Capture
Voice Recognition

Natural Language Processing

Co-Reference Resolution
In-Database Text Analytics
Named Entity Recognition
Natural Language Generation (NLG)
Open Source Integrations
Parsing
Part-of-Speech Tagging
Sentence Segmentation
Stemming/Lemmatization
Tokenization

Speech Recognition

Audio Capture
Automatic Form Fill
Automatic Transcription
Call Analysis
Concatenated Speech
Continuous Speech
Customizable Macros
Multi-Languages
Specialty Vocabularies
Speech-to-Text Analysis
Variable Frequency
Voice Recognition

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