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What is ScribeHealth?

ScribeHealth employs cutting-edge AI technology to function as a medical scribe, attentively capturing conversations between patients and clinicians, while transcribing and categorizing clinical notes in real-time with minimal input needed from healthcare professionals. This groundbreaking solution demonstrates impressive accuracy, learns and evolves through user feedback, allowing most physicians to make only a few quick edits instead of drafting notes from scratch. It integrates smoothly with a variety of existing EHR/EMR systems such as Epic, Cerner, AllScripts, and Jane via secure APIs, while also adhering to HL7/FHIR standards to ensure that note synchronization fits effortlessly into the everyday workflow of clinicians. With strong security measures in place, including bank-level encryption, automatic deletion of audio files after transcription, and strict compliance with HIPAA regulations, patient confidentiality is rigorously safeguarded. Moreover, ScribeHealth offers additional features like session analytics, speaker recognition, and improved context comprehension for more effective extraction of symptoms and assessments, thus elevating the overall efficiency of clinical documentation. By enhancing the documentation process, this technology allows healthcare providers to devote more time to patient care instead of getting bogged down by administrative responsibilities, ultimately leading to improved outcomes for patients and providers alike. Consequently, ScribeHealth not only increases productivity but also fosters a more focused and attentive healthcare environment.

What is HL7 FHIR?

FHIR is described as a 'RESTful' framework, which corresponds with the broader industry understanding of REST principles. However, it mainly operates at Level 2 of the REST Maturity Model in its fundamental specifications, while full Level 3 compliance can be achieved through the integration of extensions. As a standardized framework, FHIR depends on the consistency of resource structures and interfaces, which some critics might argue is at odds with REST's foundational concepts; nevertheless, this standardization is essential for ensuring effective interoperability among diverse systems. Each distinct "resource type" comes with a specific set of interactions, enabling meticulous resource management. Applications that claim to comply with this framework identify as "RESTful FHIR," highlighting their commitment to these established standards. Moreover, within this RESTful architecture, transactions are conducted directly on server resources through HTTP requests and responses, reinforcing the framework's functionality and integrity. This organized methodology not only boosts interoperability but also simplifies the development process for applications leveraging FHIR, ultimately leading to more efficient healthcare solutions. Additionally, the clarity provided by FHIR's structured approach helps developers focus on creating robust applications that can easily integrate with existing health information systems.

Media

Media

Integrations Supported

Centricity RIS-IC
CureMD
Docplanner
EHNOTE
Innovatum
InputHealth
MEDITECH Expanse
NexGen
OAuth
OpenMRS
Prophesee Metavision
RioMed
TM3
Vesalius3D
WriteUpp
Zedmed
athenaClinicals
eCase
eClinicalWorks
iCare

Integrations Supported

Centricity RIS-IC
CureMD
Docplanner
EHNOTE
Innovatum
InputHealth
MEDITECH Expanse
NexGen
OAuth
OpenMRS
Prophesee Metavision
RioMed
TM3
Vesalius3D
WriteUpp
Zedmed
athenaClinicals
eCase
eClinicalWorks
iCare

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

ScribeHealth

Date Founded

2023

Company Location

United States

Company Website

www.scribehealth.ai/

Company Facts

Organization Name

HL7

Date Founded

1987

Company Location

United States

Company Website

www.hl7.org/fhir/http.html

Categories and Features

Medical Transcription

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

Categories and Features

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