Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
FHIR is characterized as a 'RESTful' framework, aligning with the general industry interpretation of REST. However, it predominantly adheres to Level 2 of the REST Maturity Model within its core specification, while achieving full Level 3 compliance is feasible through the adoption of extensions. Being a standard, FHIR relies on the uniformity of resource structures and interfaces, which some may argue conflicts with REST principles; nonetheless, this standardization is crucial for maintaining consistent interoperability among various systems. Each "resource type" is associated with a defined set of interactions, allowing for the precise management of resources. Applications that assert their compliance with this framework refer to themselves as "RESTful FHIR," emphasizing their adherence to these standards. Furthermore, within this RESTful design, transactions are executed directly on the server resource via HTTP request and response, reinforcing the framework's integrity and functionality. This structured approach not only enhances interoperability but also streamlines the development of applications that utilize FHIR.
Description
Scribing.io serves as a clinical intelligence platform designed for ambient documentation and the automation of operational tasks. By leveraging multi-party speaker diarization and clinical natural language processing (NLP), it effectively transforms natural conversations into organized Markdown notes, such as SOAP, BIRP, DAP, and HPI formats. Additionally, the platform is capable of identifying and justifying ICD-10-CM and CPT G2211 codes by merging live audio with historical electronic health record (EHR) data through FHIR R4 standards.
To ensure interoperability, it employs a Chrome Extension that utilizes DOM-level mapping to seamlessly integrate data into the specific fields of restrictive electronic medical records (EMRs) like Kipu, Behave Health, and eCW, or alternatively, it offers a native bi-directional API synchronization for systems like Epic and Athenahealth.
Furthermore, the platform features a 24/7 AI Voice Agent responsible for managing appointment scheduling and triage, alongside a Virtual Assistant that activates clinical orders and patient follow-ups based on verbal commands. Security measures include 7-year write-once read-many (WORM) audit trails combined with SHA-256 hashing, ensuring compliance with stringent HIPAA, GDPR, and PIPEDA regulations. Notably, the system supports over ten languages, incorporating specialty-specific logic to enhance its usability across diverse medical practices. This extensive functionality positions Scribing.io as a comprehensive solution for improving clinical efficiency and documentation accuracy.
API Access
Has API
API Access
Has API
Screenshots View All
No images available
Integrations
Arintra
Art2link ESB
CaseManager DX
EHNOTE
EndoManager Imaging
Google Chrome
Health Studio
ImageGrid PACS
Innovatum
MedServe
Integrations
Arintra
Art2link ESB
CaseManager DX
EHNOTE
EndoManager Imaging
Google Chrome
Health Studio
ImageGrid PACS
Innovatum
MedServe
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$59/user/month
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
HL7
Founded
1987
Country
United States
Website
www.hl7.org/fhir/http.html
Vendor Details
Company Name
Scribing.io
Founded
2025
Country
United States
Website
www.scribing.io
Product Features
Product Features
Medical Transcription
Abbreviation Expansion
Archiving & Retention
Audio File Management
Audio Transmission
Customizable Macros
Transcription Reporting
Voice Capture
Voice Recognition