Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
We have been pioneers in the development of clinical NLP platforms and their applications for over 15 years. This has resulted in high precision and accuracy. Our core competency is to interpret unstructured notes accurately and at scale. Tested on billions of real clinical notes and documents. AI that can explain with context, reasoning, and evidence for output. NLP with medical knowledge infused with 4M+ entities and 50M+ relationships. Innovative Machine Learning (ML), & Deep Learning(DL) models were used to build this NLP. Use a foundation of rich ontologies and clinician-specific terminologies. We can understand, interpret, and extract context & significance from the inconsistent, inconsistent, and non-standard data contained in medical documents. Our clinical domain experts continually infuse knowledge graphs to our NLP by mapping all clinical entities and their relationship between them. We have more than 4,000,000 entities and 50,000,000 relationships.
Description
Scribeable is an innovative clinical documentation tool designed specifically for healthcare professionals. It captures patient encounters and formulates structured notes, subsequently undergoing a verification process that prompts clinicians to clarify any uncertain information. Clinicians are responsible for reviewing and authorizing each note prior to its application. Additionally, the platform computes clinical scores based on the documented data, proposes diagnostic and billing codes along with relevant evidence, and creates after-visit summaries for patients. The application comes with customizable specialty templates that can be tailored to meet the specific formats required by different clinicians. Accessible via a web-based platform as well as iPhone and iPad applications, Scribeable also offers a browser extension that facilitates the seamless insertion of notes into web-based electronic health records (EHRs). With its integration into eClinicalWorks, Scribeable can interpret chart context and archive finalized notes, while other EHR systems utilize the extension for note insertion or manual copy-pasting. This versatile tool is designed for a range of healthcare providers, including physicians, nurse practitioners, physician assistants, and medical practices, ensuring efficient and accurate documentation in clinical settings. As healthcare continues to evolve, Scribeable aims to enhance the efficiency of clinical documentation, ultimately improving patient care.
API Access
Has API
Yes
API Access
Has API
Yes
Screenshots View All
No images available
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
$39/month
Lite is $39/month for 100 notes. Pro is $79/month, month-to-month, with unlimited notes. The 14-day Pro trial is limited to 150 notes and requires a card; cancel before the trial ends to avoid a charge. Verified residents, fellows, and medical students can receive Pro free for one year, limited to 150 notes/month.
Free Trial
Yes
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
Yes
iPad App
Yes
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
RAAPID INC
Founded
2022
Country
United States
Website
www.raapidinc.com
Vendor Details
Company Name
Scribeable
Founded
2025
Country
United States
Website
scribeable.ai
Product Features
Natural Language Processing
Co-Reference Resolution
No
In-Database Text Analytics
No
Named Entity Recognition
No
Natural Language Generation (NLG)
No
Open Source Integrations
No
Parsing
No
Part-of-Speech Tagging
No
Sentence Segmentation
No
Stemming/Lemmatization
No
Tokenization
No