Average Ratings 3 Ratings
Average Ratings 0 Ratings
Description
DeepScribe’s AI-powered scribe captures the natural conversation between a clinician and patient and automatically writes medical documentation, allowing clinicians to focus on patient care instead of note-taking.
Through an easy-to-use mobile app, DeepScribe records the natural clinical encounter and transcribes it in real time. Our proprietary AI then extracts the medical information from the transcript, classifies it into a standard note, and then integrates that note directly into a clinician’s electronic health record system.
Unlike traditional scribes, dictation tools, or other solutions, the ambient nature of DeepScribe means it doesn’t intrude on the patient visit or disrupt the clinical workflow. Providers can simply talk to their patient like normal, then review their notes after the visit and sign-off in their EHR. DeepScribe handles documentation, charting, and even populates suggested diagnostic coding based on the information extracted from the visit.
With DeepScribe’s easy to use, efficient, and powerful AI scribe, clinicians can bring the joy of care back to medicine.
Description
Gain a comprehensive understanding of your clients through an intuitive interface that presents encounters, core service interactions, segments, claims, and billing statuses. Care Managers can effectively monitor advancements in addressing care gaps for members. These documents can be seamlessly linked to care plans, enhancing both tracking and reporting efficiency. Claims and documentation can be sent directly to the MAPP HHTS, supported by a top-tier MAPP synchronization process and continuous customer assistance. The system allows for the efficient generation of claims and CMA statements while automatically managing Health Home billing prerequisites. In cases where HML rate codes are modified, you can easily void and resubmit claims. Built-in HML logic ensures that HMLs are completed with the required number of core services, face-to-face encounters, and other pertinent criteria. Participate in roundtable discussions with fellow users to explore our product roadmap and the evolving requirements of Health Home. Our team is committed to regularly checking in with clients to cater to their specific needs and enhance their experience. This approach not only fosters better communication but also ensures that we are aligned with our customers' goals and expectations.
API Access
Has API
API Access
Has API
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
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
DeepScribe
Founded
2017
Country
United States
Website
www.deepscribe.ai/
Vendor Details
Company Name
Foothold Technology
Founded
2000
Country
United States
Website
footholdtechnology.com/care-management
Product 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