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What is Lime Scribe?

Lime Scribe emerges as a specialized ambient AI scribe designed exclusively for home health and hospice organizations, providing a significant edge over conventional physician-office scribes such as Suki, Nuance DAX, and DeepScribe by addressing the specific needs related to OASIS-E2, HOPE, PDGM, and the workflows that post-acute care clinicians rely on. A standout aspect of Lime Scribe is its commitment to quality, as each chart is verified by a certified home health coder before it is uploaded to your electronic health record (EHR), ensuring that, while artificial intelligence adeptly captures visit details, a qualified expert meticulously reviews OASIS items, ICD-10 codes, and all relevant information, with this quality assurance being a standard feature rather than an additional expense. Key functionalities include: - Ambient AI that effortlessly documents OASIS-E2, HOPE, and visit notes during natural interactions - Expert verification of ICD-10 coding to guarantee compliance with PDGM and prepare for audits - Immediate quality assurance for OASIS that detects inaccuracies in Section GG and identifies gaps in social determinants of health (SDOH) - Automation of admissions intake, which efficiently processes referrals and verifies eligibility - Smooth integration with major EMR systems including HCHB, WellSky, MatrixCare, Axxess, DSL, Netsmart, and KanTime. Complying with HIPAA regulations and backed by signed Business Associate Agreements (BAAs), Lime Scribe has successfully managed over 30,000 charts each year and boasts an outstanding clinician rating of 4.9 stars. This positions it as an ideal solution for agencies eager to improve their documentation processes while ensuring exceptional accuracy and compliance standards are upheld. Agencies can trust Lime Scribe to enhance their operational efficiency, enabling clinicians to focus more on patient care rather than paperwork.

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

Lime Health

Date Founded

2025

Company Location

United States

Company Website

getlimeai.com

Company Facts

Organization Name

DeepScribe

Date Founded

2017

Company Location

United States

Company Website

www.deepscribe.ai/

Categories and Features

Home Health Care

Billing & Invoicing
Charting
Electronic Signature
Employee Tracking
Medication Database
Patient Intake
Scheduling
Time / Task Reporting

Medical Transcription

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

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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