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What is Remedi EMR?

Remedi EMR features a user-friendly interface aimed at effectively capturing the dynamics of physician-patient interactions in accordance with the SOAP framework. It works seamlessly with Tablet PCs and supports voice commands for ease of use. Like its sibling product, Remedi PM, this system provides extensive assistance right from the moment a patient arrives at the clinic. The system facilitates data collection through medical assistants, addressing numerous elements such as chief complaints, history of present illness (HPI), past medical history (PMH), medication lists, family history, social history, reviews of systems, physical examinations, assessments, treatment strategies, prescription creation, as well as the management of orders and results. Each component can be personalized to align with the unique preferences of every user, thereby enhancing the user experience. Furthermore, it boasts features that cater to various medical specialties, ensuring comprehensive support. Key differentiators that elevate Remedi EMR include integrated ICD codes, customizable CPT codes, adherence to E&M guidelines as required by Medicare, a powerful document management system that negates the necessity for faxing, and a multitude of other features that optimize healthcare workflows. In essence, Remedi EMR is crafted to elevate efficiency in medical practices while maintaining an unwavering commitment to delivering exceptional patient care. This adaptability and focus on user needs underscore its value in the ever-evolving healthcare landscape.

What is Azure Text Analytics?

Harness natural language processing to gain valuable insights from unstructured text without requiring any machine learning knowledge, by utilizing an array of features from the Cognitive Services for Language. Elevate your understanding of customer emotions through sentiment analysis and identify key phrases and entities such as people, places, and organizations to uncover common themes and patterns. Use specialized, pretrained models to classify medical terminology specific to various fields. Evaluate text across multiple languages and reveal essential concepts within the content, which include key phrases and named entities that highlight individuals, events, and organizations. Delve into customer feedback regarding your brand while examining sentiments linked to specific topics through opinion mining techniques. Additionally, derive critical insights from unstructured clinical documents, including doctors' notes, electronic health records, and patient intake forms, by applying text analytics tailored for healthcare settings, ultimately enhancing patient care and informing decision-making processes. By integrating these advanced capabilities, organizations can stay ahead of trends and better meet the needs of their stakeholders.

Media

Media

Integrations Supported

Azure Marketplace
TAS Insight Engine
Unremot

Integrations Supported

Azure Marketplace
TAS Insight Engine
Unremot

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

Ecognize

Company Location

United States

Company Website

www.ecognize.com/REMR_overview.html

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

azure.microsoft.com/en-us/services/cognitive-services/text-analytics/

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

Categories and Features

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

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