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Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

We assist healthcare professionals throughout Africa in efficiently collecting, organizing, and analyzing patient health information. Our electronic medical records software enables a cost-effective approach to the acquisition, storage, transfer, and examination of clinical data. By utilizing our system, healthcare providers can enhance their service delivery, minimize lengthy waiting times, and conserve the resources typically required for manual charge entries. This allows for more informed decision-making and improved health service delivery, ultimately enhancing the patient experience. Additionally, it boosts accountability and accuracy in billing while reducing instances of lost charges. Our software integrates clinical decision support features that can identify potential safety issues, leading to improved patient outcomes. Chart Synergy EHR is capable of checking for drug interactions, allergies, and other potential issues, alerting physicians when any risks are detected. Furthermore, users can securely manage appointments, access patient charts, and initiate new orders seamlessly from their smartphones or tablets, ensuring a more streamlined healthcare process. With these innovative tools, we are committed to transforming healthcare delivery across the continent.

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.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
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 No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

Novadge

Founded

2012

Country

Nigeria

Website

www.chartsynergy.com

Vendor Details

Company Name

RAAPID INC

Founded

2022

Country

United States

Website

www.raapidinc.com

Product Features

Electronic Medical Records (EMR)

Appointment Management Yes 
Charting Yes 
Compliance Tracking Yes 
E-Prescribing Yes 
E/M Coding Yes 
HIPAA Compliant Yes 
Handwriting Recognition No 
Integrated Telehealth No 
MIPS Certified No 
Meaningful Use Certified No 
ONC-ATCB Certified No 
Patient Portal Yes 
Self Service Portal Yes 
Voice Recognition No 

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 

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