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features
design
support

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Write a Review

Description

Clin'form is an adaptable and powerful electronic Clinical Outcome Assessment (eCOA) platform that aims to simplify clinical trials for both patients and research sites, improve data integrity, and speed up processes for research teams. Its versatility allows it to be used across various protocols and demographics, making it suitable for any type of questionnaire—including Patient-Reported Outcomes (PRO), Observer-Reported Outcomes (ObsRO), Clinician-Reported Outcomes (ClinRO), and diaries—while catering to individuals of all ages, from children to the elderly. The platform is designed to handle diverse population sizes, effectively managing studies that involve anywhere from a small group to over 10,000 participants spread across multiple regions worldwide. Clin'form integrates smoothly with other clinical systems to provide an efficient workflow, supporting various data collection methods such as dedicated tablets or smartphones, the patient's personal device, web access on any browser, and in-person interviews. Noteworthy features include an integrated tele-visit option to accommodate unexpected changes and patient engagement tools that promote high levels of compliance. Additionally, Clin'form's user-friendly interface ensures that both researchers and participants can easily navigate the platform, making the clinical trial experience more streamlined and effective.

Description

ClinicalWave.ai, built on AWS' cloud platform, is an integrated AI platform designed for life sciences companies. It uses cutting-edge NLP to extract valuable insights and automates the redaction and extraction sensitive data from clinical documents. It is made up of: 1. ClinRedact AI - Our Redaction Product that automatically identifies and removes sensitive information from clinical documents. This product saves time and ensures data integrity. 2. ClinExtract AI - The AI Data Extraction Product that uses NLP and Machine Learning to extract relevant data from clinical documents. This product provides valuable insights and streamlines workflows. 3. ClinDICOM AI - Experience the power and features of our DICOM data extraction product. It offers targeted redaction, customizable redaction rules, intelligent context analysis, audit trail compliance and a user friendly interface.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

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

No price information available.
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 No 
iPad App No 
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) Yes 
Online Support Yes 

Types of Training

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

Types of Training

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

Vendor Details

Company Name

Kayentis

Founded

2003

Country

France

Website

kayentis.com/clinform-ecoa-solution/

Vendor Details

Company Name

Cloudbyz

Founded

2014

Country

United States

Website

www.cloudbyz.com

Product Features

Clinical Trial Management

21 CFR Part 11 Compliance No 
Document Management No 
Electronic Data Capture No 
Enrollment Management No 
HIPAA Compliant No 
Monitoring No 
Patient Database No 
Recruiting Management No 
Scheduling No 
Study Planning No 

Product Features

Artificial Intelligence

Chatbot No 
For Healthcare No 
For Sales No 
For eCommerce No 
Image Recognition No 
Machine Learning No 
Multi-Language No 
Natural Language Processing No 
Predictive Analytics No 
Process/Workflow Automation No 
Rules-Based Automation No 
Virtual Personal Assistant (VPA) No 

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 

Alternatives

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