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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Clarafi is a pioneering electronic health record (EHR) and medical scribe platform powered by artificial intelligence that revolutionizes the way clinical documentation and chart management are handled. By utilizing sophisticated AI technology, it can decipher handwriting and interpret clinical content to produce structured patient notes, such as SOAP (Subjective, Objective, Assessment, Plan), in as little as 90 seconds, drastically cutting down on the manual labor required for charting and reducing the administrative workload. The platform efficiently captures and organizes vital information like problem lists, comprehensive medication histories, and reviews of systems from both existing documents and clinician inputs, thereby generating a cohesive, EHR-ready medical record that facilitates e-prescribing, coding, and clinical workflows with minimal typing or manual formatting. Clarafi’s AI not only automates mundane tasks, allowing for quicker chart completion, but also enables clinicians to devote more of their time to patient care instead of paperwork, all while integrating effortlessly into existing practice workflows. This innovative solution exemplifies how technology can enhance efficiency in healthcare settings, ultimately leading to improved patient outcomes and satisfaction.

Description

Doc-U-Aide stands out from all other CDI solutions on the market by being specifically crafted by CDI experts for their peers, with a singular aim of enhancing the quality and integrity of clinical documentation, ultimately leading to better reimbursements. In contrast to other providers who have merely adapted existing Encoders, EHRs, or consulting services to incorporate basic CDI workflows, our solution is uniquely built from the ground up to excel in one area: the integrity of clinical documentation. The user-friendly interface and adaptable workflow features of Doc-U-Aide facilitate an efficient chart review process for CDI staff. Many customers who have implemented Doc-U-Aide report an increase in their CDI nurses' productivity by over 20%. This boost in productivity can translate into millions of dollars in additional revenue for healthcare institutions. We stand behind our commitment with a guarantee of 100% return on investment within just three months of utilizing our solution, ensuring that our clients not only meet but exceed their financial goals. Ultimately, choosing Doc-U-Aide means investing in a future of improved clinical documentation and enhanced operational efficiency.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Care Director
EPIC HRMS
Evident Thrive EHR
Intergy EHR
MEDHOST EDIS
MEDITECH Expanse
NextGen Healthcare EHR
eClinicalWorks

Integrations

Care Director
EPIC HRMS
Evident Thrive EHR
Intergy EHR
MEDHOST EDIS
MEDITECH Expanse
NextGen Healthcare EHR
eClinicalWorks

Pricing Details

$99 per month
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

Clarafi

Country

United States

Website

www.clarafi.ai/

Vendor Details

Company Name

Saince

Founded

2002

Country

United States

Website

www.saince.com/cdi-solutiondoc-u-aide/

Product Features

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

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