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What is eClinicalWorks?

Accessing a patient's medical records has become incredibly streamlined, made possible by the PRISMA health information search engine, which integrates data from various sources such as primary care physicians, specialists, clinics, urgent care facilities, and hospitals into a unified, searchable health timeline. Our Customer Success Stories illustrate the practical applications of our healthcare IT solutions, demonstrating how eClinicalWorks clients are successfully improving value-based care and enhancing healthcare outcomes. With a skilled workforce of 5,000 employees, eClinicalWorks is dedicated to progressing healthcare in partnership with our clients. More than 130,000 physicians in the U.S. and over 850,000 healthcare professionals globally rely on our EHR software for comprehensive clinical documentation and a range of solutions that include telehealth, population health management, patient engagement, and revenue cycle optimization. As an innovative privately owned company focused on quality, we strive to provide our clients with secure, cloud-based solutions that adapt to their changing requirements. This unwavering dedication to transforming healthcare is what motivates every facet of our business operations, ensuring we remain at the forefront of industry advancements. Each success story reinforces our mission to deliver exceptional value to healthcare providers and their patients alike.

What is Pieces Predict?

Pieces Predict, formerly known as Decision Sciences, is a cloud-based software solution aimed at improving both clinical and operational outcomes throughout a patient’s healthcare experience. This innovative platform effectively utilizes and assesses both structured and unstructured data from electronic medical records (EMR), producing precise recommendations and alerting the care team in real-time. When paired with Pieces Connect, it provides a comprehensive approach to integrated community health. Pieces Connect streamlines the referral process for discharged patients to community service organizations and efficiently monitors their ongoing progress. Furthermore, Pieces Predict is essential for the ongoing supervision of patients receiving care within clinical settings, guaranteeing they obtain optimal support throughout their recovery journey. The integration of these two platforms ultimately fosters enhanced health results and more streamlined care delivery, creating a more interconnected healthcare ecosystem. This collaborative approach not only benefits individual patients but also strengthens community healthcare resources overall.

Media

Media

Integrations Supported

3M M*Modal Fluency Direct
AGS AI Platform
Adonis
Arrendale Associates
Artera
Avalon Laboratory System
CloudApper EMR Link
Doc-U-Aide
DocSpera
DoctorConnect
Dragon Medical One
Elaborate
HealthArc
Infinx
Qvera Interface Engine
RapidClaims
Saykara
Solv
TeleRay
XpertCoding

Integrations Supported

3M M*Modal Fluency Direct
AGS AI Platform
Adonis
Arrendale Associates
Artera
Avalon Laboratory System
CloudApper EMR Link
Doc-U-Aide
DocSpera
DoctorConnect
Dragon Medical One
Elaborate
HealthArc
Infinx
Qvera Interface Engine
RapidClaims
Saykara
Solv
TeleRay
XpertCoding

API Availability

Has API

API Availability

Has API

Pricing Information

$499.00/month/user
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

eClinicalWorks

Date Founded

1999

Company Location

United States

Company Website

www.eclinicalworks.com

Company Facts

Organization Name

Pieces Technologies

Date Founded

2015

Company Location

United States

Company Website

piecestech.com/product/pieces-predict/

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 Billing

Claims Processing
Claims Scrubbing
Code & Charge Entry
Compliance Tracking
Customizable Dashboard
Dunning Management
Invoice History
Patient Eligibility Checks
Practice Management
Quotes/Estimates
Remittance Advice

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 Scheduling

Appointment Management
Billing & Invoicing
Drag & Drop
Facility Scheduling
Multi-Location
No-Show Tracking
On Call Scheduling
Patient Records
Patient Scheduling
Physician Management
Recurring Appointments
Self Service Portal
Staff Scheduling

Revenue Cycle Management

Accounts Receivable
Claims Management
Collections Management
EHR/EMR Integration
For Healthcare
ICD-10 Compliance
Insurance Verification
Medical Billing
Patient Portal
Patient Registration
Patient Scheduling
Payment Processing

Telemedicine

Appointment Reminders
Appointment Scheduling
Chat / Messaging
E-Prescribing
For Medical Purposes
HIPAA Compliant
Multi-Provider Practice
Online Forms
Patient Queue Management
Practice Management
Remote Treatment Plans
Teleradiology
Video Conferencing

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

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