Ratings and Reviews 0 Ratings
Ratings and Reviews 0 Ratings
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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.
What is PhoenixEHS?
Introducing the revolutionary Electronic Health System (EHS) that transforms workflows to elevate your capability in delivering outstanding care! With PhoenixEHS™, your practice is always accessible, ensuring you can connect with your patients anytime, anywhere. Specifically designed for a variety of healthcare providers—including physicians, free clinics, community health centers, Federally Qualified Health Centers (FQHC), and hospitals—this cutting-edge EHR module enables you to boost your patient volume weekly while enhancing care quality and minimizing the time spent on data management. Take advantage of flexible scheduling, smart charting, and accurate reporting that optimize your office processes. You can easily manage appointments, oversee patient schedules, and view records from any mobile device. Our centralized, user-friendly, customizable, and secure platform operates in the cloud, alleviating worries about servers, backups, or system failures. By choosing this innovative solution, you embrace a future in healthcare that emphasizes efficiency, superior patient care, and the ability to adapt to evolving needs. Experience how much more you can achieve when technology supports your mission of health and wellness!
Integrations Supported
Pieces Connect
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided
Free Version
Free Trial Offered?
Pricing Information
Pricing not provided
Free Version
Free Trial Offered?
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
Pieces Technologies
Date Founded
2015
Company Location
United States
Company Website
piecestech.com/product/pieces-predict/
Company Facts
Organization Name
SW Healthcare Solutions
Date Founded
1999
Company Location
United States
Company Website
phoenixehs.net
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
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