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Description
Pieces Predict, previously known as Decision Sciences, is a cloud-centric software solution designed to enhance both clinical and operational value during a patient's healthcare journey. This platform leverages and analyzes both structured and unstructured data from your electronic medical record (EMR), generating accurate recommendations and notifying the care team in real time. When integrated with Pieces Connect, it offers a holistic approach to connected community health. Pieces Connect facilitates smooth referrals of discharged patients to community service organizations while also tracking their ongoing progress effectively. Additionally, Pieces Predict plays a crucial role in the continuous monitoring of patients as they receive care within clinical environments, ensuring they receive the best possible support throughout their recovery. This synergy between the two platforms ultimately promotes better health outcomes and more efficient care delivery.
Description
Recommendas is a robust and secure platform for managing recommendations and references, aimed at assisting professionals and organizations in the collection, organization, verification, preservation, and sharing of professional endorsements. By replacing traditional, informal methods such as emails, Word documents, and unstructured messages, it introduces a streamlined digital workflow that enhances control and efficiency.
The platform empowers organizations to generate structured recommendation requests that incorporate various types of queries, such as yes/no questions, ratings, evaluations, and open-text responses. Recommenders can conveniently submit their feedback via secure, one-time links, eliminating the need for account creation and simplifying the experience for both requesters and referees.
Once the recommendations are submitted, they are securely archived, ensuring immunity to silent alterations or overwriting. Recommendas also features a comprehensive version history, allowing any updates to be documented as new versions while keeping all prior submissions intact. This meticulous approach not only enhances the integrity of the recommendation process but also builds trust among users by guaranteeing that all contributions are accurately recorded and accessible when needed.
API Access
Has API
API Access
Has API
Screenshots View All
No images available
Integrations
Pieces Connect
Pricing Details
No price information available.
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
Pieces Technologies
Founded
2015
Country
United States
Website
piecestech.com/product/pieces-predict/
Vendor Details
Company Name
Recommendas
Founded
2024
Country
United States
Website
www.recommendas.com
Product 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
Product Features
Reference Management
Annotations / Notes
Bibliography Generation
Citation Generation
Document / Reference Import
Essay Checker
Personal Source Library
Plagiarism Check
Resource Database
Synchronization
Alternatives
Alternatives
No Alternatives