Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
No
API Access
Has API
No
Screenshots View All
No images available
Integrations
Pieces Connect
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
Yes
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
Yes
iPad App
No
Android App
Yes
Windows
Yes
Mac
Yes
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
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
No
Charting
No
Compliance Tracking
No
E-Prescribing
No
E/M Coding
No
HIPAA Compliant
No
Handwriting Recognition
No
Integrated Telehealth
No
MIPS Certified
No
Meaningful Use Certified
No
ONC-ATCB Certified
No
Patient Portal
No
Self Service Portal
No
Voice Recognition
No
Product Features
Reference Management
Annotations / Notes
No
Bibliography Generation
No
Citation Generation
No
Document / Reference Import
No
Essay Checker
No
Personal Source Library
No
Plagiarism Check
No
Resource Database
No
Synchronization
No