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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

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

Screenshots View All

No images available

Integrations

Pieces Connect Yes 

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 

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