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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Evaluate reopening strategies to guarantee optimal staffing, PPE, and additional resources are in place. Forecast patient numbers for each hospital or unit within a flexible timeframe. Accurately monitor and predict bed availability. Anticipate emergency department and post-anesthesia care unit holds over varying timeframes. Capture real-time data to anticipate capacity for each unit and service. Reduce the number of canceled surgeries by providing early alerts about significant increases in patient census. Analyze and forecast off-service placements effectively. Predict and manage patient discharges efficiently. The fundamental type of analytics serves to distill extensive data into smaller, more practical insights. Descriptive analytics aims to provide an overview of past events, while diagnostic analytics delves deeper to uncover the reasons behind those events. Conventional management engineering methods are generally sufficient for performing this level of analysis; however, predictive analytics represents a more advanced approach that helps organizations to proactively address future challenges. This progression from descriptive to diagnostic, and finally to predictive analytics, enables healthcare facilities to enhance their operational efficiency and improve patient care outcomes.

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.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Pieces Connect No 

Integrations

Pieces Connect Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based No 
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 No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support No 

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 No 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

FutureFlowRx

Country

United States

Website

futureflowrx.com

Vendor Details

Company Name

Pieces Technologies

Founded

2015

Country

United States

Website

piecestech.com/product/pieces-predict/

Product Features

Patient Management

Admissions Management No 
Bed Management No 
Discharge Management No 
Historical Reporting No 
Patient Flow Management No 
Patient Location Tracking No 
Patient Monitoring No 
Real Time Reporting No 
Waiting Time Tracking No 

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 

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