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What is Time Study RN?

In 2002, the Time Study RN was established as an element of the Robert Wood Johnson initiative called "Transforming Care at the Bedside" (TCAB), which arose from increasing worries that technological advancements, innovative unit designs, and evolving nursing processes were leading to a decline in the time nurses could spend with their patients. At the same time, healthcare institutions around the globe were motivated by the successful implementation of lean and Six Sigma methodologies that originated in the manufacturing industry. By utilizing work activities from a time study research project carried out at Clarion Health and published by the Institute of Medicine, RMC collaborated with the initial TCAB teams to pinpoint 71 unique work activities, categorizing them into seven groups for TCAB measurement. Additionally, RMC was instrumental in the creation and integration of essential software and tools that formed the backbone of the TCAB methodology for evaluating bedside time. This multifaceted strategy not only sought to improve patient care but also aimed to create a more streamlined and effective working environment for nurses, ultimately benefiting both staff and patients alike. The initiative represented a significant shift in how nursing care was approached, emphasizing the need for balance between efficiency and patient interaction.

What is Flax?

Flax presents a cutting-edge AI solution tailored for skilled nursing facilities, designed to turn burdensome paperwork into a revenue-generating asset by optimizing vital processes from referral handling to appeals management. By automating the often tedious documentation tasks, Flax empowers nursing staff to prioritize essential functions like admissions, intake, and billing, thereby boosting overall operational efficiency. During the admissions stage, Flax swiftly assesses referrals against specific facility guidelines, enabling teams to quickly spot ideal candidates while filtering out those who fall short of financial or clinical benchmarks. This innovative system adeptly pulls data from multiple sources, emphasizes important patient information, and allows admissions staff to respond to referrals in a matter of minutes. Additionally, in the intake phase, Flax streamlines the MDS form completion process by leveraging patient referrals alongside current clinical records, extracting vital PDPM-related information that frees up nurses to concentrate more on patient care instead of paperwork. Consequently, skilled nursing facilities can significantly enhance their operational performance and improve patient outcomes, making Flax an invaluable asset in the healthcare industry today. Moreover, the implementation of Flax not only fosters a more efficient workflow but also contributes to better resource allocation within these facilities.

Media

Media

Integrations Supported

MatrixCare
PointClickCare

Integrations Supported

MatrixCare
PointClickCare

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

Rapid Modeling Corporation

Date Founded

1994

Company Location

United States

Company Website

www.rapidmodeling.com

Company Facts

Organization Name

Flax

Date Founded

2025

Company Location

United States

Company Website

www.flax.ai/

Categories and Features

Hospital Management

Accounting Integration
Appointment Management
Appointment Scheduling
Bed Management
Billing & Invoicing
Claims Management
In-Patient Management
Inventory Management
Medical Billing
Out-Patient Management
Patient Records Management
Physician Management
Policy Management
Revenue Management

Categories and Features

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