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Intelligent InSites Helps Healthcare Organizations Identify Hard-Dollar Impact of RFID and RTLS Solutions - The RTLS+ Value Analysis provides hospitals a detailed roadmap to enterprise RTLS success - IntelligentInSites.com
Intelligent InSites Helps Healthcare Organizations Identify Hard-Dollar Impact of RFID and RTLS Solutions

 

NewswireToday - /newswire/ - Fargo, ND, United States, 2011/11/22 - The RTLS+ Value Analysis provides hospitals a detailed roadmap to enterprise RTLS success - IntelligentInSites.com.

   
 
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Intelligent InSites Inc., the leading provider of enterprise RTLS software helping hospitals improve patient satisfaction and operational performance while supporting multiple RFID and RTLS technologies, has announced a new consulting service aimed to help healthcare organizations identify the impact of Real-Time Location Systems (RTLS) and related technologies on their core processes and workflows.

“Progressive healthcare organizations have recognized that Real-Time Location Systems enable them to improve and optimize their core processes—bringing fundamental change and improvement to both operational efficiency and patient outcomes,” said Marcus Ruark, Vice President of Marketing at Intelligent InSites. “We are excited to share our expertise with other hospitals who are seeking an answer on how RTLS solutions can impact their organization.”

The goal of the RTLS+ Value Analysis is to understand the specific challenges facing the organization and put a quantifiable value on how RFID and RTLS technologies might help each specific department or workflow. Through deep interviews and extensive data analysis, Intelligent InSites’ healthcare solution consultants discover high-impact areas across the healthcare organization for improved processes, improved care, reduced costs, and increased patient and staff satisfaction. Example areas for improvement include “right-sized” equipment inventories based on optimized equipment utilization, reduced rental expenses based on real-time equipment tracking and improved rentals management, and increased value-added time for nursing staff. At the conclusion of the Value Analysis project, the RTLS+ Value Impact Report provides concrete opportunities for improvement, hard-dollar impacts, and a recommended roadmap to implement RTLS solutions and RTLS+ enabled process improvements.

According to Mary Jagim, RN, BSN, CEN, FAEN and Chief Nursing Officer at Intelligent InSites,“At the end of the Value Analysis process, a hospital will have a detailed, custom-built analysis of how RTLS technologies, combined with synergistic process changes, can help deliver better care while lowering costs.”

Intelligent InSites has already helped many leading acute care facilities, including Butler Health System, MedStar, Spectrum Health, and Texas Health Resources to realize meaningful and sustainable improvements to their operations and outcomes.

Healthcare providers interested in receiving more information about the RTLS+ Value Analysis can contact Intelligent InSites by calling +1-701-893-2000 or sending an email to info[.]intelligentinsites.com.

About Intelligent InSites

Intelligent InSites (IntelligentInSites.com) helps healthcare organizations reduce costs and improve care by transforming automatically-collected data into actionable insights. Through its interoperable, hardware-agnostic, healthcare RTLS software platform, Intelligent InSites gathers data from real-time location, condition sensing, and other systems; then delivers meaningful information to the right person, at the right time, on the right device. Intelligent InSites’ customers gain enterprise-wide visibility and are able to impact continuous process improvements, resulting in remarkable financial and quality of care outcomes.

 
 
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Written by / Agency / Source: Intelligent InSites, Inc.

 
 

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Intelligent InSites Helps Healthcare Organizations Identify Hard-Dollar Impact of RFID and RTLS Solutions

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Intelligent InSites |
Publisher Contact: Joanna Wyganowska - IntelligentInSites.com 
701-893-2000 press[.]IntelligentInSites.com
 
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