Literature DB >> 33411118

Measuring Sensitivity and Precision of Real-Time Location Systems (RTLS): Definition, Protocol and Demonstration for Clinical Relevance.

Kyle R Koenig1,2, Kalyan S Pasupathy3,4,5, Thomas R Hellmich1,6, Hunter J Hawthorne1,2, Vytas P Karalius1,7, Mustafa Sir1,2,8, Devashish Das1,2,8,9, Heather A Heaton1,6, David M Nestler1,6.   

Abstract

The ability of a Real Time Location System (RTLS) to provide correct information in a clinical environment is an important consideration in evaluating the effectiveness of the technology. While past efforts describe how well the technology performed in a lab environment, the performance of such technology has not been specifically defined or evaluated in a practice setting involving workflow and movement. Clinical environments pose complexity owing to various layouts and various movements. Further, RTL systems are not equipped to provide true negative information (where an entity is not located). Hence, this study defined sensitivity and precision in this context, and developed a simulation protocol to serve as a systematic testing framework using actors in a clinical environment. The protocol was used to measure the sensitivity and precision of an RTL system in the emergency department space of a quaternary care medical center. The overall sensitivity and precision were determined to be 84 and 93% respectively. These varied for patient rooms, staff area, hallway and other rooms.

Entities:  

Keywords:  Emergency department; Precision; Radio frequency identification; Real time location system; Sensitivity

Mesh:

Year:  2021        PMID: 33411118     DOI: 10.1007/s10916-020-01606-6

Source DB:  PubMed          Journal:  J Med Syst        ISSN: 0148-5598            Impact factor:   4.460


  2 in total

1.  The optimal RTLS solution for hospitals. Breaking through a complex environment.

Authors:  Rick Krohn
Journal:  J Healthc Inf Manag       Date:  2008

Review 2.  Radio Frequency Identification (RFID) technology and patient safety.

Authors:  Sima Ajami; Ahmad Rajabzadeh
Journal:  J Res Med Sci       Date:  2013-09       Impact factor: 1.852

  2 in total
  1 in total

1.  Improving Care Delivery: Location Timestamps to Enhance Process Measurement of a Clinical Workflow.

Authors:  Lindsey Barrick; Danny T Y Wu; Theresa Frey; Derek Shu; Ruthvik Abbu; Stephen C Porter; Kevin M Overmann
Journal:  Pediatr Qual Saf       Date:  2021-09-24
  1 in total

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