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

Kyle R. Koenig, Kalyan S. Pasupathy, Thomas R. Hellmich, Hunter J. Hawthorne, Vytas P. Karalius, Mustafa Sir, Devashish Das, Heather A. Heaton, David M. Nestler

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish (US)
Article number15
JournalJournal of Medical Systems
Volume45
Issue number1
DOIs
StatePublished - Jan 2021

Keywords

  • Emergency department
  • Precision
  • Radio frequency identification
  • Real time location system
  • Sensitivity

ASJC Scopus subject areas

  • Medicine (miscellaneous)
  • Information Systems
  • Health Informatics
  • Health Information Management

Fingerprint

Dive into the research topics of 'Measuring Sensitivity and Precision of Real-Time Location Systems (RTLS): Definition, Protocol and Demonstration for Clinical Relevance'. Together they form a unique fingerprint.

Cite this