Literature DB >> 33559774

A Survey About Real-Time Location Systems in Healthcare Environments.

Rodrigo Bazo1, Cristiano André da Costa2, Lucas Adams Seewald1, Luiz Gonzaga da Silveira1, Rodolfo Stoffel Antunes1, Rodrigo da Rosa Righi1, Vinicius Facco Rodrigues1.   

Abstract

Every year healthcare organizations suffer from several issues, such as unapropriated workflow, thousands of deaths caused by medical errors, counterfeit drugs, and increasing costs. To offer better patient care and increase profit, hospitals could adopt solutions that help remedy these problems. Real-Time Location Systems have the potential to deal with many of these issues, as well as offering means for developing new and intelligent solutions. This kind of system enables tracking assets and people, allowing several improvements. Even though the benefits of such solutions are well known and desired by healthcare providers, their large scale adoption is still distant. In this article, we surveyed Real-Time Location Systems usage in hospitals. While developing this survey, we observed a need for organizing important aspects of healthcare-oriented Real-Time Location Systems. Therefore, we analyzed challenges regarding this topic and a taxonomy proposed. This survey offers researchers and developers ways to comprehend the challenges surrounding this area while proposing a classification of aspects that a Real-Time Location System for healthcare environments must assess for it to be successful.

Entities:  

Keywords:  Healthcare; RTLS; Real-time location systems; Taxonomy

Mesh:

Year:  2021        PMID: 33559774     DOI: 10.1007/s10916-021-01710-1

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


  1 in total

Review 1.  Hospital Real-Time Location System (A Practical Approach in Healthcare): A Narrative Review Article.

Authors:  Leila Gholamhosseini; Farahnaz Sadoughi; Aliasghar Safaei
Journal:  Iran J Public Health       Date:  2019-04       Impact factor: 1.429

  1 in total
  1 in total

Review 1.  Indoor Location Data for Tracking Human Behaviours: A Scoping Review.

Authors:  Leia C Shum; Reza Faieghi; Terry Borsook; Tamim Faruk; Souraiya Kassam; Hoda Nabavi; Sofija Spasojevic; James Tung; Shehroz S Khan; Andrea Iaboni
Journal:  Sensors (Basel)       Date:  2022-02-05       Impact factor: 3.576

  1 in total

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