Literature DB >> 35928182

Surgical block 4.0: a digital intervention based on a real-time location patient-flow solution to support the automation of surgical pathways.

Jordi Rovira-Simón1, Marc Sales-I-Coll2, Patricia Pozo-Rosich3, Juan Antonio Hueto-Madrid1, Raquel Cánovas Paradell1, Anna Ochoa de Echagüen Aguilar4, Marta Carbonell-Cobo5, Rodolfo de Castro6, Genevieve Shaw7.   

Abstract

As internet of things (IoT) technologies are increasingly adopted by healthcare and hospitals, new opportunities are emerging to transform patient pathways and achieve efficient delivery of care. This implemented project follows the drivers and requirements of industry 4.0, based on surgical process analysis and optimisation using IoT technology, with the goal of creating '4.0 hospitals'. Our study presents the implementation of a novel IoT application, aiming to give support to multidisciplinary surgical teams through the optimisation of patient pathways to facilitate the surgical process. The implemented solution is based on real-time location systems (RTLS) technology, a subgroup within IoT, and it originated through the hospital needing to address the sudden surge of surgical elective care demand. The solution also enhances patient safety, facilitates quality of care by increasing communication and reduces costs. This IoT tool has facilitated the increase of theatre utilisation from 70.02% to 82.5% in 2 years, which has translated into an increase of surgical activity capacity, with an impact on reducing the waiting list. © Royal College of Physicians 2022 All rights reserved.

Entities:  

Keywords:  internet of things; patient flow; real-time location solutions; surgical pathways automation

Year:  2022        PMID: 35928182      PMCID: PMC9345239          DOI: 10.7861/fhj.2022-0005

Source DB:  PubMed          Journal:  Future Healthc J        ISSN: 2514-6645


  5 in total

1.  Unravelling the dynamics of referral-to-treatment in the NHS.

Authors:  Richard M Wood
Journal:  Health Syst (Basingstoke)       Date:  2019-12-11

2.  Improving Clinic Operational Efficiency and Utilization with RTLS.

Authors:  Bjorn Berg; Grant Longley; Jordan Dunitz
Journal:  J Med Syst       Date:  2019-01-30       Impact factor: 4.460

3.  'It is Time to Prepare the Next patient' Real-Time Prediction of Procedure Duration in Laparoscopic Cholecystectomies.

Authors:  Annetje C P Guédon; M Paalvast; F C Meeuwsen; D M J Tax; A P van Dijke; L S G L Wauben; M van der Elst; J Dankelman; J J van den Dobbelsteen
Journal:  J Med Syst       Date:  2016-10-14       Impact factor: 4.460

Review 4.  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

Review 5.  Real-time locating systems (RTLS) in healthcare: a condensed primer.

Authors:  Maged N Kamel Boulos; Geoff Berry
Journal:  Int J Health Geogr       Date:  2012-06-28       Impact factor: 3.918

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.