Literature DB >> 27913245

Contextual Computing: A Bluetooth based approach for tracking healthcare providers in the emergency room.

Joshua Frisby1, Vernon Smith2, Stephen Traub3, Vimla L Patel4.   

Abstract

Hospital Emergency Departments (EDs) frequently experience crowding. One of the factors that contributes to this crowding is the "door to doctor time", which is the time from a patient's registration to when the patient is first seen by a physician. This is also one of the Meaningful Use (MU) performance measures that emergency departments report to the Center for Medicare and Medicaid Services (CMS). Current documentation methods for this measure are inaccurate due to the imprecision in manual data collection. We describe a method for automatically (in real time) and more accurately documenting the door to physician time. Using sensor-based technology, the distance between the physician and the computer is calculated by using the single board computers installed in patient rooms that log each time a Bluetooth signal is seen from a device that the physicians carry. This distance is compared automatically with the accepted room radius to determine if the physicians are present in the room at the time logged to provide greater precision. The logged times, accurate to the second, were compared with physicians' handwritten times, showing automatic recordings to be more precise. This real time automatic method will free the physician from extra cognitive load of manually recording data. This method for evaluation of performance is generic and can be used in any other setting outside the ED, and for purposes other than measuring physician time.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Clinical workflow; Contextual Computing; Meaningful Use; Patient safety; Sensor-based tracking

Mesh:

Year:  2016        PMID: 27913245     DOI: 10.1016/j.jbi.2016.11.008

Source DB:  PubMed          Journal:  J Biomed Inform        ISSN: 1532-0464            Impact factor:   6.317


  8 in total

1.  Emergency Physicians' Perceived Influence of EHR Use on Clinical Workflow and Performance Metrics.

Authors:  Courtney A Denton; Hiral C Soni; Thomas G Kannampallil; Anna Serrichio; Jason S Shapiro; Stephen J Traub; Vimla L Patel
Journal:  Appl Clin Inform       Date:  2018-09-12       Impact factor: 2.342

2.  Designing and validating a low-cost real time locating system to continuously assess patient wait times.

Authors:  Paula Anne Newman-Casey; John Musser; Leslie M Niziol; Kerby Shedden; David Burke; Amy Cohn
Journal:  J Biomed Inform       Date:  2020-04-24       Impact factor: 6.317

Review 3.  Big Data's Role in Precision Public Health.

Authors:  Shawn Dolley
Journal:  Front Public Health       Date:  2018-03-07

4.  Analyzing of Gender Behaviors from Paths Using Process Mining: A Shopping Mall Application.

Authors:  Onur Dogan; Jose-Luis Bayo-Monton; Carlos Fernandez-Llatas; Basar Oztaysi
Journal:  Sensors (Basel)       Date:  2019-01-29       Impact factor: 3.576

5.  A Real-Time, Automatic, and Dynamic Scheduling and Control System for PET Patients Based on Wearable Sensors.

Authors:  Shin-Yan Chiou; Kun-Ju Lin; Ya-Xin Dong
Journal:  Sensors (Basel)       Date:  2021-02-05       Impact factor: 3.576

6.  An Edge Computing and Ambient Data Capture System for Clinical and Home Environments.

Authors:  Pradyumna Byappanahalli Suresha; Chaitra Hegde; Zifan Jiang; Gari D Clifford
Journal:  Sensors (Basel)       Date:  2022-03-25       Impact factor: 3.576

7.  Real-time location system-based asset tracking in the healthcare field: lessons learned from a feasibility study.

Authors:  Sooyoung Yoo; Seok Kim; Eunhye Kim; Eunja Jung; Kee-Hyuck Lee; Hee Hwang
Journal:  BMC Med Inform Decis Mak       Date:  2018-09-10       Impact factor: 2.796

8.  Real-Time Person Identification in a Hospital Setting: A Systematic Review.

Authors:  Heleen M Essink; Armelle Knops; Amber M A Liqui Lung; C Nienke van der Meulen; Nino L Wouters; Aart J van der Molen; Wouter J H Veldkamp; M Frank Termaat
Journal:  Sensors (Basel)       Date:  2020-07-15       Impact factor: 3.576

  8 in total

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