Contextual Computing: Tracking Healthcare Providers in the Emergency Department via Bluetooth Beacons

abstract: Hospital Emergency Departments (EDs) are frequently crowded. The Center for Medicare and Medicaid Services (CMS) collects performance measurements from EDs such as that of the door to clinician time. The door to clinician time is the time at which a patient is first seen by a clinici...

Full description

Bibliographic Details
Other Authors: Frisby, Joshua (Author)
Format: Dissertation
Language:English
Published: 2015
Subjects:
Online Access:http://hdl.handle.net/2286/R.I.34786
id ndltd-asu.edu-item-34786
record_format oai_dc
spelling ndltd-asu.edu-item-347862018-06-22T03:06:26Z Contextual Computing: Tracking Healthcare Providers in the Emergency Department via Bluetooth Beacons abstract: Hospital Emergency Departments (EDs) are frequently crowded. The Center for Medicare and Medicaid Services (CMS) collects performance measurements from EDs such as that of the door to clinician time. The door to clinician time is the time at which a patient is first seen by a clinician. Current methods for documenting the door to clinician time are in written form and may contain inaccuracies. The goal of this thesis is to provide a method for automatic and accurate retrieval and documentation of the door to clinician time. To automatically collect door to clinician times, single board computers were installed in patient rooms that logged the time whenever they saw a specific Bluetooth emission from a device that the clinician carried. The Bluetooth signal is used to calculate the distance of the clinician from the single board computer. The logged time and distance calculation is then sent to the server where it is determined if the clinician was in the room seeing the patient at the time logged. The times automatically collected were compared with the handwritten times recorded by clinicians and have shown that they are justifiably accurate to the minute. Dissertation/Thesis Frisby, Joshua (Author) Nelson, Brian C (Advisor) Patel, Vimla L (Advisor) Smith, Vernon (Committee member) Kaufman, David R (Committee member) Arizona State University (Publisher) Computer science Bioinformatics Bluetooth Computing Contextual Emergency Healthcare eng 62 pages Masters Thesis Computer Science 2015 Masters Thesis http://hdl.handle.net/2286/R.I.34786 http://rightsstatements.org/vocab/InC/1.0/ All Rights Reserved 2015
collection NDLTD
language English
format Dissertation
sources NDLTD
topic Computer science
Bioinformatics
Bluetooth
Computing
Contextual
Emergency
Healthcare
spellingShingle Computer science
Bioinformatics
Bluetooth
Computing
Contextual
Emergency
Healthcare
Contextual Computing: Tracking Healthcare Providers in the Emergency Department via Bluetooth Beacons
description abstract: Hospital Emergency Departments (EDs) are frequently crowded. The Center for Medicare and Medicaid Services (CMS) collects performance measurements from EDs such as that of the door to clinician time. The door to clinician time is the time at which a patient is first seen by a clinician. Current methods for documenting the door to clinician time are in written form and may contain inaccuracies. The goal of this thesis is to provide a method for automatic and accurate retrieval and documentation of the door to clinician time. To automatically collect door to clinician times, single board computers were installed in patient rooms that logged the time whenever they saw a specific Bluetooth emission from a device that the clinician carried. The Bluetooth signal is used to calculate the distance of the clinician from the single board computer. The logged time and distance calculation is then sent to the server where it is determined if the clinician was in the room seeing the patient at the time logged. The times automatically collected were compared with the handwritten times recorded by clinicians and have shown that they are justifiably accurate to the minute. === Dissertation/Thesis === Masters Thesis Computer Science 2015
author2 Frisby, Joshua (Author)
author_facet Frisby, Joshua (Author)
title Contextual Computing: Tracking Healthcare Providers in the Emergency Department via Bluetooth Beacons
title_short Contextual Computing: Tracking Healthcare Providers in the Emergency Department via Bluetooth Beacons
title_full Contextual Computing: Tracking Healthcare Providers in the Emergency Department via Bluetooth Beacons
title_fullStr Contextual Computing: Tracking Healthcare Providers in the Emergency Department via Bluetooth Beacons
title_full_unstemmed Contextual Computing: Tracking Healthcare Providers in the Emergency Department via Bluetooth Beacons
title_sort contextual computing: tracking healthcare providers in the emergency department via bluetooth beacons
publishDate 2015
url http://hdl.handle.net/2286/R.I.34786
_version_ 1718700844920078336