Decision support for caregivers through embedded capture and access

The care of individuals with concerns about development, health, and wellness is often a difficult, complicated task and may rely on a team of diverse caregivers. There are many decisions that caregivers must make to help ensure that the best care and health monitoring are administered. For my disse...

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Bibliographic Details
Main Author: Kientz, Julie A.
Published: Georgia Institute of Technology 2008
Subjects:
Online Access:http://hdl.handle.net/1853/24612
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spelling ndltd-GATECH-oai-smartech.gatech.edu-1853-246122013-01-07T20:27:35ZDecision support for caregivers through embedded capture and accessKientz, Julie A.Ubiquitous computingDecision supportCaregivingChildrenCapture and accessAutismDecision support systemsCaregiversScanning systemsElectronic surveillanceExperience Remote sensingThe care of individuals with concerns about development, health, and wellness is often a difficult, complicated task and may rely on a team of diverse caregivers. There are many decisions that caregivers must make to help ensure that the best care and health monitoring are administered. For my dissertation work, I have explored the use of embedded capture and access to support decision-making for caregivers. Embedded capture and access integrates simple and unobtrusive capture and useful access, including trending information and rich data, into existing work practices. I hypothesized that this technology encourages more frequent access to evidence, increased collaboration amongst caregivers, and decisions made with higher confidence. I have explored this technology through real world deployments of new embedded capture and access applications in two domains. For the first domain, I have developed two applications to support decision-making for caregivers administering therapy to children with autism. The first application, Abaris, supports therapists working with a single child in a home setting, and the second application, Abaris for Schools, extends the ideas of Abaris for use in a school setting for many teachers working with multiple children. The second domain I have explored is decision-making for parents of newborn children. In particular, I developed and evaluated embedded capture and access technology to support parents, pediatricians, and secondary childcare providers in making decisions about whether a child s development is progressing normally in order to promote the earlier detection of developmental delays.Georgia Institute of Technology2008-09-17T19:25:16Z2008-09-17T19:25:16Z2008-07-08Dissertationhttp://hdl.handle.net/1853/24612
collection NDLTD
sources NDLTD
topic Ubiquitous computing
Decision support
Caregiving
Children
Capture and access
Autism
Decision support systems
Caregivers
Scanning systems
Electronic surveillance
Experience Remote sensing
spellingShingle Ubiquitous computing
Decision support
Caregiving
Children
Capture and access
Autism
Decision support systems
Caregivers
Scanning systems
Electronic surveillance
Experience Remote sensing
Kientz, Julie A.
Decision support for caregivers through embedded capture and access
description The care of individuals with concerns about development, health, and wellness is often a difficult, complicated task and may rely on a team of diverse caregivers. There are many decisions that caregivers must make to help ensure that the best care and health monitoring are administered. For my dissertation work, I have explored the use of embedded capture and access to support decision-making for caregivers. Embedded capture and access integrates simple and unobtrusive capture and useful access, including trending information and rich data, into existing work practices. I hypothesized that this technology encourages more frequent access to evidence, increased collaboration amongst caregivers, and decisions made with higher confidence. I have explored this technology through real world deployments of new embedded capture and access applications in two domains. For the first domain, I have developed two applications to support decision-making for caregivers administering therapy to children with autism. The first application, Abaris, supports therapists working with a single child in a home setting, and the second application, Abaris for Schools, extends the ideas of Abaris for use in a school setting for many teachers working with multiple children. The second domain I have explored is decision-making for parents of newborn children. In particular, I developed and evaluated embedded capture and access technology to support parents, pediatricians, and secondary childcare providers in making decisions about whether a child s development is progressing normally in order to promote the earlier detection of developmental delays.
author Kientz, Julie A.
author_facet Kientz, Julie A.
author_sort Kientz, Julie A.
title Decision support for caregivers through embedded capture and access
title_short Decision support for caregivers through embedded capture and access
title_full Decision support for caregivers through embedded capture and access
title_fullStr Decision support for caregivers through embedded capture and access
title_full_unstemmed Decision support for caregivers through embedded capture and access
title_sort decision support for caregivers through embedded capture and access
publisher Georgia Institute of Technology
publishDate 2008
url http://hdl.handle.net/1853/24612
work_keys_str_mv AT kientzjuliea decisionsupportforcaregiversthroughembeddedcaptureandaccess
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