Language:
English
繁體中文
Help
圖資館首頁
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Improving Usability and Adoption of ...
~
Arizona State University.
Improving Usability and Adoption of Tablet-based Electronic Health Record (EHR) Applications.
Record Type:
Electronic resources : Monograph/item
Title/Author:
Improving Usability and Adoption of Tablet-based Electronic Health Record (EHR) Applications.
Author:
Subbiah, Naveen Kumar.
Published:
Ann Arbor : ProQuest Dissertations & Theses, 2018
Description:
83 p.
Notes:
Source: Masters Abstracts International, Volume: 57-05.
Notes:
Advisers: Vimla L. Patel; Sharon Hsiao.
Contained By:
Masters Abstracts International57-05(E).
Subject:
Computer science.
Online resource:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10749339
ISBN:
9780355824292
Improving Usability and Adoption of Tablet-based Electronic Health Record (EHR) Applications.
Subbiah, Naveen Kumar.
Improving Usability and Adoption of Tablet-based Electronic Health Record (EHR) Applications.
- Ann Arbor : ProQuest Dissertations & Theses, 2018 - 83 p.
Source: Masters Abstracts International, Volume: 57-05.
Thesis (M.S.)--Arizona State University, 2018.
The technological revolution has caused the entire world to migrate to a digital environment and health care is no exception to this. Electronic Health Records (EHR) or Electronic Medical Records (EMR) are the digital repository for health data of patients. Nation wide efforts have been made by the federal government to promote the usage of EHRs as they have been found to improve quality of health service. Although EHR systems have been implemented almost everywhere, active use of EHR applications have not replaced paper documentation. Rather, they are often used to store transcribed data from paper documentation after each clinical procedure. This process is found to be prone to errors such as data omission, incomplete data documentation and is also time consuming. This research aims to help improve adoption of real-time EHRs usage while documenting data by improving the usability of an iPad based EHR application that is used during resuscitation process in the intensive care unit. Using Cognitive theories and HCI frameworks, this research identified areas of improvement and customizations in the application that were required to exclusively match the work flow of the resuscitation team at the Mayo Clinic. In addition to this, a Handwriting Recognition Engine (HRE) was integrated into the application to support a stylus based information input into EHR, which resembles our target users' traditional pen and paper based documentation process. The EHR application was updated and then evaluated with end users at the Mayo clinic. The users found the application to be efficient, usable and they showed preference in using this application over the paper-based documentation.
ISBN: 9780355824292Subjects--Topical Terms:
199325
Computer science.
Improving Usability and Adoption of Tablet-based Electronic Health Record (EHR) Applications.
LDR
:02644nmm a2200301 4500
001
547548
005
20190513114556.5
008
190715s2018 ||||||||||||||||| ||eng d
020
$a
9780355824292
035
$a
(MiAaPQ)AAI10749339
035
$a
(MiAaPQ)asu:17620
035
$a
AAI10749339
040
$a
MiAaPQ
$c
MiAaPQ
100
1
$a
Subbiah, Naveen Kumar.
$3
826850
245
1 0
$a
Improving Usability and Adoption of Tablet-based Electronic Health Record (EHR) Applications.
260
1
$a
Ann Arbor :
$b
ProQuest Dissertations & Theses,
$c
2018
300
$a
83 p.
500
$a
Source: Masters Abstracts International, Volume: 57-05.
500
$a
Advisers: Vimla L. Patel; Sharon Hsiao.
502
$a
Thesis (M.S.)--Arizona State University, 2018.
520
$a
The technological revolution has caused the entire world to migrate to a digital environment and health care is no exception to this. Electronic Health Records (EHR) or Electronic Medical Records (EMR) are the digital repository for health data of patients. Nation wide efforts have been made by the federal government to promote the usage of EHRs as they have been found to improve quality of health service. Although EHR systems have been implemented almost everywhere, active use of EHR applications have not replaced paper documentation. Rather, they are often used to store transcribed data from paper documentation after each clinical procedure. This process is found to be prone to errors such as data omission, incomplete data documentation and is also time consuming. This research aims to help improve adoption of real-time EHRs usage while documenting data by improving the usability of an iPad based EHR application that is used during resuscitation process in the intensive care unit. Using Cognitive theories and HCI frameworks, this research identified areas of improvement and customizations in the application that were required to exclusively match the work flow of the resuscitation team at the Mayo Clinic. In addition to this, a Handwriting Recognition Engine (HRE) was integrated into the application to support a stylus based information input into EHR, which resembles our target users' traditional pen and paper based documentation process. The EHR application was updated and then evaluated with end users at the Mayo clinic. The users found the application to be efficient, usable and they showed preference in using this application over the paper-based documentation.
590
$a
School code: 0010.
650
4
$a
Computer science.
$3
199325
650
4
$a
Health care management.
$3
730398
690
$a
0984
690
$a
0769
710
2
$a
Arizona State University.
$b
Computer Science.
$3
708551
773
0
$t
Masters Abstracts International
$g
57-05(E).
790
$a
0010
791
$a
M.S.
792
$a
2018
793
$a
English
856
4 0
$u
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10749339
based on 0 review(s)
ALL
電子館藏
Items
1 records • Pages 1 •
1
Inventory Number
Location Name
Item Class
Material type
Call number
Usage Class
Loan Status
No. of reservations
Opac note
Attachments
000000163727
電子館藏
1圖書
學位論文
TH 2018
一般使用(Normal)
On shelf
0
1 records • Pages 1 •
1
Multimedia
Multimedia file
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10749339
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login