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Health information technology and nu...

University of Pittsburgh.

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Health information technology and nursing homes.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Health information technology and nursing homes./
Author:	Liu, Darren.
Description:	130 p.
Notes:	Adviser: Nicholas G. Castle.
Contained By:	Dissertation Abstracts International70-10B.
Subject:	Health Sciences, Health Care Management. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3375306
ISBN:	9781109402827

Health information technology and nursing homes.
Liu, Darren.

Health information technology and nursing homes. - 130 p.

Adviser: Nicholas G. Castle.

Thesis (Dr.P.H.)--University of Pittsburgh, 2009.

Nursing homes are considered lagging behind in adopting health information technology (HIT). Many studies have highlighted the use of HIT as a means of improving health care quality. However, these studies overwhelmingly do not provide empirical information proving that HIT can actually achieve these improvements. The main research goal of this dissertation is to review the current development of HIT in nursing homes, to determine the nursing homes use of HIT features in MDS software, and to examine whether these uses result in better quality of care as measured by Nursing Home Compare (NHC) quality measures. This dissertation includes three parts and each part has its own emphasis and methodology centered on the main topic of the use of HIT in nursing homes.

ISBN: 9781109402827Subjects--Topical Terms:

1017922
Health Sciences, Health Care Management.

Health information technology and nursing homes.
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020 $a 9781109402827
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100 1 $a Liu, Darren. $3 1035455
245 1 0 $a Health information technology and nursing homes.
300 $a 130 p.
500 $a Adviser: Nicholas G. Castle.
500 $a Source: Dissertation Abstracts International, Volume: 70-10, Section: B, page: .
502 $a Thesis (Dr.P.H.)--University of Pittsburgh, 2009.
520 $a Nursing homes are considered lagging behind in adopting health information technology (HIT). Many studies have highlighted the use of HIT as a means of improving health care quality. However, these studies overwhelmingly do not provide empirical information proving that HIT can actually achieve these improvements. The main research goal of this dissertation is to review the current development of HIT in nursing homes, to determine the nursing homes use of HIT features in MDS software, and to examine whether these uses result in better quality of care as measured by Nursing Home Compare (NHC) quality measures. This dissertation includes three parts and each part has its own emphasis and methodology centered on the main topic of the use of HIT in nursing homes.
520 $a The first paper reviews the background and definitions of HIT as well as the most important applications and several standards that are currently used or under development. The second paper examines the use of commercial Minimum Data Set (MDS) software in nursing homes and identifies the HIT features that are available in the most commonly used software package. The frequency of use of each HIT feature in MDS software is also reported. The third paper evaluated whether the use of such HIT features is associated with better quality of care as measured by NHC.
520 $a This dissertation reviews the HIT, summarizes a list of top 12 advanced HIT features in commercial MDS software used by the surveyed nursing homes. The study also evaluates the frequency of use of each feature. It concluded that although nursing homes were often viewed as technologically impaired, many of them had used quite advanced HIT in commercial MDS software.
520 $a The findings are helpful in prioritizing the importance of future HIT development in nursing homes. Understanding the highlighted issues and the evidence of HIT use for promoting quality of care in nursing homes is a top research and public health concern. Future research should extend the list of HIT features in the current commercial MDS software and interconnect such features with available EHR systems in the continuum of health care.
590 $a School code: 0178.
650 4 $a Health Sciences, Health Care Management. $3 1017922
650 4 $a Information Technology. $3 1030799
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710 2 $a University of Pittsburgh. $3 958527
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792 $a 2009
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