Catalogue


The state and pattern of health information technology adoption /
Kateryna Fonkych, Roger Taylor.
imprint
Santa Monica, CA : Rand Corp., 2005.
description
xiv, 52 p. : ill. ; 26 cm.
ISBN
0833038478 (pbk. : alk. paper)
format(s)
Book
Holdings
More Details
added author
added author
imprint
Santa Monica, CA : Rand Corp., 2005.
isbn
0833038478 (pbk. : alk. paper)
contents note
Literature findings on the factors of HIT adoption and on the influence of HIT -- Estimates of current HIT adoption and of HIT diffusion -- Factors related to HIT adoption -- Summary of results and conclusions.
general note
"MG-409."--P. [4] of cover.
catalogue key
5888782
 
Includes bibliographical references (p. 51-52).
A Look Inside
Summaries
Long Description
Estimates the current level and pattern of Healthcare Information Technology adoption in different types of healthcare organizations, and evaluates factors that affect this diffusion process.
Unpaid Annotation
By comparing adoption rates across different types of healthcare providers and geographical areas, we help focus the policy agenda by identifying which healthcare providers lag behind and may need the most incentives to adopt HIT. Next, we employ regression analysis to separate the effects of the provider's characteristics and factors on adoption of electronic medical records (EMR), computerized physician order entry (CPOE), and picture archiving communications systems (PACS), and compare them to findings in the literature.
Main Description
Innovations in information technology (IT) have improved efficiency and quality in many industries. Healthcare has not been one of them. Although some administrative IT systems, such as those for billing, scheduling, and inventory management, are already in place in the healthcare industry, little adoption of clinical IT, such as Electronic Medical Record Systems (EMR-S) and Clinical Decision Support tools, has occurred. Government intervention has been called for to speed the adoption process for Health Information Technology (HIT), based on the widespread belief that its adoption, or diffusion, is too slow to be socially optimal.
Table of Contents
Prefacep. iii
Figuresp. vii
Tablesp. ix
Summaryp. xi
Acronymsp. xiii
Introduction and Review of the Literaturep. 1
Introductionp. 1
Literature Findings on Factors That Relate to HIT Adoption and the Influence of HITp. 2
Estimates of Current HIT Adoption and of HIT Diffusionp. 7
Approachp. 7
Estimated Adoption of Major Clinical HIT System Componentsp. 9
Dynamics of the HIT Diffusion Processp. 14
HIT-Adoption Estimates from Alternative Sourcesp. 15
Surveys on the Factors That Enhance or Create Barriers to HIT Adoptionp. 19
Factors Related to HIT Adoptionp. 23
Methodp. 23
The Pattern of HIT Adoption in For-Profit as Opposed to Non-Profit Hospitalsp. 24
Hospital Typep. 26
Size and Rural Status of the Hospitalp. 27
Medicare and Medicaidp. 28
Managed Care Statusp. 31
System-Level Factors and Regional Factorsp. 33
Competitionp. 37
Community and Quality Orientation of the Hospitalp. 38
Link to Primary Carep. 40
Factors That Influence HIT Adoption in Ambulatory Clinicsp. 41
Multivariate Regression Analysis for HIT Adoption in Acute Care Hospitalsp. 43
Summary of Results and Conclusionsp. 49
Referencesp. 51
Table of Contents provided by Ingram. All Rights Reserved.

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