國立虎尾科技大學 |

An Investigation of Analytics and Business Intelligence Applications in Improving Healthcare Organization Performance : = A Mixed Methods Research.

Record Type:	Language materials, manuscript : Monograph/item
Title/Author:	An Investigation of Analytics and Business Intelligence Applications in Improving Healthcare Organization Performance :/
Reminder of title:	A Mixed Methods Research.
Author:	Bedeley, Rudolph Tetteh.
Description:	1 online resource (258 pages)
Notes:	Source: Dissertation Abstracts International, Volume: 79-01(E), Section: B.
Contained By:	Dissertation Abstracts International79-01B(E).
Subject:	Information technology. -
Online resource:	click for full text (PQDT)
ISBN:	9780355214864

An Investigation of Analytics and Business Intelligence Applications in Improving Healthcare Organization Performance : = A Mixed Methods Research.
Bedeley, Rudolph Tetteh.

An Investigation of Analytics and Business Intelligence Applications in Improving Healthcare Organization Performance :A Mixed Methods Research. - 1 online resource (258 pages)

Source: Dissertation Abstracts International, Volume: 79-01(E), Section: B.

Thesis (Ph.D.)

Includes bibliographical references

The healthcare ecosystem in the US is currently undergoing series of refinement and reformation due to the need to (i) improve quality of care and (ii) reduce cost. To achieve their key objective, healthcare organizations (HCOs) currently face a fundamental challenge: how to best use or optimize limited resources while providing better care and services to patients? The answer to this question might lie within HCO's massive data and the ability to identify and apply appropriate analytics and business intelligence (A&BI) techniques and technologies to discern and extract relevant information and knowledge from that data.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9780355214864Subjects--Topical Terms:

559429
Information technology.
Index Terms--Genre/Form:

554714
Electronic books.

An Investigation of Analytics and Business Intelligence Applications in Improving Healthcare Organization Performance : = A Mixed Methods Research.
LDR:04429ntm a2200385Ki 4500 001 911102
005 20180517121920.5
006 m o u
007 cr mn||||a|a||
008 190606s2017 xx obm 000 0 eng d
020 $a 9780355214864
035 $a (MiAaPQ)AAI10604099
035 $a (MiAaPQ)uncg:12321
035 $a AAI10604099
040 $a MiAaPQ $b eng $c MiAaPQ
099 $a TUL $f hyy $c available through World Wide Web
100 1 $a Bedeley, Rudolph Tetteh. $3 1182738
245 1 3 $a An Investigation of Analytics and Business Intelligence Applications in Improving Healthcare Organization Performance : $b A Mixed Methods Research.
264 0 $c 2017
300 $a 1 online resource (258 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Source: Dissertation Abstracts International, Volume: 79-01(E), Section: B.
500 $a Adviser: Lakshmi S. Iyer.
502 $a Thesis (Ph.D.) $c The University of North Carolina at Greensboro $d 2017.
504 $a Includes bibliographical references
520 $a The healthcare ecosystem in the US is currently undergoing series of refinement and reformation due to the need to (i) improve quality of care and (ii) reduce cost. To achieve their key objective, healthcare organizations (HCOs) currently face a fundamental challenge: how to best use or optimize limited resources while providing better care and services to patients? The answer to this question might lie within HCO's massive data and the ability to identify and apply appropriate analytics and business intelligence (A&BI) techniques and technologies to discern and extract relevant information and knowledge from that data.
520 $a However, despite the increasing interest in the implementation and utilization of A&BI techniques and technologies by various organizations to improve operational efficiencies and financial performance, HCOs still lag behind other sectors in the adoption and use of A&BI capabilities. Motivated by the "data rich but information poor" syndrome currently facing HCOs, this dissertation applies a mixed method research--case study (interpretivist) and survey (positivist) -- to investigate how healthcare organizations can leverage A&BI techniques and technologies to improve their overall performance.
520 $a In achieving this objective, I illustrate an exemplar of how A&BI techniques and technologies can effectively be applied by specifically answering this high-level research question (RQ): How can A&BI techniques, methods, and technologies be developed and leveraged to improve performance in healthcare organizations? This high-level RQ has been broken down into four sub-questions that will be answered in two different studies in this dissertation. In the first study, I investigate what combination of A&BI techniques and technologies HCOs are currently applying to create value. This study was conducted by using content/literature analysis and case study methods in a large healthcare organization. The second study builds on the first study to investigate, using both interview and survey data, how A&BI capabilities can be developed, cultivated and nurtured as a core competency or capability that significantly helps improve healthcare organizations' overall performance (such as cost reduction, quick access to providers and treatment, effective diagnostics, etc.).
520 $a I found very novel and interesting results in both studies that not only address the research questions, but also provide significant theoretical and practical contributions. Major contributions of study 1 include: revising and remodeling of an outdated healthcare value chain (HCVC) framework that is more realistic and applicable to current care delivery practices in the healthcare industry and mapping of A&BI capabilities to the different domains of the revised HCVC framework. Study 2 provides theoretical contribution to the existing literature by conceptualizing and empirically validating A&BI capability as a third-order multi-dimension construct and its significant influence on performance.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2018
538 $a Mode of access: World Wide Web
650 4 $a Information technology. $3 559429
650 4 $a Information science. $3 561178
655 7 $a Electronic books. $2 local $3 554714
690 $a 0489
690 $a 0723
710 2 $a ProQuest Information and Learning Co. $3 1178819
710 2 $a The University of North Carolina at Greensboro. $b Business and Economics: Information Systems and Supply Chain Management. $3 1182739
773 0 $t Dissertation Abstracts International $g 79-01B(E).
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10604099 $z click for full text (PQDT)