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An informatics approach to chronic d...

Wadsworth, John Chapin.

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An informatics approach to chronic disease management in primary care: Blending business intelligence and care process models.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	An informatics approach to chronic disease management in primary care: Blending business intelligence and care process models./
Author:	Wadsworth, John Chapin.
Description:	139 p.
Notes:	Source: Masters Abstracts International, Volume: 51-06.
Contained By:	Masters Abstracts International51-06(E).
Subject:	Biology, Bioinformatics. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1538497
ISBN:	9781303117077

An informatics approach to chronic disease management in primary care: Blending business intelligence and care process models.
Wadsworth, John Chapin.

An informatics approach to chronic disease management in primary care: Blending business intelligence and care process models. - 139 p.

Source: Masters Abstracts International, Volume: 51-06.

Thesis (M.S.)--The University of Utah, 2013.

Asthma, diabetes, and depression are chronic diseases managed through the Primary Care Clinical Program at Intermountain Healthcare. Primary Care Providers (PCPs) receive monthly reports on their patients with these conditions. The reporting paradigm focuses on individual diseases. PCPs have asked for a consolidated view of chronic disease, one that is patient-centric rather than disease-centric.

ISBN: 9781303117077Subjects--Topical Terms:

1018415
Biology, Bioinformatics.

An informatics approach to chronic disease management in primary care: Blending business intelligence and care process models.
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020 $a 9781303117077
035 $a (MiAaPQ)AAI1538497
035 $a AAI1538497
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100 1 $a Wadsworth, John Chapin. $3 2101972
245 1 3 $a An informatics approach to chronic disease management in primary care: Blending business intelligence and care process models.
300 $a 139 p.
500 $a Source: Masters Abstracts International, Volume: 51-06.
500 $a Adviser: Stanley M. Huff.
502 $a Thesis (M.S.)--The University of Utah, 2013.
520 $a Asthma, diabetes, and depression are chronic diseases managed through the Primary Care Clinical Program at Intermountain Healthcare. Primary Care Providers (PCPs) receive monthly reports on their patients with these conditions. The reporting paradigm focuses on individual diseases. PCPs have asked for a consolidated view of chronic disease, one that is patient-centric rather than disease-centric.
520 $a A clinical decision support tool was developed using data from Intermountain's enterprise data warehouse. A cube was built to report on asthma, diabetes, and depression patients simultaneously. 183, 000 patients were included in the study. The tool measures PCP's adherence to best practices for chronic disease management. It also allows ad-hoc analysis of large data sets as well as actionable reports for PCPs to identify gaps in adherence to best practices.
520 $a Primary care providers can view their patient populations with asthma, diabetes and depression in a consolidated report. The decision support tool was successfully built as a prototype for chronic disease management. The tool has the potential to scale and include many chronic conditions for reporting. It was demonstrated to executives, directors, and PCPs at Intermountain.
520 $a Chronic disease management should be done with a patient focus rather than a disease focus. Information technology has an important role to play in the support of primary care and the medical home. Clinical decision support tools can be built to improve population-level and patient-level chronic disease management.
590 $a School code: 0240.
650 4 $a Biology, Bioinformatics. $3 1018415
650 4 $a Health Sciences, Health Care Management. $3 1017922
650 4 $a Health Sciences, Public Health. $3 1017659
690 $a 0715
690 $a 0769
690 $a 0573
710 2 $a The University of Utah. $b Biomedical Informatics. $3 1681657
773 0 $t Masters Abstracts International $g 51-06(E).
790 $a 0240
791 $a M.S.
792 $a 2013
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1538497