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1.
A concept-wide association study to identify potential risk factors for nonadherence among prevalent users of antihypertensives.
Pharmacoepidemiol Drug Saf
; 28(10): 1299-1308, 2019 10.
Article
in English
| MEDLINE | ID: mdl-31313427
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2.
The relative benefits of claims and electronic health record data for predicting medication adherence trajectory.
Am Heart J
; 197: 153-162, 2018 03.
Article
in English
| MEDLINE | ID: mdl-29447776
3.
Defining and Assessing Geriatric Risk Factors and Associated Health Care Utilization Among Older Adults Using Claims and Electronic Health Records.
Med Care
; 56(3): 233-239, 2018 03.
Article
in English
| MEDLINE | ID: mdl-29438193
4.
Data for Value.
Health Data Manag
; 23(10): 32, 2015 Dec.
Article
in English
| MEDLINE | ID: mdl-26677545
5.
Extraction of Geriatric Syndromes From Electronic Health Record Clinical Notes: Assessment of Statistical Natural Language Processing Methods.
JMIR Med Inform
; 7(1): e13039, 2019 Mar 26.
Article
in English
| MEDLINE | ID: mdl-30862607
6.
A self-instructional model to teach systems-based practice and practice-based learning and improvement.
J Gen Intern Med
; 23(7): 931-6, 2008 Jul.
Article
in English
| MEDLINE | ID: mdl-18612719
7.
Population management, systems-based practice, and planned chronic illness care: integrating disease management competencies into primary care to improve composite diabetes quality measures.
Dis Manag
; 11(1): 13-22, 2008 Feb.
Article
in English
| MEDLINE | ID: mdl-18279110
8.
The Value of Unstructured Electronic Health Record Data in Geriatric Syndrome Case Identification.
J Am Geriatr Soc
; 66(8): 1499-1507, 2018 08.
Article
in English
| MEDLINE | ID: mdl-29972595
9.
An outbreak of group A Streptococcal infection among health care workers.
Clin Infect Dis
; 35(11): 1353-9, 2002 Dec 01.
Article
in English
| MEDLINE | ID: mdl-12439798
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