Phelan M - Search Results

1

Association between Gentrification and Health and Healthcare Utilization.

Bhavsar NA, Yang LZ, Phelan M, Shepherd-Banigan M, Goldstein BA, Peskoe S, Palta P, Hirsch JA, Mitchell NS, Hirsch AG, Lunyera J, Mohottige D, Diamantidis CJ, Maciejewski ML, Boulware LE. Bhavsar NA, et al. Among authors: phelan m. J Urban Health. 2022 Dec;99(6):984-997. doi: 10.1007/s11524-022-00692-w. Epub 2022 Nov 11. J Urban Health. 2022. PMID: 36367672 Free PMC article.

2

Assessing electronic health record phenotypes against gold-standard diagnostic criteria for diabetes mellitus.

Spratt SE, Pereira K, Granger BB, Batch BC, Phelan M, Pencina M, Miranda ML, Boulware E, Lucas JE, Nelson CL, Neely B, Goldstein BA, Barth P, Richesson RL, Riley IL, Corsino L, McPeek Hinz ER, Rusincovitch S, Green J, Barton AB; DDC Phenotype Group; Kelley C, Hyland K, Tang M, Elliott A, Ruel E, Clark A, Mabrey M, Morrissey KL, Rao J, Hong B, Pierre-Louis M, Kelly K, Jelesoff N. Spratt SE, et al. Among authors: phelan m. J Am Med Inform Assoc. 2017 Apr 1;24(e1):e121-e128. doi: 10.1093/jamia/ocw123. J Am Med Inform Assoc. 2017. PMID: 27616701 Free PMC article.

3

Controlling for Informed Presence Bias Due to the Number of Health Encounters in an Electronic Health Record.

Goldstein BA, Bhavsar NA, Phelan M, Pencina MJ. Goldstein BA, et al. Among authors: phelan m. Am J Epidemiol. 2016 Dec 1;184(11):847-855. doi: 10.1093/aje/kww112. Epub 2016 Nov 16. Am J Epidemiol. 2016. PMID: 27852603 Free PMC article.

4

Illustrating Informed Presence Bias in Electronic Health Records Data: How Patient Interactions with a Health System Can Impact Inference.

Phelan M, Bhavsar NA, Goldstein BA. Phelan M, et al. EGEMS (Wash DC). 2017 Dec 6;5(1):22. doi: 10.5334/egems.243. EGEMS (Wash DC). 2017. PMID: 29930963 Free PMC article.

5

Minimal Impact of Implemented Early Warning Score and Best Practice Alert for Patient Deterioration.

Bedoya AD, Clement ME, Phelan M, Steorts RC, O'Brien C, Goldstein BA. Bedoya AD, et al. Among authors: phelan m. Crit Care Med. 2019 Jan;47(1):49-55. doi: 10.1097/CCM.0000000000003439. Crit Care Med. 2019. PMID: 30247239 Free PMC article.

6

Value of Neighborhood Socioeconomic Status in Predicting Risk of Outcomes in Studies That Use Electronic Health Record Data.

Bhavsar NA, Gao A, Phelan M, Pagidipati NJ, Goldstein BA. Bhavsar NA, et al. Among authors: phelan m. JAMA Netw Open. 2018 Sep 7;1(5):e182716. doi: 10.1001/jamanetworkopen.2018.2716. JAMA Netw Open. 2018. PMID: 30646172 Free PMC article.

7

An outcome model approach to transporting a randomized controlled trial results to a target population.

Goldstein BA, Phelan M, Pagidipati NJ, Holman RR, Pencina MJ, Stuart EA. Goldstein BA, et al. Among authors: phelan m. J Am Med Inform Assoc. 2019 May 1;26(5):429-437. doi: 10.1093/jamia/ocy188. J Am Med Inform Assoc. 2019. PMID: 30869798 Free PMC article.

8

How and when informative visit processes can bias inference when using electronic health records data for clinical research.

Goldstein BA, Phelan M, Pagidipati NJ, Peskoe SB. Goldstein BA, et al. Among authors: phelan m. J Am Med Inform Assoc. 2019 Dec 1;26(12):1609-1617. doi: 10.1093/jamia/ocz148. J Am Med Inform Assoc. 2019. PMID: 31553474 Free PMC article.

9

Development, Implementation, and Evaluation of an In-Hospital Optimized Early Warning Score for Patient Deterioration.

O'Brien C, Goldstein BA, Shen Y, Phelan M, Lambert C, Bedoya AD, Steorts RC. O'Brien C, et al. Among authors: phelan m. MDM Policy Pract. 2020 Jan 10;5(1):2381468319899663. doi: 10.1177/2381468319899663. eCollection 2020 Jan-Jun. MDM Policy Pract. 2020. PMID: 31976373 Free PMC article.

10

Development of a Machine Learning Model Using Electronic Health Record Data to Identify Antibiotic Use Among Hospitalized Patients.

Moehring RW, Phelan M, Lofgren E, Nelson A, Dodds Ashley E, Anderson DJ, Goldstein BA. Moehring RW, et al. Among authors: phelan m. JAMA Netw Open. 2021 Mar 1;4(3):e213460. doi: 10.1001/jamanetworkopen.2021.3460. JAMA Netw Open. 2021. PMID: 33779743 Free PMC article.

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