Schwartz J - Search Results

1

An Interprofessional Approach to Clinical Workflow Evaluation Focused on the Electronic Health Record Using Time motion Study Methods.

Schwartz J, Elias J, Slater C, Cato K, Rossetti SC. Schwartz J, et al. AMIA Annu Symp Proc. 2020 Mar 4;2019:1187-1196. eCollection 2019. AMIA Annu Symp Proc. 2020. PMID: 32308916 Free PMC article.

2

Identifying nurses' concern concepts about patient deterioration using a standard nursing terminology.

Kang MJ, Dykes PC, Korach TZ, Zhou L, Schnock KO, Thate J, Whalen K, Jia H, Schwartz J, Garcia JP, Knaplund C, Cato KD, Rossetti SC. Kang MJ, et al. Among authors: schwartz j. Int J Med Inform. 2020 Jan;133:104016. doi: 10.1016/j.ijmedinf.2019.104016. Epub 2019 Oct 31. Int J Med Inform. 2020. PMID: 31707264 Free PMC article.

3

Unsupervised Machine Learning of Topics Documented by Nurses about Hospitalized Patients Prior to a Rapid-Response Event.

Korach ZT, Cato KD, Collins SA, Kang MJ, Knaplund C, Dykes PC, Wang L, Schnock KO, Garcia JP, Jia H, Chang F, Schwartz JM, Zhou L. Korach ZT, et al. Appl Clin Inform. 2019 Oct;10(5):952-963. doi: 10.1055/s-0039-3401814. Epub 2019 Dec 18. Appl Clin Inform. 2019. PMID: 31853936 Free PMC article.

4

Mining clinical phrases from nursing notes to discover risk factors of patient deterioration.

Korach ZT, Yang J, Rossetti SC, Cato KD, Kang MJ, Knaplund C, Schnock KO, Garcia JP, Jia H, Schwartz JM, Zhou L. Korach ZT, et al. Among authors: schwartz jm. Int J Med Inform. 2020 Mar;135:104053. doi: 10.1016/j.ijmedinf.2019.104053. Epub 2019 Dec 14. Int J Med Inform. 2020. PMID: 31884312 Free PMC article.

5

Development and validation of early warning score system: A systematic literature review.

Fu LH, Schwartz J, Moy A, Knaplund C, Kang MJ, Schnock KO, Garcia JP, Jia H, Dykes PC, Cato K, Albers D, Rossetti SC. Fu LH, et al. Among authors: schwartz j. J Biomed Inform. 2020 May;105:103410. doi: 10.1016/j.jbi.2020.103410. Epub 2020 Apr 8. J Biomed Inform. 2020. PMID: 32278089 Free PMC article. Review.

6

Clinician involvement in research on machine learning-based predictive clinical decision support for the hospital setting: A scoping review.

Schwartz JM, Moy AJ, Rossetti SC, Elhadad N, Cato KD. Schwartz JM, et al. J Am Med Inform Assoc. 2021 Mar 1;28(3):653-663. doi: 10.1093/jamia/ocaa296. J Am Med Inform Assoc. 2021. PMID: 33325504 Free PMC article.

7

Measurement of clinical documentation burden among physicians and nurses using electronic health records: a scoping review.

Moy AJ, Schwartz JM, Chen R, Sadri S, Lucas E, Cato KD, Rossetti SC. Moy AJ, et al. Among authors: schwartz jm. J Am Med Inform Assoc. 2021 Apr 23;28(5):998-1008. doi: 10.1093/jamia/ocaa325. J Am Med Inform Assoc. 2021. PMID: 33434273 Free PMC article. Review.

8

Healthcare Process Modeling to Phenotype Clinician Behaviors for Exploiting the Signal Gain of Clinical Expertise (HPM-ExpertSignals): Development and evaluation of a conceptual framework.

Rossetti SC, Knaplund C, Albers D, Dykes PC, Kang MJ, Korach TZ, Zhou L, Schnock K, Garcia J, Schwartz J, Fu LH, Klann JG, Lowenthal G, Cato K. Rossetti SC, et al. Among authors: schwartz j. J Am Med Inform Assoc. 2021 Jun 12;28(6):1242-1251. doi: 10.1093/jamia/ocab006. J Am Med Inform Assoc. 2021. PMID: 33624765 Free PMC article.

9

Time-motion examination of electronic health record utilization and clinician workflows indicate frequent task switching and documentation burden.

Moy AJ, Schwartz JM, Elias J, Imran S, Lucas E, Cato KD, Rossetti SC. Moy AJ, et al. Among authors: schwartz jm. AMIA Annu Symp Proc. 2021 Jan 25;2020:886-895. eCollection 2020. AMIA Annu Symp Proc. 2021. PMID: 33936464 Free PMC article.

10

Corrigendum to: Clinician involvement in research on machine learning-based predictive clinical decision support for the hospital setting: A scoping review.

Schwartz JM, Moy AJ, Rossetti SC, Elhadad N, Cato KD. Schwartz JM, et al. J Am Med Inform Assoc. 2021 Oct 12;28(11):2545. doi: 10.1093/jamia/ocab152. J Am Med Inform Assoc. 2021. PMID: 34313750 Free PMC article. No abstract available.

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