Haug PJ - Search Results

1

Implementation of Real-Time Electronic Clinical Decision Support for Emergency Department Patients with Pneumonia Across a Healthcare System.

Dean NC, Vines CG, Rubin J, Collingridge DS, Mankivsky M, Srivastava R, Jones BE, Kuttler KG, Walker M, Jenson N, Webb BJ, Allen TL, Haug PJ. Dean NC, et al. Among authors: haug pj. AMIA Annu Symp Proc. 2020 Mar 4;2019:353-362. eCollection 2019. AMIA Annu Symp Proc. 2020. PMID: 32308828 Free PMC article.

2

CDS in a Learning Health Care System: Identifying Physicians' Reasons for Rejection of Best-Practice Recommendations in Pneumonia through Computerized Clinical Decision Support.

Jones BE, Collingridge DS, Vines CG, Post H, Holmen J, Allen TL, Haug P, Weir CR, Dean NC. Jones BE, et al. Appl Clin Inform. 2019 Jan;10(1):1-9. doi: 10.1055/s-0038-1676587. Epub 2019 Jan 2. Appl Clin Inform. 2019. PMID: 30602195 Free PMC article.

3

Performance and utilization of an emergency department electronic screening tool for pneumonia.

Dean NC, Jones BE, Ferraro JP, Vines CG, Haug PJ. Dean NC, et al. Among authors: haug pj. JAMA Intern Med. 2013 Apr 22;173(8):699-701. doi: 10.1001/jamainternmed.2013.3299. JAMA Intern Med. 2013. PMID: 23552868 No abstract available.

4

Impact of an Electronic Clinical Decision Support Tool for Emergency Department Patients With Pneumonia.

Dean NC, Jones BE, Jones JP, Ferraro JP, Post HB, Aronsky D, Vines CG, Allen TL, Haug PJ. Dean NC, et al. Among authors: haug pj. Ann Emerg Med. 2015 Nov;66(5):511-20. doi: 10.1016/j.annemergmed.2015.02.003. Epub 2015 Feb 26. Ann Emerg Med. 2015. PMID: 25725592

5

CheXED: Comparison of a Deep Learning Model to a Clinical Decision Support System for Pneumonia in the Emergency Department.

Irvin JA, Pareek A, Long J, Rajpurkar P, Eng DK, Khandwala N, Haug PJ, Jephson A, Conner KE, Gordon BH, Rodriguez F, Ng AY, Lungren MP, Dean NC. Irvin JA, et al. Among authors: haug pj. J Thorac Imaging. 2022 May 1;37(3):162-167. doi: 10.1097/RTI.0000000000000622. Epub 2021 Sep 23. J Thorac Imaging. 2022. PMID: 34561377 Free PMC article.

6

Prospective evaluation of an automated method to identify patients with severe sepsis or septic shock in the emergency department.

Brown SM, Jones J, Kuttler KG, Keddington RK, Allen TL, Haug P. Brown SM, et al. BMC Emerg Med. 2016 Aug 22;16(1):31. doi: 10.1186/s12873-016-0095-0. BMC Emerg Med. 2016. PMID: 27549755 Free PMC article.

7

Accuracy of administrative data for identifying patients with pneumonia.

Aronsky D, Haug PJ, Lagor C, Dean NC. Aronsky D, et al. Among authors: haug pj. Am J Med Qual. 2005 Nov-Dec;20(6):319-28. doi: 10.1177/1062860605280358. Am J Med Qual. 2005. PMID: 16280395

8

Effect of mobile paramedic units on outcome in patients with myocardial infarction.

Dean NC, Haug PJ, Hawker PJ. Dean NC, et al. Among authors: haug pj. Ann Emerg Med. 1988 Oct;17(10):1034-41. doi: 10.1016/s0196-0644(88)80441-4. Ann Emerg Med. 1988. PMID: 3177991

9

A multivariate time series approach to modeling and forecasting demand in the emergency department.

Jones SS, Evans RS, Allen TL, Thomas A, Haug PJ, Welch SJ, Snow GL. Jones SS, et al. Among authors: haug pj. J Biomed Inform. 2009 Feb;42(1):123-39. doi: 10.1016/j.jbi.2008.05.003. Epub 2008 May 17. J Biomed Inform. 2009. PMID: 18571990 Free article.

10

An ontology-driven, diagnostic modeling system.

Haug PJ, Ferraro JP, Holmen J, Wu X, Mynam K, Ebert M, Dean N, Jones J. Haug PJ, et al. J Am Med Inform Assoc. 2013 Jun;20(e1):e102-10. doi: 10.1136/amiajnl-2012-001376. Epub 2013 Mar 23. J Am Med Inform Assoc. 2013. PMID: 23523876 Free PMC article.

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