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Items: 1 to 20 of 110

1.

A method for the analysis and visualization of clinical workflow in dynamic environments.

Vankipuram A, Traub S, Patel VL.

J Biomed Inform. 2018 Mar;79:20-31. doi: 10.1016/j.jbi.2018.01.007. Epub 2018 Feb 2.

2.

Emergency medicine resident physicians' perceptions of electronic documentation and workflow: a mixed methods study.

Neri PM, Redden L, Poole S, Pozner CN, Horsky J, Raja AS, Poon E, Schiff G, Landman A.

Appl Clin Inform. 2015 Jan 21;6(1):27-41. doi: 10.4338/ACI-2014-08-RA-0065. eCollection 2015.

3.

Usability testing of Avoiding Diabetes Thru Action Plan Targeting (ADAPT) decision support for integrating care-based counseling of pre-diabetes in an electronic health record.

Chrimes D, Kitos NR, Kushniruk A, Mann DM.

Int J Med Inform. 2014 Sep;83(9):636-47. doi: 10.1016/j.ijmedinf.2014.05.002. Epub 2014 May 23.

4.

Characterizing workflow for pediatric asthma patients in emergency departments using electronic health records.

Ozkaynak M, Dziadkowiec O, Mistry R, Callahan T, He Z, Deakyne S, Tham E.

J Biomed Inform. 2015 Oct;57:386-98. doi: 10.1016/j.jbi.2015.08.018. Epub 2015 Aug 30.

5.

An observation tool for studying patient-oriented workflow in hospital emergency departments.

Ozkaynak M, Brennan P.

Methods Inf Med. 2013;52(6):503-13. doi: 10.3414/ME12-01-0079. Epub 2013 Sep 6.

PMID:
24008830
6.

Undirected health IT implementation in ambulatory care favors paper-based workarounds and limits health data exchange.

Djalali S, Ursprung N, Rosemann T, Senn O, Tandjung R.

Int J Med Inform. 2015 Nov;84(11):920-32. doi: 10.1016/j.ijmedinf.2015.08.001. Epub 2015 Aug 4.

7.

Development of a Novel Emergency Department Mapping Tool.

Grzywinski M, Carlisle S, Coleman J, Cook C, Hayden G, Pugliese R, Faircloth B, Ku B.

HERD. 2019 Apr 10:1937586719842349. doi: 10.1177/1937586719842349. [Epub ahead of print]

PMID:
30971138
8.

Introducing RFID technology in dynamic and time-critical medical settings: requirements and challenges.

Parlak S, Sarcevic A, Marsic I, Burd RS.

J Biomed Inform. 2012 Oct;45(5):958-74. doi: 10.1016/j.jbi.2012.04.003. Epub 2012 Apr 17.

9.

Cognitive processes as integrative component for developing expert decision-making systems: a workflow centered framework.

Jalote-Parmar A, Badke-Schaub P, Ali W, Samset E.

J Biomed Inform. 2010 Feb;43(1):60-74. doi: 10.1016/j.jbi.2009.07.001. Epub 2009 Jul 14.

10.

Visualization and analysis of activities in critical care environments.

Vankipuram M, Kahol K, Cohen T, Patel VL.

AMIA Annu Symp Proc. 2009 Nov 14;2009:662-6.

11.

Understanding the dispensary workflow at the Birmingham Free Clinic: a proposed framework for an informatics intervention.

Fisher AM, Herbert MI, Douglas GP.

BMC Health Serv Res. 2016 Feb 19;16:69. doi: 10.1186/s12913-016-1308-7.

12.

PARAMO: a PARAllel predictive MOdeling platform for healthcare analytic research using electronic health records.

Ng K, Ghoting A, Steinhubl SR, Stewart WF, Malin B, Sun J.

J Biomed Inform. 2014 Apr;48:160-70. doi: 10.1016/j.jbi.2013.12.012. Epub 2013 Dec 25.

13.

REDLetr: Workflow and tools to support the migration of legacy clinical data capture systems to REDCap.

Dunn WD Jr, Cobb J, Levey AI, Gutman DA.

Int J Med Inform. 2016 Sep;93:103-10. doi: 10.1016/j.ijmedinf.2016.06.015. Epub 2016 Jun 27.

14.

Study of the factors that promoted the implementation of electronic medical record on iPads at two emergency departments.

Rao AS, Adam TJ, Gensinger R, Westra BL.

AMIA Annu Symp Proc. 2012;2012:744-52. Epub 2012 Nov 3.

15.
16.

Identifying visual search patterns in eye gaze data; gaining insights into physician visual workflow.

Fong A, Hoffman DJ, Zachary Hettinger A, Fairbanks RJ, Bisantz AM.

J Am Med Inform Assoc. 2016 Nov;23(6):1180-1184. doi: 10.1093/jamia/ocv196. Epub 2016 Apr 23.

PMID:
27107446
17.

Health information exchange technology on the front lines of healthcare: workflow factors and patterns of use.

Unertl KM, Johnson KB, Lorenzi NM.

J Am Med Inform Assoc. 2012 May-Jun;19(3):392-400. doi: 10.1136/amiajnl-2011-000432. Epub 2011 Oct 14.

18.

Predicting treatment process steps from events.

Meier J, Dietz A, Boehm A, Neumuth T.

J Biomed Inform. 2015 Feb;53:308-19. doi: 10.1016/j.jbi.2014.12.003. Epub 2014 Dec 12.

19.

Efficiency achievements from a user-developed real-time modifiable clinical information system.

Bishop RO, Patrick J, Besiso A.

Ann Emerg Med. 2015 Feb;65(2):133-42.e5. doi: 10.1016/j.annemergmed.2014.05.032. Epub 2014 Jul 3.

PMID:
24997563
20.

Top ten challenges when interfacing a laboratory information system to an electronic health record: Experience at a large academic medical center.

Petrides AK, Tanasijevic MJ, Goonan EM, Landman AB, Kantartjis M, Bates DW, Melanson SEF.

Int J Med Inform. 2017 Oct;106:9-16. doi: 10.1016/j.ijmedinf.2017.06.008. Epub 2017 Jun 30.

PMID:
28870384

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