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Results: 1 to 20 of 34

Cited In for PubMed (Select 9524349)

1.

Computer literacy of physicians among the hospitals of Makkah region.

Shaker HA, Farooq MU.

J Family Community Med. 2013 Sep;20(3):173-8. doi: 10.4103/2230-8229.121998.

2.

Computer literacy improvement needs: physicians' self assessment in the makkah region.

Shake HA, Farooq MU.

Oman Med J. 2013 Nov;28(6):450-3. doi: 10.5001/omj.2013.125.

3.

Developing a survey to assess factors that contribute to physician involvement in clinical research.

Taliercio V, Logan JR, Kalpathy-Cramer J, Oteroa P.

Stud Health Technol Inform. 2013;192:107-11.

4.

Use of evidence-based practice among athletic training educators, clinicians, and students, part 1: perceived importance, knowledge, and confidence.

Hankemeier DA, Walter JM, McCarty CW, Newton EJ, Walker SE, Pribesh SL, Jamali BE, Manspeaker SA, Van Lunen BL.

J Athl Train. 2013 May-Jun;48(3):394-404. doi: 10.4085/1062-6050-48.2.16. Epub 2013 Feb 20.

5.

Knowledge and utilization of computer among health workers in Addis Ababa hospitals, Ethiopia: computer literacy in the health sector.

Mohammed E, Andargie G, Meseret S, Girma E.

BMC Res Notes. 2013 Mar 20;6:106. doi: 10.1186/1756-0500-6-106.

6.

A partnership model for implementing electronic health records in resource-limited primary care settings: experiences from two nurse-managed health centers.

Dennehy P, White MP, Hamilton A, Pohl JM, Tanner C, Onifade TJ, Zheng K.

J Am Med Inform Assoc. 2011 Nov-Dec;18(6):820-6. doi: 10.1136/amiajnl-2011-000117. Epub 2011 Aug 9.

7.

Using the time and motion method to study clinical work processes and workflow: methodological inconsistencies and a call for standardized research.

Zheng K, Guo MH, Hanauer DA.

J Am Med Inform Assoc. 2011 Sep-Oct;18(5):704-10. doi: 10.1136/amiajnl-2011-000083. Epub 2011 Apr 27.

8.

Development and validation of a survey instrument for assessing prescribers' perception of computerized drug-drug interaction alerts.

Zheng K, Fear K, Chaffee BW, Zimmerman CR, Karls EM, Gatwood JD, Stevenson JG, Pearlman MD.

J Am Med Inform Assoc. 2011 Dec;18 Suppl 1:i51-61. doi: 10.1136/amiajnl-2010-000053. Epub 2011 Apr 12.

9.

EHR acceptance factors in ambulatory care: a survey of physician perceptions.

Morton ME, Wiedenbeck S.

Perspect Health Inf Manag. 2010 Jan 1;7:1c.

10.

Social networks and physician adoption of electronic health records: insights from an empirical study.

Zheng K, Padman R, Krackhardt D, Johnson MP, Diamond HS.

J Am Med Inform Assoc. 2010 May-Jun;17(3):328-36. doi: 10.1136/jamia.2009.000877.

11.

A framework for predicting EHR adoption attitudes: a physician survey.

Morton ME, Wiedenbeck S.

Perspect Health Inf Manag. 2009 Sep 16;6:1a.

12.

e-Health? Clinical information network interest and impediments in a community paediatric setting.

Cawdron R, Calder J, Issenman RM.

Paediatr Child Health. 2001 Dec;6(10):762-6.

13.

Assessing patient attitudes to computerized screening in primary care: psychometric properties of the computerized lifestyle assessment scale.

Ahmad F, Hogg-Johnson S, Skinner HA.

J Med Internet Res. 2008 Apr 18;10(2):e11. doi: 10.2196/jmir.955.

14.

Determinants of user satisfaction with a Clinical Information System.

Palm JM, Colombet I, Sicotte C, Degoulet P.

AMIA Annu Symp Proc. 2006:614-8.

15.

Evaluation of an intelligent tutoring system in pathology: effects of external representation on performance gains, metacognition, and acceptance.

Crowley RS, Legowski E, Medvedeva O, Tseytlin E, Roh E, Jukic D.

J Am Med Inform Assoc. 2007 Mar-Apr;14(2):182-90. Epub 2007 Jan 9.

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19.

Identifying and overcoming obstacles to point-of-care data collection for eye care professionals.

Lobach DF, Silvey GM, Macri JM, Hunt M, Kacmaz RO, Lee PP.

AMIA Annu Symp Proc. 2005:465-9.

20.
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