Literature DB >> 9669160

The accuracy of patient encounter logbooks used by family medicine clerkship students.

C T Patricoski1, K Shannon, G A Doyle.   

Abstract

BACKGROUND: Family medicine predoctoral programs frequently have medical students record patient diagnoses in logbooks. Little is known about the accuracy of such logbooks. No studies have compared patient records dictated by students with cases recorded in logbooks.
METHODS: Over 2 years, all patient encounters dictated by 79 medical students during their 8-week family medicine rotations were recorded and compared with information in the students' logbooks.
RESULTS: Students dictated 2,520 patient encounters but only recorded 2,085 (82.7%) of them in their logbooks. Still, this rate of inclusion is higher than other studies where students did not dictate patient encounters. On the average, each student saw and dictated 32 patient encounters but omitted five to six from their logs. There were no significant differences between the 10 honors and 69 non-honors students in the proportion of patients omitted from logbooks.
CONCLUSIONS: Medical students underreport patient encounters in clerkship logbooks. Keeping a record of the patients dictated by medical students was helpful in determining the accuracy of students' logbooks.

Entities:  

Mesh:

Year:  1998        PMID: 9669160

Source DB:  PubMed          Journal:  Fam Med        ISSN: 0742-3225            Impact factor:   1.756


  4 in total

1.  Students sitting medical finals--ready to be house officers?

Authors:  P B Goodfellow; P Claydon
Journal:  J R Soc Med       Date:  2001-10       Impact factor: 5.344

2.  Undergraduate medical students' experience in general practice.

Authors:  W Cullen; D Langton; Y Kelly; G Bury
Journal:  Ir J Med Sci       Date:  2004 Jan-Mar       Impact factor: 1.568

3.  Validation of an electronic system for recording medical student patient encounters.

Authors:  Flory L Nkoy; Sarah Petersen; Armand H Matheny Antommaria; Armand H Antommaria; Christopher G Maloney
Journal:  AMIA Annu Symp Proc       Date:  2008-11-06

4.  An intelligent listening framework for capturing encounter notes from a doctor-patient dialog.

Authors:  Jeffrey G Klann; Peter Szolovits
Journal:  BMC Med Inform Decis Mak       Date:  2009-11-03       Impact factor: 2.796

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.