Literature DB >> 19461078

Time study of clinical and nonclinical workload in pathology and laboratory medicine.

Martin J Trotter1, Erik T Larsen, Nicholas Tait, James R Wright.   

Abstract

We describe a detailed, cross-sectional, self-report time study of laboratory physician tasks in a regionalized, multisite academic setting, using custom data collection templates programmed into personal digital assistants (PDAs). The 7-week study was completed by 56 medical and scientific staff (86% participation rate). Participants recorded 12,781 PDA entries of specific tasks completed during the study period. The mean number of entries per worked day per participant was 8.14 (range, 1.96-14.33). Study results demonstrated that professional staff worked, on average, 53.5 hours per week. Percentage work time spent in each activity area was as follows: clinical, direct, 50.6%; administration, 18.5%; clinical, indirect, 9.5%; research, 8.2%; learning/continuing education, 5.3%; teaching, 4.9%; and quality assurance, 3.1%. These percentages varied significantly by laboratory medicine subspecialty and by type of academic appointment. The findings confirm that activities not directly involved with patient care, such as administration, quality assurance, teaching, research, and professional development, typically occupy 40% to 50% of a laboratory physician's time.

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Year:  2009        PMID: 19461078     DOI: 10.1309/AJCP8SKO6BUJQXHD

Source DB:  PubMed          Journal:  Am J Clin Pathol        ISSN: 0002-9173            Impact factor:   2.493


  6 in total

1.  Individualized medicine and demographic change as determining workload factors in pathology: quo vadis?

Authors:  Arne Warth; Albrecht Stenzinger; Mindaugas Andrulis; Werner Schlake; Gisela Kempny; Peter Schirmacher; Wilko Weichert
Journal:  Virchows Arch       Date:  2015-10-24       Impact factor: 4.064

2.  Modeling complexity in pathologist workload measurement: the Automatable Activity-Based Approach to Complexity Unit Scoring (AABACUS).

Authors:  Carol C Cheung; Emina E Torlakovic; Hung Chow; Dale C Snover; Sylvia L Asa
Journal:  Mod Pathol       Date:  2014-09-12       Impact factor: 7.842

Review 3.  Inter-observer reliability assessments in time motion studies: the foundation for meaningful clinical workflow analysis.

Authors:  Marcelo A Lopetegui; Shasha Bai; Po-Yin Yen; Albert Lai; Peter Embi; Philip R O Payne
Journal:  AMIA Annu Symp Proc       Date:  2013-11-16

4.  Response: Attitude and Perception of Medical Students Towards Histology Subject at Wollo University, Ethiopia [Letter].

Authors:  Fortis Gaba; Qassi Q Gaba; Dilini Fernando
Journal:  Adv Med Educ Pract       Date:  2022-05-12

5.  Assessing the precision of a time-sampling-based study among GPs: balancing sample size and measurement frequency.

Authors:  Daniël van Hassel; Lud van der Velden; Dinny de Bakker; Lucas van der Hoek; Ronald Batenburg
Journal:  Hum Resour Health       Date:  2017-12-04

6.  Workload measurement for molecular genetics laboratory: A survey study.

Authors:  Enrico Tagliafico; Isabella Bernardis; Marina Grasso; Maria Rosaria D'Apice; Cristina Lapucci; Annalisa Botta; Daniela Francesca Giachino; Maria Marinelli; Paola Primignani; Silvia Russo; Ilaria Sani; Manuela Seia; Sergio Fini; Paola Rimessi; Elena Tenedini; Anna Ravani; Maurizio Genuardi; Alessandra Ferlini
Journal:  PLoS One       Date:  2018-11-27       Impact factor: 3.240

  6 in total

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