Title | Computerized prescriber order entry implementation in a physician assistant-managed hematology and oncology inpatient service: effects on workflow and task switching. |
Publication Type | Journal Article |
Year of Publication | 2013 |
Authors | Hanauer, DA, Zheng, K, Commiskey, EL, Duck, MG, Choi, SW, Blayney, DW |
Journal | J Oncol Pract |
Volume | 9 |
Issue | 4 |
Pagination | e103-14 |
Date Published | 2013 Jul |
ISSN | 1935-469X |
Keywords | Hematology, Humans, Inpatients, Medical Oncology, Medical Order Entry Systems, Patient Care, Physician Assistants, Task Performance and Analysis, Time Factors, Workflow |
Abstract | PURPOSE: Little is known about the impact of computerized prescriber order entry (CPOE) systems on inpatient hematology/oncology services. The objective of this study was to quantify the impact of an inpatient CPOE implementation on workflow, with an emphasis on ordering and direct patient care time.METHODS: We conducted a direct-observation time-and-motion study of the provider team of a hematology/oncology inpatient service both before and after CPOE implementation, characterizing workflow into 60 distinct activity categories. The provider team comprised physician assistants supervised by attending physicians. Results were adjusted to account for variations in the census. We also conducted an analysis of computer logs to assess CPOE system usage.RESULTS: Study participants were observed for 228.0 hours over 53 observation sessions. There was little change in the proportion of census-adjusted time spent on ordering (10.2% before v 11.4% after) and on direct patient care (50.7% before v 47.8% after). Workflow fragmentation decreased, with providers spending an average of 131.2 seconds on a continuous task before implementation and 218.3 seconds after (P < .01). An eight-fold decrease in the number of pages was observed during the course of the study.CONCLUSION: CPOE implementation did not negatively affect time available for direct patient care. Workflow fragmentation decreased, which is likely beneficial. |
DOI | 10.1200/JOP.2012.000655 |
Alternate Journal | J Oncol Pract |
PubMed ID | 23942926 |
PubMed Central ID | PMC3710176 |
Grant List | K23 AI091623 / AI / NIAID NIH HHS / United States P30 CA046592 / CA / NCI NIH HHS / United States UL1RR024986 / RR / NCRR NIH HHS / United States |
Research reported in this publication was supported by the National Cancer Institutes of
Health under Award Number P30CA046592. The content is solely the responsibility
of the authors and does not necessarily represent the official views of the
National Institutes of Health.
Research reported in this publication was supported by the National Cancer Institutes of
Health under Award Number P30CA046592 by the use of the following Cancer Center
Shared Resource(s): Biostatistics, Analytics & Bioinformatics; Flow Cytometry;
Transgenic Animal Models; Tissue and Molecular Pathology; Structure & Drug
Screening; Cell & Tissue Imaging; Experimental Irradiation; Preclinical
Imaging & Computational Analysis; Health Communications; Immune Monitoring;
Pharmacokinetics)
Copyright © Cancer Center Informatics-2011 Regents of the University of Michigan