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.
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.
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