Simulation to assess intelligent video camera system's actual production performance during chemotherapy preparation. Issue 3 (July 2019)
- Record Type:
- Journal Article
- Title:
- Simulation to assess intelligent video camera system's actual production performance during chemotherapy preparation. Issue 3 (July 2019)
- Main Title:
- Simulation to assess intelligent video camera system's actual production performance during chemotherapy preparation
- Authors:
- Laplace, Marie
Lefranc, Benoit
Dalifard, Benoit - Abstract:
- Abstract: Introduction: DRUGCAM is a new approach to control the chemotherapy preparations with an intelligent video system to assist the pharmacy technician during compounding process. This tool is able to control all of our production (except for colored and dark anticancer drugs) with an in-process control and a posteriori inspection. We first aimed to estimate DRUGCAM's performance in real-life production by simulation and to compare it with the double human control. Furthermore, factors influencing the performance of both controls were observed and preventive solutions will be envisaged to optimize our activity. Equipment and methods: Each day during 30 days, between 11:30 AM and 12:30 AM, we controlled 20 different volumes contained in syringes, in real production conditions (clean room) both by human visual inspection then by automated video control. Working conditions have been observed and tasks disturbances and interruptions have been noted. A set of information has been collected: the syringe's model, the volume of product and the disturbances. A statistical analysis has been conducted to interpret results. Results: With 24 errors throughout the 600 volume controls, the error rate for the visual human control is 4%. Seven checked volumes were superior to the expected volume (overdosing) and 17 were inferior (underdosing). The error rate for DRUGCAM is 0.17%. Among the disturbance factors, the type of syringe used is responsible for errors: 13 errors have beenAbstract: Introduction: DRUGCAM is a new approach to control the chemotherapy preparations with an intelligent video system to assist the pharmacy technician during compounding process. This tool is able to control all of our production (except for colored and dark anticancer drugs) with an in-process control and a posteriori inspection. We first aimed to estimate DRUGCAM's performance in real-life production by simulation and to compare it with the double human control. Furthermore, factors influencing the performance of both controls were observed and preventive solutions will be envisaged to optimize our activity. Equipment and methods: Each day during 30 days, between 11:30 AM and 12:30 AM, we controlled 20 different volumes contained in syringes, in real production conditions (clean room) both by human visual inspection then by automated video control. Working conditions have been observed and tasks disturbances and interruptions have been noted. A set of information has been collected: the syringe's model, the volume of product and the disturbances. A statistical analysis has been conducted to interpret results. Results: With 24 errors throughout the 600 volume controls, the error rate for the visual human control is 4%. Seven checked volumes were superior to the expected volume (overdosing) and 17 were inferior (underdosing). The error rate for DRUGCAM is 0.17%. Among the disturbance factors, the type of syringe used is responsible for errors: 13 errors have been noticed with the 1 mL syringe and 8 errors with the 10 mL syringe which represent higher error rates than with the other syringes. The "permanent" staff members of the unit present an error rate of 5.3%, more important than the "non-permanent" ones (1.8%). More mistakes are done in the presence of a pharmacist than in its absence (13% against 4%). Conclusion: Our studies justify the superiority of the DRUGCAM system toward double human control. Moreover, the double human control could possibly be disturbed by external factors whereas DRUGCAM is not. Using DRUGCAM is to be considered to establish preventive measures and reduce tasks interruptions or disturbance factors thanks to video analysis. … (more)
- Is Part Of:
- European journal of oncology pharmacy. Volume 2:Issue 3(2019)
- Journal:
- European journal of oncology pharmacy
- Issue:
- Volume 2:Issue 3(2019)
- Issue Display:
- Volume 2, Issue 3 (2019)
- Year:
- 2019
- Volume:
- 2
- Issue:
- 3
- Issue Sort Value:
- 2019-0002-0003-0000
- Page Start:
- Page End:
- Publication Date:
- 2019-07
- Subjects:
- chemotherapy -- control method -- DRUGCAM -- oncology -- quality control -- simulation -- tasks interruption
Cancer -- Chemotherapy -- Periodicals
Cancer -- Chemotherapy
Periodicals
616.994061 - Journal URLs:
- http://www.esop.li/ejop.php ↗
http://journals.lww.com/pages/default.aspx ↗
http://bibpurl.oclc.org/web/49883 ↗
http://wip.ppme.eu/Publications/EJOP/ ↗ - DOI:
- 10.1097/OP9.0000000000000017 ↗
- Languages:
- English
- ISSNs:
- 1783-3914
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 17761.xml