Yo Seop Woo1, Young Dae Kwon2, Mi-Kyung Lee2, Young Joo Cha2,3, Hye Ryoun Kim2,3. 1. Department of Information & Telecomm, University of Incheon, Incheon, Korea. 2. Department of Laboratory Medicine, Chung-Ang University College of Medicine, Seoul, Korea. 3. Medical Device Clinical Trials Center, Chung-Ang University College of Medicine, Seoul, Korea.
Abstract
BACKGROUND: Our goal was to enhance the productivity of phlebotomists and reduce outpatient wait times. Here, we aimed to develop a computer simulation program in which resources would be shifted from the laboratory to assist with phlebotomy. We evaluated the efficacy of computer simulation approaches for phlebotomy wait time and provide phlebotomy help time. METHODS: We evaluated the performance of the following three approaches: no helping system (NHS), the conventional assistance system (CAS), and the computer simulated helping system (CSHS). The CSHS predicted the phlebotomy waiting times based on computer simulation approaches, decided the assist times, and sounded an alarm. RESULTS: The wait time for the NHS was significantly longer than that of the CAS and the CSHS (P < 0.05). We divided the wait time into the three parts: <5 min, 5-10 min, and >10 min. Significant differences between the three systems were detected (P < 0.05). The phlebotomy computer simulation system significantly decreased the help time of the phlebotomists (CAS was 93.3 ± 19.7 min vs. CSHS was 79.5 ± 17.7 min, P = 0.03). CONCLUSION: We designed a computer-based predicted alarm system. This system could effectively decrease help time for phlebotomists and outpatients phlebotomy wait times.
BACKGROUND: Our goal was to enhance the productivity of phlebotomists and reduce outpatient wait times. Here, we aimed to develop a computer simulation program in which resources would be shifted from the laboratory to assist with phlebotomy. We evaluated the efficacy of computer simulation approaches for phlebotomy wait time and provide phlebotomy help time. METHODS: We evaluated the performance of the following three approaches: no helping system (NHS), the conventional assistance system (CAS), and the computer simulated helping system (CSHS). The CSHS predicted the phlebotomy waiting times based on computer simulation approaches, decided the assist times, and sounded an alarm. RESULTS: The wait time for the NHS was significantly longer than that of the CAS and the CSHS (P < 0.05). We divided the wait time into the three parts: <5 min, 5-10 min, and >10 min. Significant differences between the three systems were detected (P < 0.05). The phlebotomy computer simulation system significantly decreased the help time of the phlebotomists (CAS was 93.3 ± 19.7 min vs. CSHS was 79.5 ± 17.7 min, P = 0.03). CONCLUSION: We designed a computer-based predicted alarm system. This system could effectively decrease help time for phlebotomists and outpatients phlebotomy wait times.
Authors: Siebren Groothuis; Henk M J Goldschmidt; Esther J Drupsteen; Jules C M de Vries; Arie Hasman; Godefridus G van Merode Journal: Ann Clin Biochem Date: 2002-05 Impact factor: 2.057
Authors: Stacy E F Melanson; Ellen M Goonan; Margaret M Lobo; Jonathan M Baum; José D Paredes; Katherine S Santos; Michael L Gustafson; Milenko J Tanasijevic Journal: Am J Clin Pathol Date: 2009-12 Impact factor: 2.493