Abstract
Our study aim to understand complete picture and issues on medical safety and investigate preventive measures for medical errors by analyzing data captured by bar code system and entered by Personal Digital Assistance. Barcode administration system named Point-of-Act-System was designed to capture every activity at the bed sides. Complete activity data including injection, treatment and other nurses’ activity and warning data showing mistakes on injections were used for our analyses. We described the data and analyze statistically by accumulating data by hour to find potentially risky time and understand relationship between business and errors. The warning rate as a whole was 6.1% in average. The result showed there was a negative correlation between number of injections and injection warning rate (-0.48, p<0.05). Warning rate was relatively low in the hours that numbers of administrating injections are high. Bar code administration system is quite effective way not only to prevent medical error at point of care but also improve patient safety with analyses of data captured by them.
Chapter PDF
Similar content being viewed by others
References
Keohane, C.A., Bane, A.D., Featherstone, E., Hayes, J., Woolf, S., Hurley, A., Bates, D.W., Gandhi, T.K., Poon, E.G.: Quantifying Nursing Workflow in Medication Administration. The Journal of Nursing Administration 38, 19–26 (2008)
Shane, R.: Current status of administration of medicines. Am. J. Health-Syst. Pharm. 65, 62–68 (2009)
Sakowski, J., Leonard, T., Colburn, S., Michaelsen, B., Schiro, T., Schneider, J., Newman, J.M.: Using a Bar-Coded Medication Administration System to Prevent Medication Errors. Am. J. Health-Syst. Pharm. 62, 2619–2625 (2005)
Akiyama, M.: Migration of Japanese Health care enterprise from a financial to integrated management: strategy and architecture. Stud. Health Technol. Inform. 10, 715–718 (2001)
Akiyama, M.: Risk Management and Measuring Productivity with POAS- Point of Act System. A medical information system as ERP (Enterprise Resource Planning) for Hospital Management. Methods Inf. Med. 46, 686–693 (2007)
Akiyama, M., Kondo, T.: Risk Management and Measuring Productivity with POAS - Point of Act System. Stud. Health Technol. Inform. 129, 208–212 (2007)
Fitzpatrick, J.J., Stone, P.W., Walker, P.H.: Annual Review of Nursing Research. Focus on Patient Safety 24
Tissot, E., Cornette, C., Demoly, P., Jaquet, M., Barale, F., Capalleier, G.: Medication errors at the administration stage in an intensive care unit. Intensive Care Med. 25, 353–359 (1999)
Dean, B.S., Allan, E.L., Barber, N.D., Barker, K.N.: Comparison of medication errors in an American and a British hospital. Am. J. Health Syst. Pharm. 52, 2543–2549 (1995)
Larrabee, S., Brown, M.: Recognizing the institutional benefits of barcode point-of-care technology. Joint Comm. J. Qual. Saf. 29, 345–353, 295–301 (2003)
Bates, D.W., Pappius, E., Kuperman, G.J., Sittig, D., Burstin, H., Fairchild, D., Brennan, T.A., Teich, J.M.: Using information systems to measure and improve quality. International Journal of Medical Informatics 53, 115–124 (1999)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 IFIP
About this paper
Cite this paper
Akiyama, M., Koshio, A., Kaihotsu, N. (2010). Analysis on Data Captured by the Barcode Medication Administration System with PDA for Reducing Medical Error at Point of Care in Japanese Red Cross Kochi Hospital. In: Takeda, H. (eds) E-Health. E-Health 2010. IFIP Advances in Information and Communication Technology, vol 335. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15515-4_13
Download citation
DOI: https://doi.org/10.1007/978-3-642-15515-4_13
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-15514-7
Online ISBN: 978-3-642-15515-4
eBook Packages: Computer ScienceComputer Science (R0)