title: Analysis of data captured by barcode medication administration system using a PDA; aiming at reducing medication errors at point of care in Japanese Red Cross Kochi Hospital.
abstract: Preventing medication errors by using a barcode administration system has become prevalent in patient safety. Analyses of data captured by bar code systems provide opportunities to understand the actual situation at the point of care. Our study aims at understanding issues of medication safety as well as investigating measures taken to prevent medication accidents, by analyzing data captured by a bar code system and a personal digital assistant (PDA). The barcode administration system named Point-of-Act-System implemented in Japanese Red Cross Kochi Hospital was designed to capture every activity at the bedside. Complete activity data captured by the system, which included injections, treatment and other nursing activity, as well as injection warning data, were used for our analyses. We describe the data and analyze them statistically to find potentially times of risk and to ascertain the relation between busyness and error. The injection warning rate as a whole was 6.1% on average. The results showed there was a negative correlation between the number of injections given and the injection warning rate (-0.48, p<0.05). The warning rate was low during the hours when a large number of injections were administered. The data also showed that a variation in activities being performed has a negative effect on medication safety. A bar code administration system is quite an effective way not only to prevent medication error at point of care, but also to improve patient safety through analyses of data captured by such a system.
authors.affiliation: Todai Policy Alternatives Research Institute, The University of Tokyo, Tokyo, Japan. makiyama@pp.u-tokyo.ac.jp
authors.forename: Masanori
authors.initials: M
authors.lastname: Akiyama
authors.forename: Atsushi
authors.initials: A
authors.lastname: Koshio
authors.forename: Nobuyuki
authors.initials: N
authors.lastname: Kaihotsu
mesh_terms: D016303:Clinical Pharmacy Information Systems / Q000458:organization & administration*; D034201:Computers, Handheld / Q000706:statistics & numerical data*; D006801:Humans; D007564:Japan; D019300:Medical Errors / Q000517:prevention & control*; D008510:Medication Systems, Hospital / Q000458:organization & administration*; D019095:Point-of-Care Systems / Q000458:organization & administration*; D017751:Safety Management / Q000458:organization & administration*