A preliminary study on the use of clinical care classification in nursing documentation data sets.

This study analyzed and organized the content coverage of the clinical care classification (CCC) system to represent nursing record data in a medical center in Taiwan. The nursing care plan was analyzed using the process of knowledge discovery in the data set. The nursing documentation was mapped based on the full list of nursing diagnoses and interventions available using the CCC system.

Implementation and Evaluation the Effectiveness of the Bar-coded Medication Administration System in a Medical Center.

The aim of study was to implement and evaluate the effectiveness of the BCMA systems in medical center. A convenience sample of totally 48 medical-surgical units and 800 staff nurses were recruited to evaluate the systems in 2010. The nurses' perception of the BCMA/eMAR systems were accorded with clinical procedures, guarded the accuracy of patient identification and medication administration processes, and greater than 70% of nurses were willing to use the BCMA/eMAR systems.

Capability of using clinical care classification system to represent nursing practice in acute setting in taiwan.

This study examines the capability of the Clinical Care Classification (CCC) system to represent nursing record data in a medical center in Taiwan. Nursing care records were analyzed using the process of knowledge discovery in data sets. The study data set included all the nursing care plan records from December 1998 to October 2008, totaling 2,060,214 care plan documentation entries.

Establishing and evaluating bar-code technology in blood sampling system: a model based on human centered human-centered design method.

This study intended to use a human-centered design study method to develop a bar-code technology in blood sampling process. By using the multilevel analysis to gather the information, the bar-code technology has been constructed to identify the patient's identification, simplify the work process, and prevent medical error rates. A Technology Acceptance Model questionnaire was developed to assess the effectiveness of system and the data of patient's identification and sample errors were collected daily.