Visiting in disguise: Analysis of inpatient companions in the time of COVID-19.

BACKGROUND: As outbreak of COVID-19 infection, on April 3, 2020, it is stipulated that the number of inpatient companions is limited to one in Taiwan. All companions are required to register their real personal data with 14 days of travel history, occupation, contact history, and cluster history. We would like to evaluate the impact of the new regulations to the accompanying and visiting culture in Taiwan, via analyzing the appearance and characteristics of inpatient companions in this period. METHODS: Using intelligent technology, we designed a novel system in managing the inpatient companions (InPatients Companions Management System [IPCMS]), and the IPCMS was used to collect data about characteristics of inpatients and companions between April 27 and May 3, 2020. The database is built using MySQL software. Microsoft Excel 2016 and SPSS version 20.0 statistical software were used for data analysis, including the basic data of the companions, differential analysis of companions' gender, person-days and cumulative time, differential analysis of accompaniment-patient relationship, and frequency of accompaniment and cumulative hours. RESULTS: During study period, daily inpatient admissions ranged from 2242 to 2514, the number of companions per day ranged from 2048 to 2293, and the number of companions for one inpatient is 1 to 9 per day, with an average of 1.20 to 1.26. The companions were mostly family members, and most of them were the inpatients' children (32.9%), and spouse (26.13%). More females than males were noted in all categories of companionship with statistical significance. CONCLUSION: The data obtained in this study could be an important basis for the transformation and reform of the companions culture in Taiwan's hospitals and will also provide a glimpse into the attitudes and culture of companions who have long been ignorant and neglected. The experience gained in our IPCMS could also serve as a reference for other hospitals in Taiwan and worldwide.

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. The result showed that 75.45% of the documented diagnosis terms can be mapped using the CCC system. A total of 21 established nursing diagnoses were recommended for inclusion in the CCC system. The results also showed that 30.72% of assessment/monitor tasks and 31.16% of care/perform tasks were provided by nursing professionals, whereas manage/refer actions accounted for 15.36% of the tasks involved in nursing care. The results showed that the CCC system is a suitable clinical information system for the majority of nursing care documentation, and is useful for determining the patterns in nursing practices.

Development of a computer-aided clinical patient education system to provide appropriate individual nursing care for psychiatric patients.

A lot of researches have proven that health education can help patients to maintain and improve their health. And it also shortens the time staying in hospital to save medication resource. Because the patients are willing to get healthcare knowledge to enhance the ability of self-care, they pay more attention to the health education. In Taiwan, the clinical nurses play an important role in patient education, and the health education take most time in their daily work. Such work includes the collection, production and delivery of education materials. To generate the correct and customized health education material is the key of success of patient education. In this study, we established a computer-aided health education contents generating system for psychiatric patients by integrating the databases for disease, medicine and nursing knowledge to assist nurse generating the customized health education document suitable for different patients. This system was evaluated by clinical nurses in usability and feasibility. This system is helpful for nurse to carry out the clinical health education to patients and further to encourage patient to pay attention to self-health.

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. The average scores of 8 items users' perceived ease of use was 25.21(3.72), 9 items users' perceived usefulness was 28.53(5.00), and 14 items task-technology fit was 52.24(7.09), the rate of patient identification error and samples with order cancelled were down to zero, however, new errors were generated after the new system deployed; which were the position of barcode stickers on the sample tubes. Overall, more than half of nurses (62.5%) were willing to use the new system.

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. Results show that 75.42% of the documented diagnosis terms could be mapped using the CCC system. A total of 21 established nursing diagnoses were recommended to be added into the CCC system. Results show that one-third of the assessment and care tasks were provided by nursing professionals. This study shows that the CCC system is useful for identifying patterns in nursing practices and can be used to construct a nursing database in the acute setting.

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.