A clinical nutritional information system with personalized nutrition assessment.

BACKGROUND AND OBJECTIVE: Traditional nutrition evaluations not only require the use of numerous tables and lists to provide sufficient recommendations for patients' diets but are also very time-consuming due to cross-referencing and calculations. METHODS: To personalize patient assessments, this study implemented a Clinical Nutritional Information System (CNIS) to help hospital dietitians perform their daily work more effectively in terms of time management and paper work. The CNIS mainly targets in-patients who require cancer-nutrition counselling. The development of the CNIS occurred in three phases. Phase 1 included system design and implementation based on the Nutrition Care Process and Model (NCPM) and the Patient Nutrition Care Process. Phase 2 involved a survey to characterize the efficiency, quality and accuracy of the CNIS. In Phase 3, a second survey was conducted to determine how well dietitians had adapted to the system and the extent of improvement in efficiency after the CNIS had been available online for three years. RESULTS: The work time requirements decreased by approximately 58% with the assistance of the CNIS. Of the dietitians who used the CNIS, 95% reported satisfaction, with 91.66% indicating that the CNIS was really helpful in their work. However, some shortcomings were also evident according to the results. CONCLUSIONS: Dietitians favoured the standardization of nutritional intervention and monitoring. The CNIS meets the needs of dietitians by increasing the quality of nutritional interventions by providing accurate calculations and cross-referencing for information regarding patients' conditions, with the benefit of decreasing the processing time, such as handwritten documentation. In addition, the CNIS also helps dietitians statistically analyse each patient's personal nutritional needs to achieve nutritional improvement.

A Multi-Constraint Scheme with Authorized Mechanism for the Patient Safety.

Many research works have attempted to introduce passive RFID technology into medical systems to reduce medical errors. However, most of these proposed works focused on identifying patients and objects. If an RFID based medical system is only good for identifying patients and medical objects but not capable of halting any medical process immediately, then it is not possible to prevent medical errors from happening. Our research focuses on a mechanism to detect and to avoid medical harm before it occurs to patients. In this paper, we propose to incorporate multiple-constraints into the authorization scheme and used this scheme as a basis for implementing a medical management system avoiding medical errors to assist medical staff. Specifically, our scheme ensures that a medical operation is if and only if enabled when the constraints are being satisfied that an "identified patient" is being treated by a "certified medical staff member" within an "authorized area". In practical environments, our authorization scheme can be applied to various healthcare applications, and we develop a prototype system and test it in three applications: X-ray control, specimen collection, and blood transfusion management. The experimental results show that the system can be used to enable X-ray when the X-ray is in authorized location and operated by authorized operator. For the specimen collection and blood transfusion, the logs showing which medical staff has done specimen or blood transfusion on which patient at authorized location are correctly recorded into Hospital Information System (HIS). The locating process can be performed within 10 to 20 seconds, and the locating error is less than 2 meters.