測量及記錄病人之輸入／排出量是呈現護理品質之重要工作，但是臨床上測量及記錄病人之輸入／排出量過程繁瑣且花費護理人員很多時間。本研究之目的為應用資通訊技術建置病人之輸入／排出量測量及記錄系統。本研究的方法包括建構病人之輸入／排出量測量及記錄系統與測試，其中系統架構涵蓋行動磅秤主機系統、具有近場通訊技術（Near Field Communication, NFC）功能行動裝置、NFC標籤。系統測試則包含測量之正確性與重複性之信度，方法乃以9種不同重量之標準砝碼依操作過程作測試，每種砝碼各測試10次，每次間隔3分鐘作測量。即當醫師在醫令系統上開立記錄輸入／排出量醫囑時，第一次護理人員利用行動裝置將病人資訊及量測物品的資料寫入到NFC標籤內，並將NFC標籤粘貼或繫於導管或收集瓶上。每次測量時只要將測量物品放入電子磅秤上，護理人員再將行動裝置與測量物品上的NFC標籤接觸，取得病人資料、量測種類資訊及上一次量測數值及時間，並開啓藍芽裝置，擷取量測物品目前的測量值，視需要決定是否把測量值直接存於護理作業系統，或是與上一次測量值作相減運算後存到護理作業系統。研究結果顯示在正確性方面，與標準砝碼作差異性比較，共收集90筆資料，顯示差異平均值和差異標準差為0.086±0.086。在重覆性之信度檢測上，採用遞增方式每隔3分鐘測量10g、20g、50g、100g、150g、200g、300g、500g、700g的砝碼各10次，所得平均值及標準差各為：9.94±0.055、19.86±0.054、49.88±0.084、99.82±0.084、149.9±0.071、200.2±0.045、299.88±0.084、499.98±0.084、699.94±0.055。變異數各為0.55%、0.28%、0.17%、0.08%、0.05%、0.02%、0.03%、0.02%、0.01%。本研究建置病人之輸入／排出量測量及記錄系統，以標準砝碼測試正確性或重覆性，誤差值均小於等於0.2克，顯示此行動磅秤是可以有效且精確測量出待測物品的重量，未來可應用在臨床病人之輸入／排出量測量及記錄。

Measuring and recording the intake and output quantity of patients is essential for representing the quality of nursing care but the process is complicated and time-consuming. In this study, we established an intake-output measuring and automatic recording system by applying the technology of near field communication (NFC).We proposed an automated healthcare architecture using NFC-enabled mobile phones wirelessly linked to the nursing information system. The host system architecture includes (1) Electronic scale system including Bluetooth module and microcontroller unit (MCU) control module; (2) NFC-enabled mobile phones; (3) NFC tag. The operating procedures include examination of accuracy and reliability by means of using 9 different standard weights, ten times for each weight and 3 minutes duration between each measurement. Which means when the doctor launched the intake and output record on the system, the nurse would enter the patient's ID information and measurement result into the NFC tag by NFC-enabled mobile phone and attach the tag to the conduit or gathering bottle. During each measurement, put the device on the electronic scale and connect the mobile phone and NFC tag on the device in order to get the patient 's information, measurement result and last measurement data. Afterwards, connect the device via Bluetooth and get the measurement result to see if it 's necessary to store the data in the nursing system. Moreover, store the revised data after comparing the result with last measurement and do some calculation. Preliminary results showed that mean difference and standard deviation of the system was 0.086 ± 0.086. Reliability tests on 9 standard weights of 10g, 20g, 50g, 100g, 150g, 200g, 300g, 500g and 700g, each 10 repeats, showed means and standard deviations of 9.94 ± 0.055, 19.86 ± 0.054, 49.88 ± 0.084, 99.82 ± 0.084, 149.9 ± 0.071, 200.2 ± 0.045, 299.88 ± 0.084, 499.98 ± 0.084 and 699.94 ± 0.055. The variances were 0.55%, 0.28%, 0.17%, 0.08%, 0.05%, 0.02%, 0.03%, 0.02% and 0.01%. The accuracy of the device is acceptable and appropriate for clinical application.