In the epidemic of COVID-19, it is more important to reduce unnecessary contact between patients and medical staff in hospital. In the past, the physiological measurement such as height, weight or even blood pressure, the measured data are hand writing or typing which can cause the errors during manipulation of data. In addition to the risk of errors, which is happened to data transfer or saving to EMR, it is also a work load for nursing staff. In the era of internet of medical things (IoMT), a large number of physiological parameters are collected simply using small sensors and embedded computers; it not only reduces the workload for nursing staff, but also collects the data of patients in a reliable and secured way.
To meet the needs of different users, the in-house software has user-friendly screen layout, which has stepwise design to represent the current step, and will guide user to do next step to complete operation for this measurement. The warm voice reminders strengthen the interaction between patiens and system.
MEDS-P1002 is a medical grade touch computer suitable for not only the human-machine interface of the smart measurement system, but also hospital bedside information system.
Its low-power, low-noise and thin design with the features of fan-less as well as a plastic case that is resistant to alcohol wiping, waterproof and dust-proof design make it suitable for medical applications.
It complies with EN 60601-1, CE/FCC Class B and other conditions ensure that the safety and stability in the medical field.
MEDWEL has successfully installed the smart measurement system in couples of medical center and regional hospitals in Taiwan. The MEDS-P1002 computer as a gateway of the solution has deployed in the wards such as children’s wards, internal medicine wards and others to assist nursing staff on measuring the data of patient’s weight, height and blood pressure and so on. Before measurement, the system identities patient via healthcare-insurance card, personal ID card or barcode on wrist of patient. After collecting the physiological data, the system will upload the data automatically to the hospital database. This solution reduces the workload for busy nursing staff to increase the time focused on interaction between nursing staff and patients.
In summary, this solution declines the likelihood of typo errors by nursing staff as well as improve the quality of caring process in clinical.
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