Medical IoT Data Integration is our core solution, utilizing advanced medical-grade computers as IoT gateways to automatically transmit clinical measurement data to hospital HIS/NIS systems. By streamlining patient data workflows, we help healthcare facilities reduce manual entry errors and enhance operational efficiency.
The COVID-19 pandemic highlighted an urgent need to reduce contact between patients and staff. Previously, clinicians recorded measurements like height and weight manually. Unfortunately, this traditional method often led to frequent human errors. Furthermore, manual entry increases data transfer risks when staff save information to EMRs. To solve this, the Internet of Medical Things (IoMT) now offers a better approach. By using small sensors and embedded computers, the system collects physiological parameters automatically. As a result, this modern method reduces the burden on nurses and ensures that the system captures patient data reliably.

The solution is comprised of a 10” medical touch panel PC, which is mounted on the device or wall via the stand.
Portwell boasts strong research and development capabilities, offering a comprehensive range of products tailored for medical cart computers.
These include the IoT Gateway, Entry Level AIO, Intel® Core™ Box PC, Intel® Core™ Panel PC, Expandable Box PC, and Monitor. All of these products meet medical-grade standards, ensuring optimal quality for healthcare environments.
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.
Portwell has successfully installed this smart measurement system in numerous medical centers and regional hospitals across Taiwan. The MEDS-P1002 computer acts as a vital IoT gateway, which enables seamless data collection in wards, including children’s and internal medicine units. Specifically, it assists nursing staff by accurately capturing patient weight, height, and blood pressure. During the initial phase, the system verifies patient identity via healthcare-insurance cards, personal IDs, or barcode scanning. Afterward, the system automatically uploads the measurements to the hospital’s database. Consequently, this workflow minimizes the manual workload for nurses, and it allows them to dedicate more time to direct patient interaction.
In summary, this solution significantly reduces manual entry errors, and it improves the overall quality of clinical care.