Solutions. Cases

DVI2USB Performs Vital Signs Monitoring

Image capture network connectivity has enabled various advanced approaches. This allows delivering cost-effective healthcare services. Remote guidance, diagnostics, teleoperations – these are just a few of methods where remote medical equipment monitoring and Epiphan’s data broadcasting appliances can be successfully applied. These solutions enable medical specialists to view and analyze the information no matter where they are physically located. Remote image monitoring efficiently serves patients wherever they are.

Patients with chronic diseases should be permanently monitored and their vital signs (e.g. blood pressure) need to be reported to a medical centre. Such kind of services will be especially useful for the patients with diabetes for reporting their blood sugar readings. The system transmitting data between a healthcare provider and a patient should not require a high level of expertise. The process is outsourced while an operator in the medical centre monitors the incoming measurements.

The technology is now far more powerful than we initially imagined. There are real and powerful benefits from involving the patient in the process. When an Epiphan’s frame grabber DVI2USB is connected to the vital signs measuring equipment through the VGA or DVI output, it is enabled to send images from the display to the Ethernet. When the readings are taken, this data is monitored and processed in the monitoring health care centre through the Internet. Therefore it is possible to start solving the problem at early stage with the help of patient self-management during medical equipment monitoring. Medical staff will be alerted when the data indicates their intervention is needed. This approach reduces the need for office visits and hospitalizations. The remote equipment monitoring success depends both on the equipment reliability and performance. Lghtweight and cost-effective DVI2USB frame grabber breaks new ground ensuring fast and secure broadcasting of the patient data.

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