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Non-connected medical devices, non-exploited data

Publié le 12/04/2019

Non-connected medical devices, non-exploited data


This implies that a large part of the medical data these devices are handling and measuring is either put into the computerised records manually, or simply isn’t there because it isn’t integrated automatically.

The integration needs will also depend on the healthcare departments and the devices they want to connect. When a measurement is taken occasionally, like blood pressure, the data is integrated more easily: it is only collected once or twice a day. When a patient is being treated over a longer period, in the recovery or resuscitation room for example, the data is collected much more frequently. Manually putting the data into the electronic records is therefore more of a constraint: it will be harder for the physicians to access the sets of data in real time.

“The problem with medical devices’ interoperability is seen with a large portion of vendors, manufacturers and systems which govern this sector. In this industry, we have to cope with several manufacturers. It’s difficult to standardise and harmonise the terminology to create interoperability semantics”
Tim Gee, Influencer, Director and Founder of Medical Connectivity Consulting, USA

connected medical devices

The problem is twofold: both in the lack of biomedical devices’ interoperability with each other and the diversity of solutions for electronic records in hospitals.

The real revolution will be setting up biomedical devices’ interoperability. By connecting healthcare devices, teams will be able to give and take data more efficiently. Thus, medical professionals’ work will be made easier and patient care improved. More broadly speaking, tomorrow’s medicine will see connected medical devices on every level (in healthcare organisations or at patients’ homes) to ensure they comply better and lead to better treatment of different pathologies.

“Today it’s becoming necessary to connect biomedical devices to make physicians’ work easier and aid decision-making: collecting, tracking, making available, storing and finally archiving the data”
Stéphane Kirche, Head of Biomedical Engineering in Nord-Saône Loire Bresse Morvan

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