At present, hospitals in our country have basically established the HIS system, which manages registration,
treatment, and charge, among many others, of patients. During treatment, patients need to use medical devices repeatedly
to acquire all sorts of inspection data. Currently, the output data of the medical devices are often manually input into information
system, which is easy to get wrong or easy to cause mismatches between inspection reports and patients. For
some small hospitals of which information construction is still relatively weak, the information generated by the devices is
still presented in the form of paper reports. When doctors or patients want to have access to the data at a given time again,
they can only look at the paper files. Data integration between medical devices has long been a difficult problem for the
medical information system, because the data from medical devices lack mandatory unified global standards and have
outstanding heterogeneity of devices. In order to protect their own interests, manufacturers use special protocols, etc., thus
causing medical devices to still be the "lonely island" of hospital information system. Besides, unfocused application of
the data will lead to failure to achieve a reasonable distribution of medical resources. With the deepening of IT construction
in hospitals, medical information systems will be bound to develop toward mobile applications, intelligent analysis,
and interconnection and interworking, on the premise that there is an effective medical device integration (MDI) technology.
To this end, this paper presents a MDI model based on the Internet of Things (IoT). Through abstract classification,
this model is able to extract the common characteristics of the devices, resolve the heterogeneous differences between
them, and employ a unified protocol to integrate data between devices. And by the IoT technology, it realizes interconnection
network of devices and conducts associate matching between the data and the inspection with the terminal device in a
timely manner.
Head and neck cancers in France: an analysis of the hospital medical information system (PMSI) database
