Instead, users must use an API library to manually import data into the system.
In our study we integrated our Hadoop-pipeline in CloudGene and extended the platform with functions to import data from the central file system at UPPMAX into HDFS on the private cloud (see Figure 6).
When PHRs allow iterative communication between patients and providers, export data to and import data from other information systems, and transform clinical measurements and observations into meaningful and actionable information, fundamental changes in health care delivery and self-care by patients are possible.
Conceptually, importing data from the Cardiology system into the i2b2 repository would be similar to integrating these data within the existing clinical data warehouse, although integrating with our existing data warehouse allows for greater flexibility, since it does not limit us to using the i2b2 data model.
After importing these data into the system, a match is made manually between the recent DICOM data and the (low-dose) cone-beam CT data.
The aim is to allow users to import their medical data into the system via an API (although Clark didn't pull in any actual medical records during the hack because he hasn't paid for HIPAA compliance at this pre-MVP stage).
That's slowly changing, though, and Agrilyst can import data from the most popular sensor system in indoor agriculture (think CO2 and humidity levels).
The fluorescence spectrum of Cy5.5 was firstly imported to the system library.
Two common data import methods include importing data from the local file system or via a URL.
Examination of import data compiled using the ANZSIC classification system, as opposed to the HTISC, showed similar increases for comparable food and beverage products across the same time period.
At the very first step, users need to prepare data to import to system.
