Method and system for realizing conversion from multi-source heterogeneous data to FHIR standard
A multi-source heterogeneous data and data technology, applied in the field of data transformation, can solve the problems of large differences in data models, inconsistent standards, time-consuming and labor-intensive, etc., to achieve the effect of improving efficiency and reducing workload
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Embodiment 1
[0033] combined with figure 1 , this embodiment proposes a method for converting multi-source heterogeneous data to the FHIR standard, and the implementation process includes:
[0034] (1) Define general data FHIR standardization rules.
[0035] When defining general data FHIR standardization rules, specifically define field-to-field mapping, conditional mapping, single-field-to-table mapping, list-to-single-field mapping, and list-to-object type mapping from different types of databases to the FHIR standard library.
[0036] When defining general data FHIR standardization rules, it also supports custom extension rules to deal with FHIR standardization of complex types of data structures.
[0037] (2) The FHIR standard library receives data from different types of databases and different structures.
[0038] (3) Based on the defined FHIR standardization rules, the data received by the FHIR standard library is managed into the FHIR standard format.
[0039] Based on the defi...
Embodiment 2
[0042] combined with figure 2 , this embodiment proposes a system for realizing the conversion of multi-source heterogeneous data to the FHIR standard, and its structure includes a rule definition module 1 , a data receiving module 2 , a data processing module 3 , and a data opening module 4 .
[0043] Rule definition module 1 is used to define common data FHIR standardization rules. When the rule definition module 1 defines general data FHIR standardization rules, it specifically defines the mapping from different types of databases to the FHIR standard library from field to field, conditional mapping, single field to table mapping, list to single field mapping, list to object type map.
[0044] Rule definition module 1 also supports custom extension rules to deal with the FHIR standardization of complex types of data structures.
[0045] The data receiving module 2 is used to receive data from different types of databases and different structures by using the FHIR standar...
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