Generalized distributed framework for parallel search and retrieval of unstructured and structured patient data across zones with hierarchical ranking

1. A method comprising:

ingesting a collection of structured and unstructured patient data, the patient data comprising a plurality of modalities, the patient data comprising a longitudinal clinical history of one or more patients, the patient data from a plurality of data sources;

populating a plurality of data models based on the ingested patient data to provide for parallel search, retrieval, and hierarchical ranking of the patient data from the plurality of data sources, each data model comprising an abstract data type having a primary key configured to uniquely designate a row or a document, a search key configured to separately designate a row or a document, a grouping key configured to count number of matches to a query, and an untokenized key configured to preserve one or more predetermined fields of the document definition without tokenization, wherein the plurality of data models comprise one or more domain-specific subclasses;

storing the plurality of data models as one or more indexed documents in an index, each data model being associated with one or more schemas, each data model representing patient data according to one or more data types within the respective patient data, and each data model conforming to at least one of the one or more schemas;

processing a search request against the index, the search request comprising one or more attribute of the abstract data type, wherein the search request is automatically expanded to retrieve one or more of the plurality of data models based on one or more additional attributes associated with the one or more attribute; and

providing a search result by collecting one or more shards based on the search request.

2. The method of claim 1 , further comprising outputting a result of the search request.

3. The method of claim 2 , wherein the output of the search request is sorted based on quality of match.

4. The method of claim 1 , wherein populating the plurality of data models comprises generating and merging a data model for ingested patient data.

5. The method of claim 1 , further comprising:

outputting the data models in a time series.

6. The method of claim 1 , the abstract data type reflecting a class hierarchy.

7. A system comprising:

a computing node comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a processor of the computing node to cause the processor to perform a method comprising:

ingesting a collection of structured and unstructured patient data, the patient data comprising a plurality of modalities, the patient data comprising a longitudinal clinical history of one or more patients, the patient data from a plurality of data sources;

populating a plurality of data models based on the ingested patient data to provide for parallel search, retrieval, and hierarchical ranking of the patient data from the plurality of data sources, each data model comprising an abstract data type having a primary key configured to uniquely designate a row or a document, a search key configured to separately designate a row or a document, a grouping key configured to count number of matches to a query, and an untokenized key configured to preserve one or more predetermined fields of the document definition without tokenization, wherein the plurality of data models comprise one or more domain-specific subclasses;

storing the plurality of data models as one or more indexed documents in an index, each data model being associated with one or more schemas, each data model representing patient data according to one or more data types within the respective patient data, and each data model conforming to at least one of the one or more schemas;

processing a search request against the index, the search request comprising one or more attribute of the abstract data type, wherein the search request is automatically expanded to retrieve one or more of the plurality of data models based on one or more additional attributes associated with the one or more attribute; and

providing a search result by collecting one or more shards based on the search request.

8. The system of claim 7 , further comprising outputting a result of the search request.

9. The system of claim 8 , wherein the output of the search request is sorted based on quality of match.

10. The system of claim 7 , wherein populating the plurality of data models comprises generating and merging a data model for ingested patient data.

11. The system of claim 7 , further comprising:

outputting the data models in a time series.

12. The system of claim 7 , the abstract data type reflecting a class hierarchy.

13. A computer program product for modeling patient data, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a processor to cause the processor to perform a method comprising:

ingesting a collection of structured and unstructured patient data, the patient data comprising a plurality of modalities, the patient data comprising a longitudinal clinical history of one or more patients, the patient data from a plurality of data sources;

populating a plurality of data models based on the ingested patient data to provide for parallel search, retrieval, and hierarchical ranking of the patient data from the plurality of data sources, each data model comprising an abstract data type having a primary key configured to uniquely designate a row or a document, a search key configured to separately designate a row or a document, a grouping key configured to count number of matches to a query, and an untokenized key configured to preserve one or more predetermined fields of the document definition without tokenization, wherein the plurality of data models comprise one or more domain-specific subclasses;

storing the plurality of data models as one or more indexed documents in an index, each data model being associated with one or more schemas, each data model representing patient data according to one or more data types within the respective patient data, and each data model conforming to at least one of the one or more schemas;

processing a search request against the index, the search request comprising one or more attribute of the abstract data type, wherein the search request is automatically expanded to retrieve one or more of the plurality of data models based on one or more additional attributes associated with the one or more attribute; and

providing a search result by collecting one or more shards based on the search request.

14. The computer program product of claim 13 , further comprising outputting a result of the search request.

15. The computer program product of claim 13 , wherein populating the plurality of data models comprises generating and merging a data model for ingested patient data.

16. The computer program product of claim 13 , further comprising:

outputting the data models in a time series.

17. The computer program product of claim 13 , the abstract data type reflecting a class hierarchy.