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Executing Complexity-Increasing Queries in Relational (MySQL) and NoSQL (MongoDB and EXist) Size-Growing ISO/EN 13606 Standardized EHR Databases
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Executing Complexity-Increasing Queries in Relational (MySQL) and NoSQL (MongoDB and EXist) Size-Growing ISO/EN 13606 Standardized EHR Databases

Executing Complexity-Increasing Queries in Relational (MySQL) and NoSQL (MongoDB and EXist) Size-Growing ISO/EN 13606 Standardized EHR Databases

8,960 Views

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07:26 min

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March 19, 2018

DOI:

10.3791/57439-v

DOI:
10.3791/57439-v

•

07:26 min
March 19, 2018

•

2 Views
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1Telemedicine and Information Society Department,Health Institute “Carlos III”

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This study compares relational and non-relational (NoSQL) standardized medical information systems. The computational complexity of the response times of querying such database management systems (DBMS) is computed using doubling-sized databases. These results help the discussion of the appropriateness of each database approach to different scenarios and problems.

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– Relational Database- NoSQL Database- MySQL- MongoDB- EXist- ISO/EN 13606- EHR Database- Complexity-increasing Queries- Response Time- Computational Complexity- Database Management Systems- SQL Server- BaseX- Electronic Health Record Systems- Index- Query Execution- Mongo Database

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Sánchez-de-Madariaga, R., Muñoz, A., Castro, A. L., Moreno, O., Pascual, M. Executing Complexity-Increasing Queries in Relational (MySQL) and NoSQL (MongoDB and EXist) Size-Growing ISO/EN 13606 Standardized EHR Databases. J. Vis. Exp. (133), e57439, doi:10.3791/57439 (2018).

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