Findability |
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Assign PIDs meaningfully.
Each PID should uniquely identify a single patient, which needs to be consistent between branch laboratories with parallel systems.
Develop solutions for unknown emergency patients, which allow correct assignment of test results when personal data is identified later on.
Develop solutions for analyses conducted for research purposes. Avoid cumulative PIDs.
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Record actual sampling time instead of planned sampling time.
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Connect all analytical devices to the lab IT system to avoid manual entries.
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Connect the lab IT system to the hospital’s central IT system to enable searches by clinicians and researchers.
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Accessibility |
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Protect lab data adequately with:
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Design ETL processes efficiently.
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Consider the general consent status of patients and allow access to data accordingly.
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Employ modern technical solutions such as multiparty computing and homomorphic encryption for merging data from different sites.
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Interoperability |
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Code analyses in a standardized manner, e.g., with LOINC codes.
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Additionally, code the device manufacturer and kit version in a standardized way.
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Code newly developed analyses in a homogenous way, even if no standardized codes are available yet.
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Enable consolidation of data from different labs.
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Reusability |
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Provide detailed metadata to maximize reproducibility, including:
LOINC codes.
batch numbers.
quality management data.
SPREC codes.
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