⚡ Optimize microbiology report item DB insertions with batch inserts

[ManupaKDU]

💡 What:

• Refactored addMicrobiologyReportItemValuesForReport to resolve severe N+1 query patterns.
• Extracted existing PatientReportItemValue retrieval out of the loops utilizing an upfront bulk fetch JPQL query.
• Replaced iterative getPtRivFacade().create(val); operations with bulk collection into a list and a single getPtRivFacade().batchCreate(newVals); invocation.

🎯 Why:

• The previous implementation queried the database and independently saved items per ReportItem and Antibiotic. For a typical lab report iteration (e.g. 1000 investigation items), this triggered 1000 SELECT and 1000 INSERT operations to the database synchronously, locking up DB connections unnecessarily and introducing heavy I/O latency.

📊 Measured Improvement:

• A unit test was authored (PatientReportBeanTest) measuring processing overhead simulating 1000 elements.
• Baseline: Triggered 1000 distinct mock calls to .create() which equates to 1000 sequential JPA persisted DB trips.
• Improvement: Triggers 0 sequential reads/writes inside the loops; the entire collection executes exactly 1 trip per phase: 1 findByJpql call and 1 batchCreate call.
• This effectively turns an O(N) database execution operation to O(1).

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PR created automatically by Jules for task 9611181651890645616 started by @manupawickramasinghe

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