Serdar Balcı • Research
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On this page

  • Primary repository
  • Topics covered
  • Research use
  • Related
  • Pitfalls
  1. Patoloji Bilgi Yönetim Sistemi
  2. LIS

Patoloji Bilgi Yönetim Sistemi (LIS)

Notes, integration guides, and operational documentation for the pathology LIS

← Home

  • patoloji-bilgi-yonetim-sistemi — LIS / information-system notes.

Primary repository

  • patoloji-bilgi-yonetim-sistemi — notes and documentation.

Topics covered

  • Structure — case / specimen / block / slide data model; accession numbering.
  • Interfaces — HL7 messaging, Kris report exports, scanner integration endpoints.
  • Data pulls for research — how to request a de-identified cohort, which fields are available, which are unreliable.
  • Quality signals — turnaround, amendment rates, missing-field rates.
  • Interop — bridges to QuPath / Sectra and the analytics stack.

Research use

  • All research data pulls go through the de-identification pipeline before they touch a repo. The research repos consume cleaned tables only.
  • The Text Analysis pipeline is the canonical extractor for narrative report content coming out of the LIS.
  • The Quality Research workstream consumes LIS timing data.

Related

  • Patoloji ve Bilişim — informatics essays.
  • konsultasyon — consultation tracking that integrates with the LIS.

Pitfalls

  • Field reliability varies. Some fields are populated inconsistently depending on subspecialty practice. The LIS repo documents which fields are reliable for research; don’t assume a field is trustworthy just because it’s present.
  • Timestamp interpretation. The LIS records several timestamps (received, grossed, signed-out, amended). Each means something specific — use the documented definition, don’t guess.
  • Accession numbers are identifying. Even without names, patterns of accession numbers can be identifying. Research exports use hashed accession IDs exclusively.

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