Clinical Data Reconciliation, SDTM Mapping & Practice Analytics Software

Every P-3 Apps product follows the same philosophy: perceive what's really happening in your data, produce a clean and reliable output, and propel your team's next decision.

P-3 Reconciler

Clinical data reconciliation, purpose-built for study teams. P-3 Reconciler matches unblinded, non-PII vendor data (ECG, biomarker, PK, imaging, lab, and manifest files) against your EDC source data, so header data mismatches surface early and get resolved before they hold up a study in the deliverable phases.

  • Vendor & EDC field mapping with a calibrated, auditable matching key
  • Live, cumulative reconciliation grids — match, mismatch, and missing at a glance
  • Inline review query prompts, comments, and resolution workflow carried forward across runs
  • One-click Excel and PDF exports for study documentation

P-3 SDTM

SDTM dataset generation, purpose-built for study teams. P-3 SDTM maps your EDC and vendor source data into CDISC SDTM-compliant domain datasets — with full traceability from source column to final variable, and support for multiple vendors feeding the same domain.

  • Variable-level field mapping against real CDISC SDTMIG domain specifications
  • Multi-vendor support — union several vendor and EDC sources into one domain dataset
  • Editable mapping tables — add or remove variables to match what's actually in your data
  • Locked, auditable mapping configurations before any dataset is generated

P-3 Practice Analytics

Billing and debtor analytics for medical practices. P-3 Practice Analytics brings together a practice's transaction history, age analysis, patient file, claims responses and medical aid remittances, so outstanding balances, coding problems and short payments are visible in one place, with the reasons behind them and clear next steps.

  • Age analysis built from the practice's own ledger, reconciled account by account to its billing system
  • ICD-10 checks against the South African Master Industry Table, flagging likely claim rejections
  • Claims responses and remittances matched to billing, with reasons for short or non-payment
  • Practice and practitioner reporting, including PDF analyses with a reviewed summary and actions

One philosophy, applied across every product

Perceive

  • Ingest data from disparate vendor and internal sources
  • Validate structure and flag inconsistencies early

Produce

  • Automate matching, comparison, and reporting
  • Keep an auditable trail of every decision

Propel

  • Give teams clear, actionable outputs to act on
  • Free up time for judgment, not data-wrangling

Want to see it on your own data?

Request a demo and we'll walk you through it.

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